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<title>Banded Matrix</title>
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<body>
<h1><img src="../../../../boost.png" align="middle" />Banded Matrix</h1>
<div class="toc" id="toc"></div>
<h2><a name="banded_matrix"></a>Banded Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>banded_matrix&lt;T, F, A&gt;</code> is
the base container adaptor for banded matrices. For a <em>(m x
n</em>)-dimensional banded matrix with <em>l</em> lower and
<em>u</em> upper diagonals and <em>0 &lt;= i &lt; m</em>, <em>0
&lt;= j &lt; n</em> holds <em>b</em><sub><em>i, j</em></sub> <em>=
0</em>, if <em>i &gt; j + l</em> or <em>i &lt; j - u</em>. The
storage of banded matrices is packed.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/banded.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
banded_matrix&lt;double&gt; m (3, 3, 1, 1);
for (signed i = 0; i &lt; signed (m.size1 ()); ++ i)
for (signed j = std::max (i - 1, 0); j &lt; std::min (i + 2, signed (m.size2 ())); ++ j)
m (i, j) = 3 * i + j;
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header banded.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the storage organization. <a href=
"#banded_matrix_1">[1]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a href=
"#banded_matrix_2">[2]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;banded_matrix&lt;T, F, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>banded_matrix ()</code></td>
<td>Allocates an uninitialized <code>banded_matrix</code> that
holds zero rows of zero elements.</td>
</tr>
<tr>
<td><code>banded_matrix (size_type size1, size_type size2,
size_type lower = 0, size_type upper = 0)</code></td>
<td>Allocates an uninitialized <code>banded_matrix</code> that
holds <code>(lower + 1 + upper)</code> diagonals around the main
diagonal of a matrix with <code>size1</code> rows of
<code>size2</code> elements.</td>
</tr>
<tr>
<td><code>banded_matrix (const banded_matrix &amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_matrix (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, size_type
lower = 0, size_type upper = 0, bool preserve = true)</code></td>
<td>Reallocates a <code>banded_matrix</code> to hold <code>(lower +
1 + upper)</code> diagonals around the main diagonal of a matrix
with <code>size1</code> rows of <code>size2</code> elements. The
existing elements of the <code>banded_matrix</code> are preseved
when specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>size_type lower () const</code></td>
<td>Returns the number of diagonals below the main diagonal.</td>
</tr>
<tr>
<td><code>size_type upper () const</code></td>
<td>Returns the number of diagonals above the main diagonal.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>banded_matrix &amp;operator = (const banded_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>banded_matrix &amp;assign_temporary (banded_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the banded matrix
<code>m</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_matrix &amp;operator = (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the banded matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_matrix &amp;operator += (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the banded matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_matrix &amp;plus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a matrix expression to the banded matrix. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_matrix &amp;operator -= (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the banded matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_matrix &amp;minus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a matrix expression from the banded matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
banded_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the banded matrix
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
banded_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the banded matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (banded_matrix &amp;m)</code></td>
<td>Swaps the contents of the banded matrices.</td>
</tr>
<tr>
<td><code>void insert (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void erase (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th elemenst of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>banded_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>banded_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="banded_matrix_1" id="banded_matrix_1">[1]</a> Supported
parameters for the storage organization are <code>row_major</code>
and <code>column_major</code>.</p>
<p><a name="banded_matrix_2" id="banded_matrix_2">[2]</a> Supported
parameters for the adapted array are
<code>unbounded_array&lt;T&gt;</code> ,
<code>bounded_array&lt;T&gt;</code> and
<code>std::vector&lt;T&gt;</code> .</p>
<h2><a name="banded_adaptor"></a>Banded Adaptor</h2>
<h4>Description</h4>
<p>The templated class <code>banded_adaptor&lt;M&gt;</code> is a
banded matrix adaptor for other matrices.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/banded.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
matrix&lt;double&gt; m (3, 3);
banded_adaptor&lt;matrix&lt;double&gt; &gt; ba (m, 1, 1);
for (signed i = 0; i &lt; signed (ba.size1 ()); ++ i)
for (signed j = std::max (i - 1, 0); j &lt; std::min (i + 2, signed (ba.size2 ())); ++ j)
ba (i, j) = 3 * i + j;
std::cout &lt;&lt; ba &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header banded.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>M</code></td>
<td>The type of the adapted matrix.</td>
<td></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#matrix_expression">Matrix Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#matrix_expression">Matrix Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_expression&lt;banded_adaptor&lt;M&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>banded_adaptor (matrix_type &amp;data, size_type lower =
0, size_type upper = 0)</code></td>
<td>Constructs a <code>banded_adaptor</code> that holds
<code>(lower + 1 + upper)</code> diagonals around the main diagonal
of a matrix.</td>
</tr>
<tr>
<td><code>banded_adaptor (const banded_adaptor &amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_adaptor (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>size_type lower () const</code></td>
<td>Returns the number of diagonals below the main diagonal.</td>
</tr>
<tr>
<td><code>size_type upper () const</code></td>
<td>Returns the number of diagonals above the main diagonal.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>banded_adaptor &amp;operator = (const banded_adaptor
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>banded_adaptor &amp;assign_temporary (banded_adaptor
&amp;m)</code></td>
<td>Assigns a temporary. May change the banded adaptor
<code>m</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_adaptor &amp;operator = (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_adaptor &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the banded adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_adaptor &amp;operator += (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the banded adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_adaptor &amp;plus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a matrix expression to the banded adaptor. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_adaptor &amp;operator -= (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the banded adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
banded_adaptor &amp;minus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a matrix expression from the banded adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
banded_adaptor &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the banded adaptor
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
banded_adaptor &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the banded adaptor
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (banded_adaptor &amp;m)</code></td>
<td>Swaps the contents of the banded adaptors.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>banded_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>banded_adaptor</code>.</td>
</tr>
</tbody>
</table>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt</a>).
</p>
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<h1>Level 3 BLAS</h1>
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<a name="_details"></a>
<table summary="" border=0 cellpadding=0 cellspacing=0>
<tr><td></td></tr>
<tr><td colspan=2><br /><h2>Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M1, class T, class M2, class M3&gt; M1 &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="#ga0">boost::numeric::ublas::blas_3::tmm</a> (M1 &amp;m1, const T &amp;t, const M2 &amp;m2, const M3 &amp;m3)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">triangular matrix multiplication <a href="#ga0"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M1, class T, class M2, class C&gt; M1 &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="#ga1">boost::numeric::ublas::blas_3::tsm</a> (M1 &amp;m1, const T &amp;t, const M2 &amp;m2, C)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">triangular solve <em>m2</em> * <em>x</em> = <em>t</em> * <em>m1</em> in place, <em>m2</em> is a triangular matrix <a href="#ga1"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M1, class T1, class T2, class M2, class M3&gt; M1 &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="#ga2">boost::numeric::ublas::blas_3::gmm</a> (M1 &amp;m1, const T1 &amp;t1, const T2 &amp;t2, const M2 &amp;m2, const M3 &amp;m3)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">general matrix multiplication <a href="#ga2"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M1, class T1, class T2, class M2&gt; M1 &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="#ga3">boost::numeric::ublas::blas_3::srk</a> (M1 &amp;m1, const T1 &amp;t1, const T2 &amp;t2, const M2 &amp;m2)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">symmetric rank k update: <em>m1</em> = <em>t</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m2<sup>T</sup></em>) <a href="#ga3"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M1, class T1, class T2, class M2&gt; M1 &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="#ga4">boost::numeric::ublas::blas_3::hrk</a> (M1 &amp;m1, const T1 &amp;t1, const T2 &amp;t2, const M2 &amp;m2)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">hermitian rank k update: <em>m1</em> = <em>t</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m2<sup>H</sup></em>) <a href="#ga4"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M1, class T1, class T2, class M2, class M3&gt; M1 &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="#ga5">boost::numeric::ublas::blas_3::sr2k</a> (M1 &amp;m1, const T1 &amp;t1, const T2 &amp;t2, const M2 &amp;m2, const M3 &amp;m3)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">generalized symmetric rank k update: <em>m1</em> = <em>t1</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m3<sup>T</sup></em>) + <em>t2</em> * (<em>m3</em> * <em>m2<sup>T</sup></em>) <a href="#ga5"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M1, class T1, class T2, class M2, class M3&gt; M1 &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="#ga6">boost::numeric::ublas::blas_3::hr2k</a> (M1 &amp;m1, const T1 &amp;t1, const T2 &amp;t2, const M2 &amp;m2, const M3 &amp;m3)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">generalized hermitian rank k update: <em>m1</em> = <em>t1</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m3<sup>H</sup></em>) + (<em>m3</em> * (<em>t2</em> * <em>m2</em>)<sup>H</sup>) <a href="#ga6"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M, class E1, class E2&gt; BOOST_UBLAS_INLINE M &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="products.html#ga7">boost::numeric::ublas::axpy_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, M &amp;m, bool init=true)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion. <a href="products.html#ga7"></a><br /><br /></td></tr>
<tr><td class="memItemLeft" nowrap align=right valign=top>template&lt;class M, class E1, class E2&gt; BOOST_UBLAS_INLINE M &amp;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="products.html#ga8">boost::numeric::ublas::opb_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, M &amp;m, bool init=true)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion. <a href="products.html#ga8"></a><br /><br /></td></tr>
</table>
<hr />
<h2>Function Documentation</h2>
<a class="anchor" name="ga0" doxytag="boost::numeric::ublas::blas_3::tmm" ></a>
<table summary="" class="mdTable" width="100%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> M1&amp; tmm </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">M1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M3 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m3</em></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>triangular matrix multiplication </p>
</td>
</tr>
</table>
<a class="anchor" name="ga1" doxytag="boost::numeric::ublas::blas_3::tsm" ></a>
<table summary="" class="mdTable" width="100%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> M1&amp; tsm </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">M1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>C&nbsp;</td>
<td class="mdname" nowrap></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
triangular solve <em>m2</em> * <em>x</em> = <em>t</em> * <em>m1</em> in place, <em>m2</em> is a triangular matrix
</p>
</td>
</tr>
</table>
<a class="anchor" name="ga2" doxytag="boost::numeric::ublas::blas_3::gmm" ></a>
<table summary="" class="mdTable" width="100%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> M1&amp; gmm </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">M1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M3 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m3</em></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
general matrix multiplication
</p>
</td>
</tr>
</table>
<a class="anchor" name="ga3" doxytag="boost::numeric::ublas::blas_3::srk" ></a>
<table summary="" class="mdTable" width="100%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> M1&amp; srk </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">M1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m2</em></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
symmetric rank k update: <em>m1</em> = <em>t</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m2<sup>T</sup></em>)
</p>
<dl compact><dt><b>Todo:</b></dt><dd>use opb_prod() </dd></dl>
</td>
</tr>
</table>
<a class="anchor" name="ga4" doxytag="boost::numeric::ublas::blas_3::hrk" ></a>
<table summary="" class="mdTable" width="100%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> M1&amp; hrk </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">M1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m2</em></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
hermitian rank k update: <em>m1</em> = <em>t</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m2<sup>H</sup></em>)
</p>
<dl compact><dt><b>Todo:</b></dt><dd>use opb_prod()</dd></dl>
</td>
</tr>
</table>
<a class="anchor" name="ga5" doxytag="boost::numeric::ublas::blas_3::sr2k" ></a>
<table summary="" class="mdTable" width="100%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> M1&amp; sr2k </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">M1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M3 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m3</em></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
generalized symmetric rank k update: <em>m1</em> = <em>t1</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m3<sup>T</sup></em>) + <em>t2</em> * (<em>m3</em> * <em>m2<sup>T</sup></em>)
</p>
<dl compact><dt><b>Todo:</b></dt><dd>use opb_prod()</dd></dl>
</td>
</tr>
</table>
<a class="anchor" name="ga6" doxytag="boost::numeric::ublas::blas_3::hr2k" ></a>
<table summary="" class="mdTable" width="100%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> M1&amp; hr2k </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">M1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T1 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const T2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>t2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M2 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const M3 &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m3</em></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
generalized hermitian rank k update: <em>m1</em> = <em>t1</em> * <em>m1</em> + <em>t2</em> * (<em>m2</em> * <em>m3<sup>H</sup></em>) + (<em>m3</em> * (<em>t2</em> * <em>m2</em>)<sup>H</sup>)
</p>
<dl compact><dt><b>Todo:</b></dt><dd>use opb_prod()</dd></dl>
</td>
</tr>
</table>
<hr />
<p>Copyright (&copy;) 2000-2004 Michael Stevens, Mathias Koch,
Joerg Walter, Gunter Winkler<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt</a>).
</p>
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=us-ascii" />
<link rel="stylesheet" href="../../../../boost.css" type="text/css"/>
<link rel="stylesheet" href="ublas.css" type="text/css" />
<script type="text/javascript" src="js/jquery-1.3.2.min.js" async="async" ></script>
<script type="text/javascript" src="js/jquery.toc-gw.js" async="async" ></script>
<title>Bounded Array;</title>
</head>
<body>
<h1><img src="../../../../boost.png" align="middle" />Bounded Array Storage</h1>
<div class="toc" id="toc"></div>
<h2><a name="bounded_array"></a>Bounded Array</h2>
<h4>Description</h4>
<p>The templated class <code>bounded_array&lt;T, N, ALLOC&gt;</code> implements a bounded storage array. The bounded array is similar to a C++ array type in that its maximum size is bounded by N and is allocated on the stack instead of the heap. Similarly a <code>bounded_array</code> requires no secondary storage and ALLOC is only used to specify <code>size_type</code> and <code>difference_type</code>.
</p>
<p>When resized <code>bounded_array</code> never reallocated the storage. It is therefore always efficient to resize a <code>bounded_array</code> but the size bound N must not be exceeded.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/storage.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
bounded_array&lt;double, 3&gt; a (3);
for (unsigned i = 0; i &lt; a.size (); ++ i) {
a [i] = i;
std::cout &lt;&lt; a [i] &lt;&lt; std::endl;
}
}
</pre>
<h4>Definition</h4>
<p>Defined in the header storage.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the array.</td>
<td></td>
</tr>
<tr>
<td><code>N</code></td>
<td>The allocation size of the array.</td>
<td></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="storage_concept.html">Storage</a></p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of Storage.</p>
<h4>Public base classes</h4>
<p>None.</p>
<h4>Members</h4>
<ul>
<li>The description does not describe what the member actually does, this can be looked up
in the corresponding concept documentation, but instead contains a remark on the implementation of the
member inside this model of the concept.</li>
<li>Typography:
<ul>
<li>Members that are not part of the implemented concepts are <font color="blue">in blue</font>.</li>
</ul>
</li>
</ul>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Where defined</th>
<th>Description</th>
</tr>
<tr><td><code>value_type</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td></tr>
<tr><td><code>pointer</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>value_type*</code></td></tr>
<tr><td><code>const_pointer</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>const value_type*</code></td></tr>
<tr><td><code>reference</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>value_type&amp;</code></td></tr>
<tr><td><code>const_reference</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>const value_type&amp;</code></td></tr>
<tr><td><code>size_type</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>Alloc::size_type</code></td></tr>
<tr><td><code>difference_type</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>Alloc::difference_type</code></td></tr>
<tr><td><code>iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>pointer</code></td></tr>
<tr><td><code>const_iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>const_pointer</code></td></tr>
<tr><td><code>revere_iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>std::reverse_iterator&lt;iterator&gt;</code></td></tr>
<tr><td><code>const_revere_iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>std::reverse_iterator&lt;const_iterator&gt;</code></td></tr>
<tr>
<td><code>bounded_array ()</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Creates an <code>unbounded_array</code> that holds <strong>zero</strong> elements.</td>
</tr>
<tr>
<td><code>bounded_array (size_type size)</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Creates a uninitialized <code>bounded_array</code> that holds <code>size</code> elements. All the elements are default constructed.</td>
</tr>
<tr>
<td><code>bounded_array (size_type size, const T&amp; init)</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Creates an initialized <code>bounded_array</code> that holds <code>size</code> elements. All the elements are constructed from the <code>init</code> value.</td>
</tr>
<tr>
<td><code>bounded_array (const bounded_array &amp;c)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>~bounded_array ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Deallocates the <code>bounded_array</code> itself.</td>
</tr>
<tr>
<td><code>void resize (size_type size)</code></td>
<td><a href="storage_concept.html">Storage</a>
<td>Reallocates a <code>bounded_array</code> to hold <code>size</code> elements.</td>
</tr>
<tr>
<td><code>void resize (size_type size, const T&amp; t)</code></td>
<td><a href="storage_concept.html">Storage</a>
<td>Reallocates a <code>bounded_array</code> to hold <code>size</code> elements.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns the size of the <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i) const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>const</code> reference of the <code>i</code> -th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>bounded_array &amp;operator = (const bounded_array &amp;a)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><font color="blue"><code>bounded_array &amp;assign_temporary (bounded_array &amp;a)</code></font></td>
<td></td>
<td>Assigns a temporary. May change the array <code>a</code>.</td>
</tr>
<tr>
<td><code>void swap (bounded_array &amp;a)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Swaps the contents of the arrays.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning of the <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>const_iterator</code> pointing to the end of the <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>iterator</code> pointing to the beginning of the <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>iterator</code> pointing to the end of the <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the beginning of the reversed <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the end of the reversed <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>reverse_iterator</code> pointing to the beginning of the reversed <code>bounded_array</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of the reversed <code>bounded_array</code>.</td>
</tr>
</tbody>
</table>
<hr />
<p>
Copyright (&copy;) 2000-2004 Michael Stevens, Mathias Koch,
Joerg Walter, Gunter Winkler<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" />Container Concepts</h1>
<div class="toc" id="toc"></div>
<h2><a name="vector"></a>Vector</h2>
<h4>Description</h4>
<p>A Vector describes common aspects of dense, packed and sparse
vectors.</p>
<h4>Refinement of</h4>
<p><a href="http://www.sgi.com/tech/stl/DefaultConstructible.html">DefaultConstructible</a>,
<a href="expression_concept.html#vector_expression">Vector Expression</a>
<a href="#vector_expression_note">[1]</a>.</p>
<h4>Associated types</h4>
<p>In addition to the types defined by <a href="expression_concept.html#vector_expression">Vector Expression</a></p>
<table border="1" summary="types">
<tbody>
<tr>
<td>Public base</td>
<td>vector_container&lt;V&gt;</td>
<td>V must be derived from this public base type.</td>
</tr>
<tr>
<td>Storage array</td>
<td>V::array_type</td>
<td>
Dense Vector ONLY. The type of underlying storage array used to store the elements. The array_type must model the
<a href="storage_concept.html"><b>Storage</b></a> concept.</td>
</tr>
</tbody>
</table>
<h4>Notation</h4>
<table border="0" summary="notation">
<tbody>
<tr>
<td><code>V</code></td>
<td>A type that is a model of Vector</td>
</tr>
<tr>
<td><code>v</code></td>
<td>Objects of type <code>V</code></td>
</tr>
<tr>
<td><code>n, i</code></td>
<td>Objects of a type convertible to <code>size_type</code></td>
</tr>
<tr>
<td><code>t</code></td>
<td>Object of a type convertible to <code>value_type</code></td>
</tr>
<tr>
<td><code>p</code></td>
<td>Object of a type convertible to <code>bool</code></td>
</tr>
</tbody>
</table>
<h4>Definitions</h4>
<h4>Valid expressions</h4>
<p>In addition to the expressions defined in <a href="http://www.sgi.com/tech/stl/DefaultConstructible.html">DefaultConstructible</a>,
<a href="expression_concept.html#vector_expression">Vector Expression</a> the following expressions must be valid.</p>
<table border="1" summary="expressions">
<tbody>
<tr>
<th>Name</th>
<th>Expression</th>
<th>Type requirements</th>
<th>Return type</th>
</tr>
<tr>
<td>Sizing constructor</td>
<td><code>V v (n)</code></td>
<td>&nbsp;</td>
<td><code>V</code></td>
</tr>
<tr>
<td>Insert</td>
<td><code>v.insert_element (i, t)</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Erase</td>
<td><code>v.erase_element (i)</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Clear</td>
<td><code>v.clear ()</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Resize</td>
<td><code>v.resize (n)</code><br />
<code>v.resize (n, p)</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Storage</td>
<td><code>v.data()</code></td>
<td><code>v</code> is mutable and Dense.</td>
<td><code>array_type&amp;</code> if <code>v</code> is mutable, <code>const array_type&amp;</code> otherwise</td>
</tr>
</tbody>
</table>
<h4>Expression semantics</h4>
<p>Semantics of an expression is defined only where it differs
from, or is not defined in <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</p>
<table border="1" summary="semantics">
<tr>
<th>Name</th>
<th>Expression</th>
<th>Precondition</th>
<th>Semantics</th>
<th>Postcondition</th>
</tr>
<tr>
<td>Sizing constructor</td>
<td><code>V v (n)</code></td>
<td><code>n &gt;= 0</code></td>
<td>Allocates a vector of<code>n</code> elements.</td>
<td><code>v.size () == n</code>.</td>
</tr>
<tr>
<td>Element access <a href="#element_access_note">[2]</a></td>
<td><code>v[n]</code></td>
<td><code>0&lt;n&gt;v.size()</code></td>
<td>returns the n-th element in v</td>
<td>&nbsp;</td>
</tr>
<tr>
<td>Insert</td>
<td><code>v.insert_element (i, t)</code></td>
<td><code>0 &lt;= i &lt; v.size ()</code>.</td>
<td>Inserts an element at <code>v (i)</code> with value <code>t</code>.
The storage requirement of the Vector may be increased.</td>
<td><code>v (i)</code> is equal to <code>t</code>.</td>
</tr>
<tr>
<td>Erase</td>
<td><code>v.erase_element (i)</code></td>
<td><code>0 &lt;= i &lt; v.size ()</code></td>
<td>Destroys the element as <code>v (i)</code> and replaces it with the default
<code>value_type ()</code>.
The storage requirement of the Vector may be decreased.</td>
<td><code>v (i)</code> is equal to <code>value_type ()</code>.</td>
</tr>
<tr>
<td>Clear</td>
<td><code>v.clear ()</code></td>
<td>&nbsp;</td>
<td>Equivalent to<br />
<code>for (i = 0; i &lt; v.size (); ++ i)</code><br />
&nbsp; <code>v.erase_element (i);</code></td>
<td>&nbsp;</td>
</tr>
<tr>
<td>Resize</td>
<td><code>v.resize (n)
<br />v.resize (n, p)</code></td>
<td>&nbsp;</td>
<td>Reallocates the vector so that it can hold <code>n</code>
elements.<br />
Erases or appends elements in order to bring the vector to the prescribed size. Appended elements copies of <code>value_type()</code>.
<br />
When <code>p == false</code> then existing elements are not preserved and elements will not appended as normal. Instead the vector is in the same state as that after an equivalent sizing constructor.</td>
<td><code>v.size () == n</code>.</td>
</tr>
<tr>
<td>Storage</td>
<td><code>v.data()</code></td>
<td></td>
<td>Returns a reference to the underlying dense storage.</td>
<td>&nbsp;</td>
</tr>
</table>
<h4>Complexity guarantees</h4>
<p>The run-time complexity of the sizing constructor is linear in
the vector's size.</p>
<p>The run-time complexity of insert_element and erase_element is specific for the
Vector model and it depends on increases/decreases in storage requirements.</p>
<p>The run-time complexity of resize is linear in the vector's
size.</p>
<h4>Invariants</h4>
<h4>Models</h4>
<ul>
<li><code>vector</code>, <code>bounded_vector</code>, <code>c_vector</code></li>
<li><code>unit_vector</code>, <code>zero_vector</code>, <code>scalar_vector</code></li>
<li><code>mapped_vector;</code>, <code>compressed_vector</code>, <code>coordinate_vector</code></li>
</ul>
<h4>Notes</h4>
<p><a name="vector_expression_note">[1]</a>
As a user you need not care about <tt>Vector</tt> being a refinement of the VectorExpression. Being a refinement of the VectorExpression is only important for the template-expression engine but not the user.</p>
<p><a name="element_access_note">[2]</a>
The <code>operator[]</code> is added purely for convenience
and compatibility with the <code>std::vector</code>. In uBLAS however,
generally <code>operator()</code> is used for indexing because this can be
used for both vectors and matrices.</p>
<h2><a name="matrix"></a>Matrix</h2>
<h4>Description</h4>
<p>A Matrix describes common aspects of dense, packed and sparse
matrices.</p>
<h4>Refinement of</h4>
<p><a href="http://www.sgi.com/tech/stl/DefaultConstructible.html">DefaultConstructible</a>,
<a href="expression_concept.html#matrix_expression">Matrix Expression</a>
<a href="#matrix_expression_note">[1]</a>
.</p>
<h4>Associated types</h4>
<p>In addition to the types defined by <a href="expression_concept.html#matrix_expression">Matrix Expression</a></p>
<table border="1" summary="types">
<tbody>
<tr>
<td>Public base</td>
<td>matrix_container&lt;M&gt;</td>
<td>M must be derived from this public base type.</td>
</tr>
<tr>
<td>Storage array</td>
<td>M::array_type</td>
<td>Dense Matrix ONLY. The type of underlying storage array used to store the elements. The array_type must model
the <a href="storage_concept.html"><b>Storage</b></a> concept.</td>
</tr>
</tbody>
</table>
<h4>Notation</h4>
<table border="0" summary="notation">
<tbody>
<tr>
<td><code>M</code></td>
<td>A type that is a model of Matrix</td>
</tr>
<tr>
<td><code>m</code></td>
<td>Objects of type <code>M</code></td>
</tr>
<tr>
<td><code>n1, n2, i, j</code></td>
<td>Objects of a type convertible to <code>size_type</code></td>
</tr>
<tr>
<td><code>t</code></td>
<td>Object of a type convertible to <code>value_type</code></td>
</tr>
<tr>
<td><code>p</code></td>
<td>Object of a type convertible to <code>bool</code></td>
</tr>
</tbody>
</table>
<h4>Definitions</h4>
<h4>Valid expressions</h4>
<p>In addition to the expressions defined in <a href=
"expression_concept.html#matrix_expression">Matrix Expression</a> the
following expressions must be valid.</p>
<table border="1" summary="expressions">
<tbody>
<tr>
<th>Name</th>
<th>Expression</th>
<th>Type requirements</th>
<th>Return type</th>
</tr>
<tr>
<td>Sizing constructor</td>
<td><code>M m (n1, n2)</code></td>
<td>&nbsp;</td>
<td><code>M</code></td>
</tr>
<tr>
<td>Insert</td>
<td><code>m.insert_element (i, j, t)</code></td>
<td><code>m</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Erase</td>
<td><code>m.erase_element (i, j)</code></td>
<td><code>m</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Clear</td>
<td><code>m.clear ()</code></td>
<td><code>m</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Resize</td>
<td><code>m.resize (n1, n2)</code><br />
<code>m.resize (n1, n2, p)</code></td>
<td><code>m</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Storage</td>
<td><code>m.data()</code></td>
<td><code>m</code> is mutable and Dense.</td>
<td><code>array_type&amp;</code> if <code>m</code> is mutable, <code>const array_type&amp;</code> otherwise</td>
</tr>
</tbody>
</table>
<h4>Expression semantics</h4>
<p>Semantics of an expression is defined only where it differs
from, or is not defined in <a href=
"expression_concept.html#matrix_expression">Matrix Expression</a> .</p>
<table border="1" summary="semantics">
<tbody>
<tr>
<th>Name</th>
<th>Expression</th>
<th>Precondition</th>
<th>Semantics</th>
<th>Postcondition</th>
</tr>
<tr>
<td>Sizing constructor</td>
<td><code>M m (n1, n2)</code></td>
<td><code>n1 &gt;= 0</code> and <code>n2 &gt;= 0</code></td>
<td>Allocates a matrix of <code>n1</code> rows and <code>n2</code>
columns.</td>
<td><code>m.size1 () == n1</code> and <code>m.size2 () ==
n2</code>.</td>
</tr>
<tr>
<td>Insert</td>
<td><code>m.insert_element (i, j, t)</code></td>
<td><code>0 &lt;= i &lt; m.size1 ()</code>,<br />
<code>0 &lt;= j &lt; m.size2 ()</code>.</td>
<td>Inserts an element at <code>m (i, j)</code> with value <code>t</code>.
The storage requirement of the Matrix may be increased.</td>
<td><code>m (i, j)</code> is equal to <code>t</code>.</td>
</tr>
<tr>
<td>Erase</td>
<td><code>m.erase_element (i, j)</code></td>
<td><code>0 &lt;= i &lt; m.size1 ()</code>and <code><br />
0 &lt;= j &lt; m.size2</code></td>
<td>Destroys the element as <code>m (i, j)</code> and replaces it with the default
<code>value_type ()</code>.
The storage requirement of the Matrix may be decreased.</td>
<td><code>m (i, j)</code> is equal to <code>value_type ()</code>.</td>
</tr>
<tr>
<td>Clear</td>
<td><code>m.clear ()</code></td>
<td>&nbsp;</td>
<td>Equivalent to<br />
<code>for (i = 0; i &lt; m.size1 (); ++ i)</code><br />
&nbsp; <code>for (j = 0; j &lt; m.size2 (); ++ j)</code><br />
&nbsp; &nbsp; <code>m.erase_element (i, j);</code></td>
<td>&nbsp;</td>
</tr>
<tr>
<td>Resize</td>
<td><code>m.resize (n1, n2)
<br />
m.resize (n1, n2, p)
</code></td>
<td>&nbsp;</td>
<td>Reallocate the matrix so that it can hold <code>n1</code> rows
and <code>n2</code> columns.<br />
Erases or appends elements in order to bring the matrix to the
prescribed size. Appended elements are <code>value_type()</code>
copies.<br />
When <code>p == false</code> then existing elements are not preserved and elements will not appended as normal. Instead the matrix is in the same state as that after an equivalent sizing constructor.</td>
<td><code>m.size1 () == n1</code> and <code>m.size2 () == n2</code>.</td>
</tr>
<tr>
<td>Storage</td>
<td><code>m.data()</code></td>
<td></td>
<td>Returns a reference to the underlying dense storage.</td>
<td>&nbsp;</td>
</tbody>
</table>
<h4>Complexity guarantees</h4>
<p>The run-time complexity of the sizing constructor is quadratic
in the matrix's size.</p>
<p>The run-time complexity of insert_element and erase_element is specific for the
Matrix model and it depends on increases/decreases in storage requirements.</p>
<p>The run-time complexity of resize is quadratic in the matrix's
size.</p>
<h4>Invariants</h4>
<h4>Models</h4>
<ul>
<li><code>matrix</code>, <code>bounded_matrix</code>, <code>c_matrix</code></li>
<li><code>identity_matrix</code> , <code>zero_matrix</code> , <code>scalar_matrix</code></li>
<li><code>triangular_matrix</code> , <code>symmetric_matrix</code> , <code>banded_matrix</code></li>
<li><code>mapped_matrix</code> , <code>compressed_matrix</code> , <code>coordinate_matrix</code></li>
</ul>
<h4>Notes</h4>
<p><a name="matrix_expression_note">[1]</a>
As a user you need not care about <tt>Matrix</tt> being a refinement of the MatrixExpression. Being a refinement of the MatrixExpression is only important for the template-expression engine but not the user.</p>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" />Hermitian Matrix</h1>
<div class="toc" id="toc"></div>
<h2><a name="hermitian_matrix"></a>Hermitian Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>hermitian_matrix&lt;T, F1, F2,
A&gt;</code> is the base container adaptor for hermitian matrices.
For a <em>(n x n</em> )-dimensional hermitian matrix and <em>0
&lt;= i &lt; n</em>, <em>0 &lt;= j &lt; n</em> holds
<em>h</em><sub><em>i, j</em></sub> <em>= h</em><sub><em>j,
i</em></sub><sup><em>-</em></sup>. The storage of hermitian
matrices is packed.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/hermitian.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
hermitian_matrix&lt;std::complex&lt;double&gt;, lower&gt; ml (3, 3);
for (unsigned i = 0; i &lt; ml.size1 (); ++ i) {
for (unsigned j = 0; j &lt; i; ++ j)
ml (i, j) = std::complex&lt;double&gt; (3 * i + j, 3 * i + j);
ml (i, i) = std::complex&lt;double&gt; (4 * i, 0);
}
std::cout &lt;&lt; ml &lt;&lt; std::endl;
hermitian_matrix&lt;std::complex&lt;double&gt;, upper&gt; mu (3, 3);
for (unsigned i = 0; i &lt; mu.size1 (); ++ i) {
mu (i, i) = std::complex&lt;double&gt; (4 * i, 0);
for (unsigned j = i + 1; j &lt; mu.size2 (); ++ j)
mu (i, j) = std::complex&lt;double&gt; (3 * i + j, 3 * i + j);
}
std::cout &lt;&lt; mu &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header hermitian.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F1</code></td>
<td>Functor describing the type of the hermitian matrix. <a href=
"#hermitian_matrix_1">[1]</a></td>
<td><code>lower</code></td>
</tr>
<tr>
<td><code>F2</code></td>
<td>Functor describing the storage organization. <a href=
"#hermitian_matrix_2">[2]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a href=
"#hermitian_matrix_3">[3]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;hermitian_matrix&lt;T, F1, F2, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>hermitian_matrix ()</code></td>
<td>Allocates an uninitialized <code>hermitian_matrix</code> that
holds zero rows of zero elements.</td>
</tr>
<tr>
<td><code>hermitian_matrix (size_type size)</code></td>
<td>Allocates an uninitialized <code>hermitian_matrix</code> that
holds <code>size</code> rows of <code>size</code> elements.</td>
</tr>
<tr>
<td><code>hermitian_matrix (const hermitian_matrix
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_matrix (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool preserve =
true)</code></td>
<td>Reallocates a <code>hermitian_matrix</code> to hold
<code>size</code> rows of <code>size</code> elements. The existing
elements of the <code>hermitian_matrix</code> are preseved when
specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>hermitian_matrix &amp;operator = (const hermitian_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>hermitian_matrix &amp;assign_temporary (hermitian_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the hermitian matrix
<code>m</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_matrix &amp;operator = (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the hermitian matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_matrix &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the hermitian matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_matrix &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the hermitian matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_matrix &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the hermitian matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_matrix &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the hermitian matrix. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
hermitian_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the hermitian matrix
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
hermitian_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the hermitian matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (hermitian_matrix &amp;m)</code></td>
<td>Swaps the contents of the hermitian matrices.</td>
</tr>
<tr>
<td><code>void insert (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void erase (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th elemenst of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>hermitian_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>hermitian_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="hermitian_matrix_1" id="hermitian_matrix_1">[1]</a>
Supported parameters for the type of the hermitian matrix are
<code>lower</code> and <code>upper</code>.</p>
<p><a name="hermitian_matrix_2" id="hermitian_matrix_2">[2]</a>
Supported parameters for the storage organization are
<code>row_major</code> and <code>column_major</code>.</p>
<p><a name="hermitian_matrix_3" id="hermitian_matrix_3">[3]</a>
Supported parameters for the adapted array are
<code>unbounded_array&lt;T&gt;</code> ,
<code>bounded_array&lt;T&gt;</code> and
<code>std::vector&lt;T&gt;</code> .</p>
<h2><a name="hermitian_adaptor"></a>Hermitian Adaptor</h2>
<h4>Description</h4>
<p>The templated class <code>hermitian_adaptor&lt;M, F&gt;</code>
is a hermitian matrix adaptor for other matrices.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/hermitian.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
matrix&lt;std::complex&lt;double&gt; &gt; m (3, 3);
hermitian_adaptor&lt;matrix&lt;std::complex&lt;double&gt; &gt;, lower&gt; hal (m);
for (unsigned i = 0; i &lt; hal.size1 (); ++ i) {
for (unsigned j = 0; j &lt; i; ++ j)
hal (i, j) = std::complex&lt;double&gt; (3 * i + j, 3 * i + j);
hal (i, i) = std::complex&lt;double&gt; (4 * i, 0);
}
std::cout &lt;&lt; hal &lt;&lt; std::endl;
hermitian_adaptor&lt;matrix&lt;std::complex&lt;double&gt; &gt;, upper&gt; hau (m);
for (unsigned i = 0; i &lt; hau.size1 (); ++ i) {
hau (i, i) = std::complex&lt;double&gt; (4 * i, 0);
for (unsigned j = i + 1; j &lt; hau.size2 (); ++ j)
hau (i, j) = std::complex&lt;double&gt; (3 * i + j, 3 * i + j);
}
std::cout &lt;&lt; hau &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header hermitian.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>M</code></td>
<td>The type of the adapted matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the type of the hermitian adaptor. <a href=
"#hermitian_adaptor_1">[1]</a></td>
<td><code>lower</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#matrix_expression">Matrix Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#matrix_expression">Matrix Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_expression&lt;hermitian_adaptor&lt;M, F&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>hermitian_adaptor (matrix_type &amp;data)</code></td>
<td>Constructs a <code>hermitian_adaptor</code> of a matrix.</td>
</tr>
<tr>
<td><code>hermitian_adaptor (const hermitian_adaptor
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_adaptor (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>hermitian_adaptor &amp;operator = (const
hermitian_adaptor &amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>hermitian_adaptor &amp;assign_temporary
(hermitian_adaptor &amp;m)</code></td>
<td>Assigns a temporary. May change the hermitian adaptor
<code>m</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_adaptor &amp;operator = (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_adaptor &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the hermitian adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_adaptor &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the hermitian adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_adaptor &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the hermitian adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_adaptor &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the hermitian adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
hermitian_adaptor &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the hermitian adaptor. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
hermitian_adaptor &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the hermitian
adaptor with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
hermitian_adaptor &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the hermitian adaptor
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (hermitian_adaptor &amp;m)</code></td>
<td>Swaps the contents of the hermitian adaptors.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>hermitian_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>hermitian_adaptor</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="hermitian_adaptor_1" id="hermitian_adaptor_1">[1]</a>
Supported parameters for the type of the hermitian adaptor are
<code>lower</code> and <code>upper</code>.</p>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" alt="logo"/>Basic Linear Algebra Library</h1>
<div class="toc" id="toc"></div>
<p>uBLAS is a C++ template class library that provides <a href="http://www.netlib.org/blas">BLAS</a> level 1, 2, 3
functionality for dense, packed and sparse matrices. The design and implementation unify mathematical notation via
operator overloading and efficient code generation via expression templates.</p>
<h2>Functionality</h2>
<p>uBLAS provides templated C++ classes for dense, unit and sparse vectors, dense, identity, triangular, banded,
symmetric, hermitian and sparse matrices. Views into vectors and matrices can be constructed via ranges, slices,
adaptor classes and indirect arrays. The library covers the usual basic linear algebra operations on vectors and matrices: reductions like
different norms, addition and subtraction of vectors and matrices and multiplication with a scalar, inner and outer
products of vectors, matrix vector and matrix matrix products and triangular solver. The glue between containers, views
and expression templated operations is a mostly <a href="http://www.sgi.com/tech/stl">STL</a> conforming iterator interface.</p>
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<ul>
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</li>
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</li>
</ul>
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<ul>
<li><a href="hermitian.html#hermitian_matrix">Hermitian Matrix</a>
</li>
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</li>
</ul>
</li>
<li><a href="banded.html">Banded Matrix</a>
<ul>
<li><a href="banded.html#banded_matrix">Banded Matrix</a>
</li>
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<li>Storage and special containers
<ul>
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</li>
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</li>
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</li>
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<ul>
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</li>
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</li>
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</li>
<li>Operations &amp; Functions
<ul>
<li><a href="products.html">Special Products</a>
</li>
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<li>uBLAS Concept definitions
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<li><a href="iterator_concept.html#indexed_random_access_cr_iterator">Indexed Random Access Column/Row Iterator</a>
</li>
</ul>
</li>
</ul></li>
</ul>
<a name="further_information" id="further_information"></a>
<h2>Known limitations:</h2>
<ul type="disc">
<li>The implementation assumes a linear memory address model.</li>
<li>Tuning was focussed on dense matrices.</li>
</ul>
<h2>Further Information</h2>
<h3>Project Location and Download</h3>
<p>The latest stable release of uBLAS is part of the <a href="http://www.boost.org">Boost</a> libraries.</p>
<h3>Documentation and Discussion</h3>
<p>Visit the <a href="http://www.crystalclearsoftware.com/cgi-bin/boost_wiki/wiki.pl?Effective_UBLAS">Effective
uBLAS</a> wiki for up to date information and contributions.</p>
<p>There is also an active uBLAS <a href="http://lists.boost.org/">mailing list</a> where uBLAS specific user and
development questions are answered.</p>
<h3>uBLAS and Boost Project</h3>
<p>There is also an active uBLAS <a href="http://lists.boost.org/">mailing list</a> where uBLAS specific from the
latest uBLAS project code. You can <a href="http://cvs.sourceforge.net/cgi-bin/viewcvs.cgi/boost">view</a> the Boost
CVS archive directly. You will find the library <a href=
"http://cvs.sourceforge.net/cgi-bin/viewcvs.cgi/boost/boost/boost/numeric/ublas/">here</a>. Documentation and test
programs reside <a href="http://cvs.sourceforge.net/cgi-bin/viewcvs.cgi/boost/boost/libs/numeric/ublas/">here</a>.</p>
<h2>Authors and Credits</h2>
<p>uBLAS initially was written by Joerg Walter and Mathias Koch. We would like to thank all, which supported and
contributed to the development of this library: David Abrahams, Ed Brey, Fernando Cacciola, Juan Jose Gomez Cadenas,
Beman Dawes, Matt Davies, Bob Fletcher, Kresimir Fresl, Joachim Kessel, Patrick Kowalzick, Toon Knapen, Hendrik Kueck,
John Maddock, Jens Maurer, Alexei Novakov, Gary Powell, Joachim Pyras, Peter Schmitteckert, Jeremy Siek, Markus Steffl,
Michael Stevens, Benedikt Weber, Martin Weiser, Gunter Winkler, Marc Zimmermann, Marco Guazzone, Nasos Iliopoulus, the members of <a href="http://www.boost.org">Boost</a> and all others contributors around the world. I promise I will try to add their names to this list.</p>
<p>
This library is currently maintained by <a="mailto:david.bellot@gmail.com">David Bellot</a>.
<h2>Frequently Asked Questions</h2>
<p>Q: Should I use uBLAS for new projects?<br/>
A: At the time of writing (09/2012) there are a lot of good matrix libraries available, e.g.,
<a href="http://www.simunova.com" target="_blank">MTL4</a>,
<a href="http://arma.sourceforge.net" target="_blank">armadillo</a>,
<a href="http://eigen.tuxfamily.org" target="_blank">eigen</a>. uBLAS offers a stable, well tested set of vector and
matrix classes, the typical operations for linear algebra and solvers for triangular systems of equations. uBLAS offers
dense, structured and sparse matrices - all using similar interfaces. And finally uBLAS offers good (but not outstanding)
performance. On the other side, the last major improvement of uBLAS was in 2008 and no significant change was committed
since 2009. So one should ask himself some questions to aid the decision: <i>Availability?</i> uBLAS is part of boost
and thus available in many environments. <i>Easy to use?</i> uBLAS is easy to use for simple things, but needs decent
C++ knowledge when you leave the path. <i>Performance?</i> There are faster alternatives. <i>Cutting edge?</i> uBLAS
is more than 10 years old and missed all new stuff from C++11. </p>
<p>Q: I'm running the uBLAS dense vector and matrix benchmarks. Why do I see a significant performance difference
between the native C and library implementations?<br />
A: uBLAS distinguishes debug mode (size and type conformance checks enabled, expression templates disabled) and release
mode (size and type conformance checks disabled, expression templates enabled). Please check, if the preprocessor
symbol <code>NDEBUG</code> of <code>cassert</code> is defined. <code>NDEBUG</code> enables release mode, which in turn
uses expression templates. You can optionally define <code>BOOST_UBLAS_NDEBUG</code> to disable all bounds, structure
and similar checks of uBLAS.</p>
<p>Q: I've written some uBLAS tests, which try to incorrectly assign different matrix types or overrun vector and
matrix dimensions. Why don't I get a compile time or runtime diagnostic?<br />
A: uBLAS distinguishes debug mode (size and type conformance checks enabled, expression templates disabled) and release
mode (size and type conformance checks disabled, expression templates enabled). Please check, if the preprocessor
symbol <code>NDEBUG</code> of <code>cassert</code> is defined. <code>NDEBUG</code> disables debug mode, which is needed
to get size and type conformance checks.</p>
<p>Q: I've written some uBLAS benchmarks to measure the performance of matrix chain multiplications like <code>prod (A,
prod (B, C))</code> and see a significant performance penalty due to the use of expression templates. How can I disable
expression templates?<br />
A: You do not need to disable expression templates. Please try reintroducing temporaries using either <code>prod
(A,</code> <code><em>matrix_type</em></code> <code>(prod (B, C)))</code> or <code>prod (A,
prod&lt;</code><code><em>matrix_type</em></code> <code>&gt; (B, C))</code>.</p>
<hr />
<p>Copyright (&copy;) 2000-2011 Joerg Walter, Mathias Koch, Gunter Winkler, David Bellot<br />
Use, modification and distribution are subject to the Boost Software License, Version 1.0. (See accompanying file
LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">http://www.boost.org/LICENSE_1_0.txt</a>
).</p>
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<h1><img src="../../../../boost.png" align="middle" />Matrix</h1>
<div class="toc" id="toc"></div>
<h2><a name="matrix"></a>Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>matrix&lt;T, F, A&gt;</code> is the
base container adaptor for dense matrices. For a <em>(m x
n</em>)-dimensional matrix and <em>0 &lt;= i &lt; m</em>, <em>0
&lt;= j &lt; n</em> every element <em>m</em><sub><em>i,
j</em></sub> is mapped to the <em>(i x n + j)-</em>th element of
the container for row major orientation or the <em>(i + j x
m)-</em>th element of the container for column major
orientation.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
matrix&lt;double&gt; m (3, 3);
for (unsigned i = 0; i &lt; m.size1 (); ++ i)
for (unsigned j = 0; j &lt; m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header matrix.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the storage organization. <a href=
"#matrix_1">[1]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the <a href="storage_concept.html">Storage</a> array. <a href="#matrix_2">[2]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;matrix&lt;T, F, A&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>matrix ()</code></td>
<td>Allocates an uninitialized <code>matrix</code> that holds zero
rows of zero elements.</td>
</tr>
<tr>
<td><code>matrix (size_type size1, size_type size2)</code></td>
<td>Allocates an uninitialized <code>matrix</code> that holds
<code>size1</code> rows of <code>size2</code> elements.</td>
</tr>
<tr>
<td><code>matrix (const matrix &amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
matrix (const matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool
preserve = true)</code></td>
<td>Reallocates a <code>matrix</code> to hold <code>size1</code>
rows of <code>size2</code> elements. The existing elements of the
<code>matrix</code> are preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const array_type&amp; data () const</code></td>
<td></td>
</tr>
<tr>
<td><code>array_type&amp; data ()</code></td>
<td></td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>matrix &amp;operator = (const matrix &amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>matrix &amp;assign_temporary (matrix &amp;m)</code></td>
<td>Assigns a temporary. May change the matrix <code>m</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
matrix &amp;operator = (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the matrix. Left and right hand
side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
matrix &amp;operator += (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
matrix &amp;plus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a matrix expression to the matrix. Left and right hand
side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
matrix &amp;operator -= (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
matrix &amp;minus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a matrix expression from the matrix. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the matrix with a
scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the matrix through a
scalar.</td>
</tr>
<tr>
<td><code>void swap (matrix &amp;m)</code></td>
<td>Swaps the contents of the matrices.</td>
</tr>
<tr>
<td><code>void insert_element (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th element of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="matrix_1">[1]</a> Supported parameters
for the storage organization are <code>row_major</code> and
<code>column_major</code>.</p>
<p><a name="matrix_2">[2]</a> Common parameters
for the storage array are <code>unbounded_array&lt;T&gt;</code> ,
<code>bounded_array&lt;T&gt;</code> and
<code>std::vector&lt;T&gt;</code> .</p>
<h2><a name="identity_matrix"></a>Identity Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>identity_matrix&lt;T, ALLOC&gt;</code>
represents identity matrices. For a <em>(m x n</em>)-dimensional
identity matrix and <em>0 &lt;= i &lt; m</em>, <em>0 &lt;= j &lt;
n</em> holds <em>id</em><sub><em>i, j</em></sub> <em>= 0</em>, if
<em>i &lt;&gt; j</em>, and <em>id</em><sub><em>i, i</em></sub><em>=
1</em>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
identity_matrix&lt;double&gt; m (3);
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header matrix.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td><code>int</code></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator for size_type and difference_type.</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of
<a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;identity_matrix&lt;T&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>identity_matrix ()</code></td>
<td>Constructs an <code>identity_matrix</code> that holds zero rows
of zero elements.</td>
</tr>
<tr>
<td><code>identity_matrix (size_type size)</code></td>
<td>Constructs an <code>identity_matrix</code> that holds
<code>size</code> rows of <code>size</code> elements.</td>
</tr>
<tr>
<td><code>identity_matrix (const identity_matrix
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool preserve =
true)</code></td>
<td>Resizes a <code>identity_matrix</code> to hold
<code>size</code> rows of <code>size</code> elements. Therefore the
existing elements of the <code>itendity_matrix</code> are always
preseved.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns the value of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>identity_matrix &amp;operator = (const identity_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>identity_matrix &amp;assign_temporary (identity_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the identity matrix
<code>m</code> .</td>
</tr>
<tr>
<td><code>void swap (identity_matrix &amp;m)</code></td>
<td>Swaps the contents of the identity matrices.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>identity_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>identity_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>identity_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>identity_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>identity_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>identity_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>identity_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>identity_matrix</code>.</td>
</tr>
</tbody>
</table>
<h2><a name="zero_matrix"></a>Zero Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>zero_matrix&lt;T, ALLOC&gt;</code> represents
zero matrices. For a <em>(m x n</em>)-dimensional zero matrix and
<em>0 &lt;= i &lt; m</em>, <em>0 &lt;= j &lt; n</em> holds
<em>z</em><sub><em>i, j</em></sub> <em>= 0</em>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
zero_matrix&lt;double&gt; m (3, 3);
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header matrix.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td><code>int</code></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator for size_type and difference_type.</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of
<a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;zero_matrix&lt;T&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>zero_matrix ()</code></td>
<td>Constructs a <code>zero_matrix</code> that holds zero rows of
zero elements.</td>
</tr>
<tr>
<td><code>zero_matrix (size_type size1, size_type
size2)</code></td>
<td>Constructs a <code>zero_matrix</code> that holds
<code>size1</code> rows of <code>size2</code> elements.</td>
</tr>
<tr>
<td><code>zero_matrix (const zero_matrix &amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool
preserve = true)</code></td>
<td>Resizes a <code>zero_matrix</code> to hold <code>size1</code>
rows of <code>size2</code> elements. Therefore the existing
elements of the <code>zero_matrix</code> are always preseved.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns the value of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>zero_matrix &amp;operator = (const zero_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>zero_matrix &amp;assign_temporary (zero_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the zero matrix <code>m</code>
.</td>
</tr>
<tr>
<td><code>void swap (zero_matrix &amp;m)</code></td>
<td>Swaps the contents of the zero matrices.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>zero_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>zero_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>zero_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>zero_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>zero_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>zero_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>zero_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>zero_matrix</code>.</td>
</tr>
</tbody>
</table>
<h2><a name="scalar_matrix"></a>Scalar Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>scalar_matrix&lt;T, ALLOC&gt;</code>
represents scalar matrices. For a <em>(m x n</em>)-dimensional
scalar matrix and <em>0 &lt;= i &lt; m</em>, <em>0 &lt;= j &lt;
n</em> holds <em>z</em><sub><em>i, j</em></sub> <em>= s</em>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
scalar_matrix&lt;double&gt; m (3, 3);
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header matrix.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td><code>int</code></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator for size_type and difference_type.</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of
<a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;scalar_matrix&lt;T&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>scalar_matrix ()</code></td>
<td>Constructs a <code>scalar_matrix</code> that holds scalar rows
of zero elements.</td>
</tr>
<tr>
<td><code>scalar_matrix (size_type size1, size_type size2, const
value_type &amp;value)</code></td>
<td>Constructs a <code>scalar_matrix</code> that holds
<code>size1</code> rows of <code>size2</code> elements each of the
specified value.</td>
</tr>
<tr>
<td><code>scalar_matrix (const scalar_matrix &amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool
preserve = true)</code></td>
<td>Resizes a <code>scalar_matrix</code> to hold <code>size1</code>
rows of <code>size2</code> elements. Therefore the existing
elements of the <code>scalar_matrix</code> are always
preseved.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns the value of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>scalar_matrix &amp;operator = (const scalar_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>scalar_matrix &amp;assign_temporary (scalar_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the scalar matrix
<code>m</code> .</td>
</tr>
<tr>
<td><code>void swap (scalar_matrix &amp;m)</code></td>
<td>Swaps the contents of the scalar matrices.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>scalar_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>scalar_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>scalar_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>scalar_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>scalar_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>scalar_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>scalar_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>scalar_matrix</code>.</td>
</tr>
</tbody>
</table>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" />Sparse Matricies</h1>
<div class="toc" id="toc"></div>
<h2><a name="mapped_matrix"></a>Mapped Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>mapped_matrix&lt;T, F, A&gt;</code> is
the base container adaptor for sparse matricies using element maps.
For a <em>(m xn</em>)-dimensional sparse matrix and <em>0 &lt;= i &lt; m</em>,
<em>0 &lt;= j &lt; n</em> the non-zero elements
<em>m</em><sub><em>i, j</em></sub> are mapped via <em>(i x n +
j)</em> for row major orientation or via <em>(i + j x m)</em> for
column major orientation to consecutive elements of the associative
container, i.e. for elements <em>k</em> =
<em>m</em><sub><em>i</em></sub><sub><sub><em>1</em></sub></sub><sub>
<em>,j</em></sub><sub><sub><em>1</em></sub></sub>and <em>k + 1 =
m</em><sub><em>i</em></sub><sub><sub><em>2</em></sub></sub><sub><em>
,j</em></sub><sub><sub><em>2</em></sub></sub>of the container holds
<em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub> or <em>(i</em><sub><em>1</em></sub>
<em>= i</em><sub><em>2</em></sub> and
<em>j</em><sub><em>1</em></sub> <em>&lt;
j</em><sub><em>2</em></sub><em>)</em> with row major orientation or
<em>j</em><sub><em>1</em></sub> <em>&lt;
j</em><sub><em>2</em></sub> or <em>(j</em><sub><em>1</em></sub>
<em>= j</em><sub><em>2</em></sub> and
<em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub><em>)</em> with column major
orientation.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix_sparse.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
mapped_matrix&lt;double&gt; m (3, 3, 3 * 3);
for (unsigned i = 0; i &lt; m.size1 (); ++ i)
for (unsigned j = 0; j &lt; m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header matrix_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the mapped matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the storage organization. <a href=
"#mapped_matrix_1">[1]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a href=
"#mapped_matrix_2">[2]</a></td>
<td><code>map_std&lt;std::size_t, T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;mapped_matrix&lt;T, F, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>mapped_matrix ()</code></td>
<td>Allocates a <code>mapped_matrix</code> that holds at most zero
rows of zero elements.</td>
</tr>
<tr>
<td><code>mapped_matrix (size_type size1, size_type2, size_type non_zeros = 0)</code></td>
<td>Allocates a <code>mapped_matrix</code> that holds at most
<code>size1</code> rows of <code>size2</code> elements.</td>
</tr>
<tr>
<td><code>mapped_matrix (const mapped_matrix &amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_matrix (size_type non_zeros, const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool preserve = true)</code></td>
<td>Reallocates a <code>mapped_matrix</code> to hold at most
<code>size1</code> rows of <code>size2</code> elements. The
existing elements of the <code>mapped_matrix</code> are preseved
when specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns the value of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>mapped_matrix &amp;operator = (const mapped_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>mapped_matrix &amp;assign_temporary (mapped_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the mapped matrix
<code>m</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_matrix &amp;operator = (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the mapped matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_matrix &amp;operator += (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the mapped matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_matrix &amp;plus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a matrix expression to the mapped matrix. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_matrix &amp;operator -= (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the mapped matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_matrix &amp;minus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a matrix expression from the mapped matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
mapped_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the mapped matrix
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
mapped_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the mapped matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (mapped_matrix &amp;m)</code></td>
<td>Swaps the contents of the mapped matrices.</td>
</tr>
<tr>
<td><code>true_refrence insert_element (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th element of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the mapped matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>mapped_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="mapped_matrix_1">[1]</a> Supported
parameters for the storage organization are <code>row_major</code>
and <code>column_major</code>.</p>
<p><a name="mapped_matrix_2">[2]</a> Supported
parameters for the adapted array are
<code>map_array&lt;std::size_t, T&gt;</code> and
<code>map_std&lt;std::size_t, T&gt;</code>. The latter is
equivalent to <code>std::map&lt;std::size_t, T&gt;</code>.</p>
<h2><a name="compressed_matrix"></a>Compressed Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>compressed_matrix&lt;T, F, IB, IA,
TA&gt;</code> is the base container adaptor for compressed
matrices. For a <em>(m x n</em> )-dimensional compressed matrix and
<em>0 &lt;= i &lt; m</em>, <em>0 &lt;= j &lt; n</em> the non-zero
elements <em>m</em><sub><em>i, j</em></sub> are mapped via <em>(i x
n + j)</em> for row major orientation or via <em>(i + j x m)</em>
for column major orientation to consecutive elements of the index
and value containers, i.e. for elements <em>k</em> =
<em>m</em><sub><em>i</em></sub><sub><sub><em>1</em></sub></sub><sub>
<em>,j</em></sub><sub><sub><em>1</em></sub></sub>and <em>k + 1 =
m</em><sub><em>i</em></sub><sub><sub><em>2</em></sub></sub><sub><em>
,j</em></sub><sub><sub><em>2</em></sub></sub>of the container holds
<em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub> or <em>(i</em><sub><em>1</em></sub>
<em>= i</em><sub><em>2</em></sub> and
<em>j</em><sub><em>1</em></sub> <em>&lt;
j</em><sub><em>2</em></sub><em>)</em> with row major orientation or
<em>j</em><sub><em>1</em></sub> <em>&lt;
j</em><sub><em>2</em></sub> or <em>(j</em><sub><em>1</em></sub>
<em>= j</em><sub><em>2</em></sub> and
<em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub><em>)</em> with column major
orientation.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix_sparse.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
compressed_matrix&lt;double&gt; m (3, 3, 3 * 3);
for (unsigned i = 0; i &lt; m.size1 (); ++ i)
for (unsigned j = 0; j &lt; m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header matrix_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the compressed matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the storage organization. <a href=
"#compressed_matrix_1">[1]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>IB</code></td>
<td>The index base of the compressed vector. <a href=
"#compressed_matrix_2">[2]</a></td>
<td><code>0</code></td>
</tr>
<tr>
<td><code>IA</code></td>
<td>The type of the adapted array for indices. <a href=
"#compressed_matrix_3">[3]</a></td>
<td><code>unbounded_array&lt;std::size_t&gt;</code></td>
</tr>
<tr>
<td><code>TA</code></td>
<td>The type of the adapted array for values. <a href=
"#compressed_matrix_3">[3]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;compressed_matrix&lt;T, F, IB, IA,
TA&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>compressed_matrix ()</code></td>
<td>Allocates a <code>compressed_matrix</code> that holds at most
zero rows of zero elements.</td>
</tr>
<tr>
<td><code>compressed_matrix (size_type size1, size_type2, size_type non_zeros = 0)</code></td>
<td>Allocates a <code>compressed_matrix</code> that holds at most
<code>size1</code> rows of <code>size2</code> elements.</td>
</tr>
<tr>
<td><code>compressed_matrix (const compressed_matrix
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_matrix (size_type non_zeros, const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool preserve = true)</code></td>
<td>Reallocates a <code>compressed_matrix</code> to hold at most
<code>size1</code> rows of <code>size2</code> elements. The
existing elements of the <code>compressed_matrix</code> are
preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns the value of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>compressed_matrix &amp;operator = (const
compressed_matrix &amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>compressed_matrix &amp;assign_temporary
(compressed_matrix &amp;m)</code></td>
<td>Assigns a temporary. May change the compressed matrix
<code>m</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_matrix &amp;operator = (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the compressed matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_matrix &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the compressed matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_matrix &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the compressed matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_matrix &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the compressed matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_matrix &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the compressed matrix. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
compressed_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the compressed
matrix with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
compressed_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the compressed matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (compressed_matrix &amp;m)</code></td>
<td>Swaps the contents of the compressed matrices.</td>
</tr>
<tr>
<td><code>true_reference insert_element (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th element of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the compressed matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>compressed_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>compressed_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="compressed_matrix_1">[1]</a>
Supported parameters for the storage organization are
<code>row_major</code> and <code>column_major</code>.</p>
<p><a name="compressed_matrix_2">[2]</a>
Supported parameters for the index base are <code>0</code> and
<code>1</code> at least.</p>
<p><a name="compressed_matrix_3">[3]</a>
Supported parameters for the adapted array are
<code>unbounded_array&lt;&gt;</code> ,
<code>bounded_array&lt;&gt;</code> and
<code>std::vector&lt;&gt;</code> .</p>
<h2><a name="coordinate_matrix"></a>Coordinate Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>coordinate_matrix&lt;T, F, IB, IA,
TA&gt;</code> is the base container adaptor for compressed
matrices. For a <em>(m x n</em> )-dimensional sorted coordinate
matrix and <em>0 &lt;= i &lt; m</em>, <em>0 &lt;= j &lt; n</em> the
non-zero elements <em>m</em><sub><em>i, j</em></sub> are mapped via
<em>(i x n + j)</em> for row major orientation or via <em>(i + j x
m)</em> for column major orientation to consecutive elements of the
index and value containers, i.e. for elements <em>k</em> =
<em>m</em><sub><em>i</em></sub><sub><sub><em>1</em></sub></sub><sub>
<em>,j</em></sub><sub><sub><em>1</em></sub></sub>and <em>k + 1 =
m</em><sub><em>i</em></sub><sub><sub><em>2</em></sub></sub><sub><em>
,j</em></sub><sub><sub><em>2</em></sub></sub>of the container holds
<em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub> or <em>(i</em><sub><em>1</em></sub>
<em>= i</em><sub><em>2</em></sub> and
<em>j</em><sub><em>1</em></sub> <em>&lt;
j</em><sub><em>2</em></sub><em>)</em> with row major orientation or
<em>j</em><sub><em>1</em></sub> <em>&lt;
j</em><sub><em>2</em></sub> or <em>(j</em><sub><em>1</em></sub>
<em>= j</em><sub><em>2</em></sub> and
<em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub><em>)</em> with column major
orientation.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix_sparse.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
coordinate_matrix&lt;double&gt; m (3, 3, 3 * 3);
for (unsigned i = 0; i &lt; m.size1 (); ++ i)
for (unsigned j = 0; j &lt; m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout &lt;&lt; m &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header matrix_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the coordinate matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the storage organization. <a href=
"#coordinate_matrix_1">[1]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>IB</code></td>
<td>The index base of the coordinate vector. <a href=
"#coordinate_matrix_2">[2]</a></td>
<td><code>0</code></td>
</tr>
<tr>
<td><code>IA</code></td>
<td>The type of the adapted array for indices. <a href=
"#coordinate_matrix_3">[3]</a></td>
<td><code>unbounded_array&lt;std::size_t&gt;</code></td>
</tr>
<tr>
<td><code>TA</code></td>
<td>The type of the adapted array for values. <a href=
"#coordinate_matrix_3">[3]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;coordinate_matrix&lt;T, F, IB, IA,
TA&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>coordinate_matrix ()</code></td>
<td>Allocates a <code>coordinate_matrix</code> that holds at most
zero rows of zero elements.</td>
</tr>
<tr>
<td><code>coordinate_matrix (size_type size1, size_type2, size_type non_zeros = 0)</code></td>
<td>Allocates a <code>coordinate_matrix</code> that holds at most
<code>size1</code> rows of <code>size2</code> elements.</td>
</tr>
<tr>
<td><code>coordinate_matrix (const coordinate_matrix
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_matrix (size_type non_zeros, const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool preserve = true)</code></td>
<td>Reallocates a <code>coordinate_matrix</code> to hold at most
<code>size1</code> rows of <code>size2</code> elements. The
existing elements of the <code>coordinate_matrix</code> are
preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns the value of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>coordinate_matrix &amp;operator = (const
coordinate_matrix &amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>coordinate_matrix &amp;assign_temporary
(coordinate_matrix &amp;m)</code></td>
<td>Assigns a temporary. May change the coordinate matrix
<code>m</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_matrix &amp;operator = (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the coordinate matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_matrix &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the coordinate matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_matrix &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the coordinate matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_matrix &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the coordinate matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_matrix &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the coordinate matrix. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
coordinate_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the coordinate
matrix with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
coordinate_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the coordinate matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (coordinate_matrix &amp;m)</code></td>
<td>Swaps the contents of the coordinate matrices.</td>
</tr>
<tr>
<td><code>true_reference insert_element (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void append_element (size_type i, size_type j, const_reference t)</code></td>
<td>Appends the value <code>t</code> at the <code>j</code>-th element of the <code>i</code>-th row.
Duplicate elements can be appended to a <code>coordinate_matrix</code>. They are merged into a single
arithmetically summed element by the <code>sort</code> function.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th element of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the coordinate matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>coordinate_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>coordinate_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="coordinate_matrix_1">[1]</a>
Supported parameters for the storage organization are
<code>row_major</code> and <code>column_major</code>.</p>
<p><a name="coordinate_matrix_2">[2]</a>
Supported parameters for the index base are <code>0</code> and
<code>1</code> at least.</p>
<p><a name="coordinate_matrix_3">[3]</a>
Supported parameters for the adapted array are
<code>unbounded_array&lt;&gt;</code> ,
<code>bounded_array&lt;&gt;</code> and
<code>std::vector&lt;&gt;</code> .</p>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" />Overview of Matrix and Vector Operations</h1>
<div class="toc" id="toc"></div>
<dl>
<dt>Contents:</dt>
<dd><a href="#blas">Basic Linear Algebra</a></dd>
<dd><a href="#advanced">Advanced Functions</a></dd>
<dd><a href="#sub">Submatrices, Subvectors</a></dd>
<dd><a href="#speed">Speed Improvements</a></dd>
</dl>
<h2>Definitions</h2>
<table style="" summary="notation">
<tr><td><code>A, B, C</code></td>
<td> are matrices</td></tr>
<tr><td><code>u, v, w</code></td>
<td>are vectors</td></tr>
<tr><td><code>i, j, k</code></td>
<td>are integer values</td></tr>
<tr><td><code>t, t1, t2</code></td>
<td>are scalar values</td></tr>
<tr><td><code>r, r1, r2</code></td>
<td>are <a href="range.html">ranges</a>, e.g. <code>range(0, 3)</code></td></tr>
<tr><td><code>s, s1, s2</code></td>
<td>are <a href="range.html#slice">slices</a>, e.g. <code>slice(0, 1, 3)</code></td></tr>
</table>
<h2><a name="blas">Basic Linear Algebra</a></h2>
<h3>standard operations: addition, subtraction, multiplication by a
scalar</h3>
<pre><code>
C = A + B; C = A - B; C = -A;
w = u + v; w = u - v; w = -u;
C = t * A; C = A * t; C = A / t;
w = t * u; w = u * t; w = u / t;
</code></pre>
<h3>computed assignments</h3>
<pre><code>
C += A; C -= A;
w += u; w -= u;
C *= t; C /= t;
w *= t; w /= t;
</code></pre>
<h3>inner, outer and other products</h3>
<pre><code>
t = inner_prod(u, v);
C = outer_prod(u, v);
w = prod(A, u); w = prod(u, A); w = prec_prod(A, u); w = prec_prod(u, A);
C = prod(A, B); C = prec_prod(A, B);
w = element_prod(u, v); w = element_div(u, v);
C = element_prod(A, B); C = element_div(A, B);
</code></pre>
<h3>transformations</h3>
<pre><code>
w = conj(u); w = real(u); w = imag(u);
C = trans(A); C = conj(A); C = herm(A); C = real(A); C = imag(A);
</code></pre>
<h2><a name="advanced">Advanced functions</a></h2>
<h3>norms</h3>
<pre><code>
t = norm_inf(v); i = index_norm_inf(v);
t = norm_1(v); t = norm_2(v);
t = norm_inf(A); i = index_norm_inf(A);
t = norm_1(A); t = norm_frobenius(A);
</code></pre>
<h3>products</h3>
<pre><code>
axpy_prod(A, u, w, true); // w = A * u
axpy_prod(A, u, w, false); // w += A * u
axpy_prod(u, A, w, true); // w = trans(A) * u
axpy_prod(u, A, w, false); // w += trans(A) * u
axpy_prod(A, B, C, true); // C = A * B
axpy_prod(A, B, C, false); // C += A * B
</code></pre>
<p><em>Note:</em> The last argument (<code>bool init</code>) of
<code>axpy_prod</code> is optional. Currently it defaults to
<code>true</code>, but this may change in the future. Setting the
<code>init</code> to <code>true</code> is equivalent to calling
<code>w.clear()</code> before <code>axpy_prod</code>.
There are some specialisation for products of compressed matrices that give a
large speed up compared to <code>prod</code>.</p>
<pre><code>
w = block_prod&lt;matrix_type, 64&gt; (A, u); // w = A * u
w = block_prod&lt;matrix_type, 64&gt; (u, A); // w = trans(A) * u
C = block_prod&lt;matrix_type, 64&gt; (A, B); // C = A * B
</code></pre>
<p><em>Note:</em> The blocksize can be any integer. However, the
actual speed depends very significantly on the combination of blocksize,
CPU and compiler. The function <code>block_prod</code> is designed
for large dense matrices.</p>
<h3>rank-k updates</h3>
<pre><code>
opb_prod(A, B, C, true); // C = A * B
opb_prod(A, B, C, false); // C += A * B
</code></pre>
<p><em>Note:</em> The last argument (<code>bool init</code>) of
<code>opb_prod</code> is optional. Currently it defaults to
<code>true</code>, but this may change in the future. This function
may give a speedup if <code>A</code> has less columns than rows,
because the product is computed as a sum of outer products.</p>
<h2><a name="sub">Submatrices, Subvectors</a></h2>
<p>Accessing submatrices and subvectors via <b>proxies</b> using <code>project</code> functions:</p>
<pre><code>
w = project(u, r); // the subvector of u specifed by the index range r
w = project(u, s); // the subvector of u specifed by the index slice s
C = project(A, r1, r2); // the submatrix of A specified by the two index ranges r1 and r2
C = project(A, s1, s2); // the submatrix of A specified by the two index slices s1 and s2
w = row(A, i); w = column(A, j); // a row or column of matrix as a vector
</code></pre>
<p>Assigning to submatrices and subvectors via <b>proxies</b> using <code>project</code> functions:</p>
<pre><code>
project(u, r) = w; // assign the subvector of u specifed by the index range r
project(u, s) = w; // assign the subvector of u specifed by the index slice s
project(A, r1, r2) = C; // assign the submatrix of A specified by the two index ranges r1 and r2
project(A, s1, s2) = C; // assign the submatrix of A specified by the two index slices s1 and s2
row(A, i) = w; column(A, j) = w; // a row or column of matrix as a vector
</code></pre>
<p><em>Note:</em> A range <code>r = range(start, stop)</code>
contains all indices <code>i</code> with <code>start &lt;= i &lt;
stop</code>. A slice is something more general. The slice
<code>s = slice(start, stride, size)</code> contains the indices
<code>start, start+stride, ..., start+(size-1)*stride</code>. The
stride can be 0 or negative! If <code>start >= stop</code> for a range
or <code>size == 0</code> for a slice then it contains no elements.</p>
<p>Sub-ranges and sub-slices of vectors and matrices can be created directly with the <code>subrange</code> and <code>sublice</code> functions:</p>
<pre><code>
w = subrange(u, 0, 2); // the 2 element subvector of u
w = subslice(u, 0, 1, 2); // the 2 element subvector of u
C = subrange(A, 0,2, 0,3); // the 2x3 element submatrix of A
C = subslice(A, 0,1,2, 0,1,3); // the 2x3 element submatrix of A
subrange(u, 0, 2) = w; // assign the 2 element subvector of u
subslice(u, 0, 1, 2) = w; // assign the 2 element subvector of u
subrange(A, 0,2, 0,3) = C; // assign the 2x3 element submatrix of A
subrange(A, 0,1,2, 0,1,3) = C; // assigne the 2x3 element submatrix of A
</code></pre>
<p>There are to more ways to access some matrix elements as a
vector:</p>
<pre><code>matrix_vector_range&lt;matrix_type&gt; (A, r1, r2);
matrix_vector_slice&lt;matrix_type&gt; (A, s1, s2);
</code></pre>
<p><em>Note:</em> These matrix proxies take a sequence of elements
of a matrix and allow you to access these as a vector. In
particular <code>matrix_vector_slice</code> can do this in a very
general way. <code>matrix_vector_range</code> is less useful as the
elements must lie along a diagonal.</p>
<p><em>Example:</em> To access the first two elements of a sub
column of a matrix we access the row with a slice with stride 1 and
the column with a slice with stride 0 thus:<br />
<code>matrix_vector_slice&lt;matrix_type&gt; (A, slice(0,1,2),
slice(0,0,2));
</code></p>
<h2><a name="speed">Speed improvements</a></h2>
<h3><a name='noalias'>Matrix / Vector assignment</a></h3>
<p>If you know for sure that the left hand expression and the right
hand expression have no common storage, then assignment has
no <em>aliasing</em>. A more efficient assignment can be specified
in this case:</p>
<pre><code>noalias(C) = prod(A, B);
</code></pre>
<p>This avoids the creation of a temporary matrix that is required in a normal assignment.
'noalias' assignment requires that the left and right hand side be size conformant.</p>
<h3>Sparse element access</h3>
<p>The matrix element access function <code>A(i1,i2)</code> or the equivalent vector
element access functions (<code>v(i) or v[i]</code>) usually create 'sparse element proxies'
when applied to a sparse matrix or vector. These <em>proxies</em> allow access to elements
without having to worry about nasty C++ issues where references are invalidated.</p>
<p>These 'sparse element proxies' can be implemented more efficiently when applied to <code>const</code>
objects.
Sadly in C++ there is no way to distinguish between an element access on the left and right hand side of
an assignment. Most often elements on the right hand side will not be changed and therefore it would
be better to use the <code>const</code> proxies. We can do this by making the matrix or vector
<code>const</code> before accessing it's elements. For example:</p>
<pre><code>value = const_cast&lt;const VEC&gt;(v)[i]; // VEC is the type of V
</code></pre>
<p>If more then one element needs to be accessed <code>const_iterator</code>'s should be used
in preference to <code>iterator</code>'s for the same reason. For the more daring 'sparse element proxies'
can be completely turned off in uBLAS by defining the configuration macro <code>BOOST_UBLAS_NO_ELEMENT_PROXIES</code>.
</p>
<h3>Controlling the complexity of nested products</h3>
<p>What is the complexity (the number of add and multiply operations) required to compute the following?
</p>
<pre>
R = prod(A, prod(B,C));
</pre>
<p>Firstly the complexity depends on matrix size. Also since prod is transitive (not commutative)
the bracket order affects the complexity.
</p>
<p>uBLAS evaluates expressions without matrix or vector temporaries and honours
the bracketing structure. However avoiding temporaries for nested product unnecessarly increases the complexity.
Conversly by explictly using temporary matrices the complexity of a nested product can be reduced.
</p>
<p>uBLAS provides 3 alternative syntaxes for this purpose:
</p>
<pre>
temp_type T = prod(B,C); R = prod(A,T); // Preferable if T is preallocated
</pre>
<pre>
prod(A, temp_type(prod(B,C));
</pre>
<pre>
prod(A, prod&lt;temp_type&gt;(B,C));
</pre>
<p>The 'temp_type' is important. Given A,B,C are all of the same type. Say
matrix&lt;float&gt;, the choice is easy. However if the value_type is mixed (int with float or double)
or the matrix type is mixed (sparse with symmetric) the best solution is not so obvious. It is up to you! It
depends on numerical properties of A and the result of the prod(B,C).
</p>
<hr />
<p>Copyright (&copy;) 2000-2007 Joerg Walter, Mathias Koch, Gunter
Winkler, Michael Stevens<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
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<h1><img src="../../../../boost.png" align="middle" alt="logo"/>Boost Basic Linear Algebra - Configuration Options</h1>
<div class="toc" id="toc"></div>
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<h2>NDEBUG</h2>
<p><strong>Make sure you define NDEBUG</strong> The only way uBLAS
knows you want a release configuration is to check if you have defined
NDEBUG. If you don't it assumes you want a debug configuration and
adds a lot of very useful runtime check. However these are very slow!
</p>
<h2>BOOST_UBLAS_MOVE_SEMANTICS</h2>
<p class="credit">The patch and description was provided by Nasos Iliopoulos.</p>
<p>An immediate effect of this option is the elimination of the need
for noalias in types <tt>vector&lt;T&gt;</tt> and <tt>matrix&lt;T&gt;</tt>,
when assigned to the same type. This option doesn't have an effect on
bounded and c types. Although it is rare, not all compilers support copy
elision (that allows for move semantics), so a test must be performed to
make sure that there is a benefit when it is enabled. A small
demonstration and test can be found in
<a href="../test/manual/test_move_semantics.cpp"><tt>test_move_semantics.cpp</tt></a></p>
<p>
In the <a href="../test/manual/test_move_semantics.cpp">test
example</a> two tests are defined, one for vectors and one for
matrices. The aim of this example is to print the pointers of the
storage of each of the containers, before and after the assignment to
a temporary object. When move semantics are enabled, the
<tt>vector&lt;T&gt;</tt> and <tt>matrix&lt;T&gt;</tt> storage is moved
from the temporary and no copy is performed.
</p>
<p>
If move semantics are supported by your compiler you will get an output like the following:
</p>
<pre class="screen">
matrix&lt;double&gt; --------------------------------------------------------------------
Temporary pointer r: 0x94790c0
Pointer (must be equal to temp. pointer if move semantics are enabled) : 0x94790c0
</pre>
<p>Notes:</p>
<ul>
<li>It should be no surprise to see matrices and vectors been passed
by VALUE, the compiler takes care and either moves (if the underlying
code does not modify the object), or copies (if the underlying code
modifies the object).
</li>
<li>There might be some space for some improvements (like clearing the
data, before swaping)
</li>
<li>Move semantics don't eliminate temporaries. They rather move their
storage around so no copies are performed.
</li>
<li>MSVC does no implement Named Return Value Optimization in debug
mode. So if you build in debug with this compiler you might get <a
href="https://connect.microsoft.com/VisualStudio/feedback/ViewFeedback.aspx?FeedbackID=483229"
target="_blank">different behaviour</a> than a release build.
</li>
<li>Enabling move semantics is done via #define BOOST_UBLAS_MOVE_SEMANTICS.
</li>
<li>There is plenty of room for optimizations when c++0x standard is
out, taking advantage of rvalue references. (I have a sweet vector
implementation using that).
</li>
<li>If you enable move semantics and your compiler does not support
them, the operation will just be as passing by const reference.
</li>
</ul>
<p>Interesting links</p>
<ul>
<li> <a href="http://cpp-next.com/archive/2009/08/want-speed-pass-by-value/" target="_blank">Want Speed? Pass by Value.</a>
</li>
<li> <a href="http://blogs.msdn.com/vcblog/archive/2009/02/03/rvalue-references-c-0x-features-in-vc10-part-2.aspx" target="_blank">Rvalue References: C++0x Features in VC10, Part 2</a>
</li>
<li> <a href="http://cpp-next.com/archive/2009/09/move-it-with-rvalue-references/" target="_blank">Move It With Rvalue References</a>
</li>
</ul>
<h2>BOOST_UBLAS_CHECK_ENABLE</h2>
<p>When BOOST_UBLAS_CHECK_ENABLE is defined then all index and
parameter checks are enabled. This is enabled in debug mode and
disabled in release mode.
</p>
<h2>BOOST_UBLAS_TYPE_CHECK</h2>
<p>When BOOST_UBLAS_TYPE_CHECK is enabled then all possibly expensive
structure checks are enabled. If this is not desireable then use
<tt>#define BOOST_UBLAS_TYPE_CHECK 0</tt> before including any uBLAS
header. The define BOOST_UBLAS_TYPE_CHECK_EPSILON can be used to
control the acceptable tolerance, see
<tt>detail/matrix_assign.hpp</tt> for implementation details of this
check.
</p>
<h2>BOOST_UBLAS_USE_LONG_DOUBLE</h2>
<p>Enable uBLAS expressions that involve containers of 'long double'</p>
<h2>BOOST_UBLAS_USE_INTERVAL</h2>
<p>Enable uBLAS expressions that involve containers of 'boost::numeric::interval' types</p>
<h2>Configuring uBLAS with Macros</h2>
<p>Many macro's appear in ublas/config.hpp and elsewhere. Hopefully in the future some of these will disappear!
They fall into 4 groups:
</p>
<ul>
<li> Automatically set by 'boost/numeric/ublas/config.hpp' based on
NDEBUG. Makes the distinction between debug (safe) and release (fast)
mode. Similar to STLport
<ul>
<li> <i>Release</i> mode (NDEBUG defined)
<ul>
<li> BOOST_UBLAS_INLINE <i>Compiler dependant definition to control
function inlining.</i> </li><li> BOOST_UBLAS_USE_FAST_SAME </li></ul>
</li><li> <i>Debug</i> mode
<ul>
<li> BOOST_UBLAS_CHECK_ENABLE <i>Enable checking of indexs, iterators
and parameters. Prevents out of bound access etc.</i> </li><li>
BOOST_UBLAS_TYPE_CHECK <i>Enable additional checks for the results of
expressions using non dense types. Picks up runtime error such as the
assignment of a numerically non-symmetric matrix to
symmertic_matrix. Use <tt>#define BOOST_UBLAS_TYPE_CHECK 0</tt> to
disable expensive numeric type checks.</i> (Note: "structure check"
would be a much better name.) </li><li>
BOOST_UBLAS_TYPE_CHECK_EPSILON <i>default: sqrt(epsilon), controls how
large the difference between the expected result and the computed
result may become. Increase this value if you are going to use near
singular or badly scaled matrices. Please, refer to
<tt>detail/matrix_assign.hpp</tt> for implementation of these type
checks.</i> </li></ul> </li></ul>
</li>
<li> Automatically set by 'boost/numeric/ublas/config.hpp' based on
compiler and boost/config.hpp macro's. Augments the compiler
deficiency workarounds already supplied by boost/config.hpp
<ul>
<li> BOOST_UBLAS_NO_NESTED_CLASS_RELATION <i>A particularly nasty
problem with VC7.1 Requires that uBLAS and the user use begin(it)
rather then it.begin()</i> </li><li> BOOST_UBLAS_NO_SMART_PROXIES
<i>Disable the automatic propagation of 'constantness' to
proxies. Smart proxies automatically determine if the underling
container they reference is constant or not. They adjust there
definition of iterators and container access to reflect this
constantness.</i> </li></ul>
</li>
<li> For use by uBLAS authors to test implementation methods. Preset
in config.hpp
<ul>
<li> BOOST_UBLAS_USE_INVARIANT_HOISTING </li><li>
BOOST_UBLAS_USE_INDEXING </li><li> BOOST_UBLAS_USE_INDEXED_ITERATOR
</li><li> BOOST_UBLAS_NON_CONFORMANT_PROXIES <i>Gappy containers may
be non-conformant, that is contain elements at different
indices. Assigning between proxies (vector ranges for example) of
these containers is difficult as the LHS may need insert new
elements. This is slow.</i> </li><li> BOOST_UBLAS_USE_DUFF_DEVICE
<i>Near useless on all platforms (see GCC's -funroll-loops)</i>
</li></ul>
</li>
<li> User options. Can be predefined by user before including any
uBLAS headers. They may also be automatically defined for some
compilers to work around compile bugs.
<ul>
<li> BOOST_UBLAS_USE_LONG_DOUBLE <i>Enable uBLAS expressions that
involve containers of 'long double'</i> </li><li>
BOOST_UBLAS_USE_INTERVAL <i>Enable uBLAS expressions that involve
containers of 'boost::numeric::interval' types</i> </li><li>
BOOST_UBLAS_SIMPLE_ET_DEBUG <i>In order to simplify debugging is is
possible to simplify expression templateso they are restricted to a
single operation</i>
</li><li> BOOST_UBLAS_ENABLE_PROXY_SHORTCUTS <i> enable automatic
conversion from proxy class to matrix expression </i> </li><li>
BOOST_UBLAS_NO_ELEMENT_PROXIES <i>Disables the use of element proxies
for gappy types.</i> </li><li> <i>The Gappy types (sparse, coordinate,
compressed) store non-zero elements in their own containers. When new
non-zero elements are assigned they must rearrange these
containers. This invalidates references, iterators or pointers to
these elements. This can happen at some surprising times such as the
expression "a [1] = a [0] = 1;". Element proxies guarantee all such
expressions will work as expected. However they bring their own
restrictions and efficiency problems. For example as of Boost 1.30.0
they prevent the assignment of elements between different types.</i>
</li>
<li> BOOST_UBLAS_REFERENCE_CONST_MEMBER <i>Enable to allow refernces
to be returned to fixed (zero or one) elements of triangular or banded
matrices</i>
</li><li> BOOST_UBLAS_NO_EXCEPTIONS <i>Disable the use exceptions of
uBLAS internal checks and error conditions. BOOST_NO_EXCEPTIONS has
same effect.</i>
</li>
<li> BOOST_UBLAS_SINGULAR_CHECK <i>Check the for singularity in triangular solve() functions</i></li>
</ul>
</li>
</ul>
<hr />
<div id="copyright">
<p>Copyright (&copy;) 2000-2009 Joerg Walter, Mathias Koch, Gunter Winkler<br />
Use, modification and distribution are subject to the Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h2><a name="rationale">Rationale</h2>
<p><cite>It would be nice if every kind of numeric software could
be written in C++ without loss of efficiency, but unless something
can be found that achieves this without compromising the C++ type
system it may be preferable to rely on Fortran, assembler or
architecture-specific extensions (Bjarne Stroustrup).</cite></p>
<p>This C++ library is directed towards scientific computing on the
level of basic linear algebra constructions with matrices and
vectors and their corresponding abstract operations. The primary
design goals were:</p>
<ul type="disc">
<li>mathematical notation</li>
<li>efficiency</li>
<li>functionality</li>
<li>compatibility</li>
</ul>
<p>Another intention was to evaluate, if the abstraction penalty
resulting from the use of such matrix and vector classes is
acceptable.</p>
<h2>Resources</h2>
<p>The development of this library was guided by a couple of
similar efforts:</p>
<ul type="disc">
<li><a href="http://www.netlib.org/blas/index.html">BLAS</a> by
Jack Dongarra et al.</li>
<li><a href="http://www.oonumerics.org/blitz/">Blitz++</a> by Todd
Veldhuizen</li>
<li><a href="http://acts.nersc.gov/pooma/">POOMA</a> by Scott
Haney et al.</li>
<li><a href="http://www.lsc.nd.edu/research/mtl/">MTL</a> by Jeremy
Siek et al.</li>
</ul>
<p>BLAS seems to be the most widely used library for basic linear
algebra constructions, so it could be called a de-facto standard.
Its interface is procedural, the individual functions are somewhat
abstracted from simple linear algebra operations. Due to the fact
that is has been implemented using Fortran and its optimizations,
it also seems to be one of the fastest libraries available. As we
decided to design and implement our library in an object-oriented
way, the technical approaches are distinct. However anyone should
be able to express BLAS abstractions in terms of our library
operators and to compare the efficiency of the implementations.</p>
<p>Blitz++ is an impressive library implemented in C++. Its main
design seems to be oriented towards multidimensional arrays and
their associated operators including tensors. The author of Blitz++
states, that the library achieves performance on par or better than
corresponding Fortran code due to his implementation technique
using expression templates and template metaprograms. However we
see some reasons, to develop an own design and implementation
approach. We do not know whether anybody tries to implement
traditional linear algebra and other numerical algorithms using
Blitz++. We also presume that even today Blitz++ needs the most
advanced C++ compiler technology due to its implementation idioms.
On the other hand, Blitz++ convinced us, that the use of expression
templates is mandatory to reduce the abstraction penalty to an
acceptable limit.</p>
<p>POOMA's design goals seem to parallel Blitz++'s in many parts .
It extends Blitz++'s concepts with classes from the domains of
partial differential equations and theoretical physics. The
implementation supports even parallel architectures.</p>
<p>MTL is another approach supporting basic linear algebra
operations in C++. Its design mainly seems to be influenced by BLAS
and the C++ Standard Template Library. We share the insight that a
linear algebra library has to provide functionality comparable to
BLAS. On the other hand we think, that the concepts of the C++
standard library have not yet been proven to support numerical
computations as needed. As another difference MTL currently does
not seem to use expression templates. This may result in one of two
consequences: a possible loss of expressiveness or a possible loss
of performance.</p>
<h2>Concepts</h2>
<h3>Mathematical Notation</h3>
<p>The usage of mathematical notation may ease the development of
scientific algorithms. So a C++ library implementing basic linear
algebra concepts carefully should overload selected C++ operators
on matrix and vector classes.</p>
<p>We decided to use operator overloading for the following
primitives:</p>
<table border="1" summary="operators">
<tbody>
<tr>
<th align="left">Description</th>
<th align="left">Operator</th>
</tr>
<tr>
<td>Indexing of vectors and matrices</td>
<td><code>vector::operator(size_t i);<br />
matrix::operator(size_t i, size_t j);</code></td>
</tr>
<tr>
<td>Assignment of vectors and matrices</td>
<td><code>vector::operator = (const vector_expression &amp;);<br />
vector::operator += (const vector_expression &amp;);<br />
vector::operator -= (const vector_expression &amp;);<br />
vector::operator *= (const scalar_expression &amp;);<br />
matrix::operator = (const matrix_expression &amp;);<br />
matrix::operator += (const matrix_expression &amp;);<br />
matrix::operator -= (const matrix_expression &amp;);<br />
matrix::operator *= (const scalar_expression &amp;);</code></td>
</tr>
<tr>
<td>Unary operations on vectors and matrices</td>
<td><code>vector_expression operator - (const vector_expression
&amp;);<br />
matrix_expression operator - (const matrix_expression
&amp;);</code></td>
</tr>
<tr>
<td>Binary operations on vectors and matrices</td>
<td><code>vector_expression operator + (const vector_expression
&amp;, const vector_expression &amp;);<br />
vector_expression operator - (const vector_expression &amp;, const
vector_expression &amp;);<br />
matrix_expression operator + (const matrix_expression &amp;, const
matrix_expression &amp;);<br />
matrix_expression operator - (const matrix_expression &amp;, const
matrix_expression &amp;);</code></td>
</tr>
<tr>
<td>Multiplication of vectors and matrices with a scalar</td>
<td><code>vector_expression operator * (const scalar_expression
&amp;, const vector_expression &amp;);<br />
vector_expression operator * (const vector_expression &amp;, const
scalar_expression &amp;);<br />
matrix_expression operator * (const scalar_expression &amp;, const
matrix_expression &amp;);<br />
matrix_expression operator * (const matrix_expression &amp;, const
scalar_expression &amp;);</code></td>
</tr>
</tbody>
</table>
<p>We decided to use no operator overloading for the following
other primitives:</p>
<table border="1" summary="functions">
<tbody>
<tr>
<th align="left">Description</th>
<th align="left">Function</th>
</tr>
<tr>
<td>Left multiplication of vectors with a matrix</td>
<td><code>vector_expression
prod&lt;</code><code><em>vector_type</em></code> <code>&gt; (const
matrix_expression &amp;, const vector_expression &amp;);<br />
vector_expression prod (const matrix_expression &amp;, const
vector_expression &amp;);</code></td>
</tr>
<tr>
<td>Right multiplication of vectors with a matrix</td>
<td><code>vector_expression
prod&lt;</code><code><em>vector_type</em></code> <code>&gt; (const
vector_expression &amp;, const matrix_expression &amp;);<br />
vector_expression prod (const vector_expression &amp;, const
matrix_expression &amp;);<br /></code></td>
</tr>
<tr>
<td>Multiplication of matrices</td>
<td><code>matrix_expression
prod&lt;</code><code><em>matrix_type</em></code> <code>&gt; (const
matrix_expression &amp;, const matrix_expression &amp;);<br />
matrix_expression prod (const matrix_expression &amp;, const
matrix_expression &amp;);</code></td>
</tr>
<tr>
<td>Inner product of vectors</td>
<td><code>scalar_expression inner_prod (const vector_expression
&amp;, const vector_expression &amp;);</code></td>
</tr>
<tr>
<td>Outer product of vectors</td>
<td><code>matrix_expression outer_prod (const vector_expression
&amp;, const vector_expression &amp;);</code></td>
</tr>
<tr>
<td>Transpose of a matrix</td>
<td><code>matrix_expression trans (const matrix_expression
&amp;);</code></td>
</tr>
</tbody>
</table>
<h3>Efficiency</h3>
<p>To achieve the goal of efficiency for numerical computing, one
has to overcome two difficulties in formulating abstractions with
C++, namely temporaries and virtual function calls. Expression
templates solve these problems, but tend to slow down compilation
times.</p>
<h4>Eliminating Temporaries</h4>
<p>Abstract formulas on vectors and matrices normally compose a
couple of unary and binary operations. The conventional way of
evaluating such a formula is first to evaluate every leaf operation
of a composition into a temporary and next to evaluate the
composite resulting in another temporary. This method is expensive
in terms of time especially for small and space especially for
large vectors and matrices. The approach to solve this problem is
to use lazy evaluation as known from modern functional programming
languages. The principle of this approach is to evaluate a complex
expression element wise and to assign it directly to the
target.</p>
<p>Two interesting and dangerous facts result:</p>
<h4>Aliases</h4>
<p>One may get serious side effects using element wise
evaluation on vectors or matrices. Consider the matrix vector
product <em>x = A x</em>. Evaluation of
<em>A</em><sub><em>1</em></sub><em>x</em> and assignment to
<em>x</em><sub><em>1</em></sub> changes the right hand side, so
that the evaluation of <em>A</em><sub><em>2</em></sub><em>x</em>
returns a wrong result. In this case there are <strong>aliases</strong> of the elements
<em>x</em><sub><em>n</em></sub> on both the left and right hand side of the assignment.</p>
<p>Our solution for this problem is to
evaluate the right hand side of an assignment into a temporary and
then to assign this temporary to the left hand side. To allow
further optimizations, we provide a corresponding member function
for every assignment operator and also a
<a href="operations_overview.html#noalias"> <code>noalias</code> syntax.</a>
By using this syntax a programmer can confirm, that the left and right hand sides of an
assignment are independent, so that element wise evaluation and
direct assignment to the target is safe.</p>
<h4>Complexity</h4>
<p>The computational complexity may be unexpectedly large under certain
cirumstances. Consider the chained matrix vector product <em>A (B
x)</em>. Conventional evaluation of <em>A (B x)</em> is quadratic.
Deferred evaluation of <em>B x</em><sub><em>i</em></sub> is linear.
As every element <em>B x</em><sub><em>i</em></sub> is needed
linearly depending of the size, a completely deferred evaluation of
the chained matrix vector product <em>A (B x)</em> is cubic. In
such cases one needs to reintroduce temporaries in the
expression.</p>
<h4>Eliminating Virtual Function Calls</h4>
<p>Lazy expression evaluation normally leads to the definition of a
class hierarchy of terms. This results in the usage of dynamic
polymorphism to access single elements of vectors and matrices,
which is also known to be expensive in terms of time. A solution
was found a couple of years ago independently by David Vandervoorde
and Todd Veldhuizen and is commonly called expression templates.
Expression templates contain lazy evaluation and replace dynamic
polymorphism with static, i.e. compile time polymorphism.
Expression templates heavily depend on the famous Barton-Nackman
trick, also coined 'curiously defined recursive templates' by Jim
Coplien.</p>
<p>Expression templates form the base of our implementation.</p>
<h4>Compilation times</h4>
<p>It is also a well known fact, that expression templates
challenge currently available compilers. We were able to
significantly reduce the amount of needed expression templates
using the Barton-Nackman trick consequently.</p>
<p>We also decided to support a dual conventional implementation
(i.e. not using expression templates) with extensive bounds and
type checking of vector and matrix operations to support the
development cycle. Switching from debug mode to release mode is
controlled by the <code>NDEBUG</code> preprocessor symbol of
<code>&lt;cassert&gt;</code>.</p>
<h2><a name="functionality">Functionality</h2>
<p>Every C++ library supporting linear algebra will be measured
against the long-standing Fortran package BLAS. We now describe how
BLAS calls may be mapped onto our classes.</p>
<p>The page <a href="operations_overview.html">Overview of Matrix and Vector Operations</a>
gives a short summary of the most used operations on vectors and
matrices.</p>
<h4>Blas Level 1</h4>
<table border="1" summary="level 1 blas">
<tbody>
<tr>
<th align="left">BLAS Call</th>
<th align="left">Mapped Library Expression</th>
<th align="left">Mathematical Description</th>
<th align="left">Comment</th>
</tr>
<tr>
<td><code>sasum</code> OR <code>dasum</code></td>
<td><code>norm_1 (x)</code></td>
<td><em>sum |x<sub>i</sub>|</em></td>
<td>Computes the <em>l<sub>1</sub></em> (sum) norm of a real vector.</td>
</tr>
<tr>
<td><code>scasum</code> OR <code>dzasum</code></td>
<td><em><code>real (sum (v)) + imag (sum (v))</code></em></td>
<td><em>sum re(x<sub>i</sub>) + sum im(x<sub>i</sub>)</em></td>
<td>Computes the sum of elements of a complex vector.</td>
</tr>
<tr>
<td><code>_nrm2</code></td>
<td><code>norm_2 (x)</code></td>
<td><em>sqrt (sum
|x</em><sub><em>i</em></sub>|<sup><em>2</em></sup> <em>)</em></td>
<td>Computes the <em>l<sub>2</sub></em> (euclidean) norm of a vector.</td>
</tr>
<tr>
<td><code>i_amax</code></td>
<td><code>norm_inf (x)<br />
index_norm_inf (x)</code></td>
<td><em>max |x</em><sub><em>i</em></sub><em>|</em></td>
<td>Computes the <em>l<sub>inf</sub></em> (maximum) norm of a vector.<br />
BLAS computes the index of the first element having this
value.</td>
</tr>
<tr>
<td><code>_dot<br />
_dotu<br />
_dotc</code></td>
<td><code>inner_prod (x, y)</code>or<code><br />
inner_prod (conj (x), y)</code></td>
<td><em>x</em><sup><em>T</em></sup> <em>y</em> or<br />
<em>x</em><sup><em>H</em></sup> <em>y</em></td>
<td>Computes the inner product of two vectors.<br />
BLAS implements certain loop unrollment.</td>
</tr>
<tr>
<td><code>dsdot<br />
sdsdot</code></td>
<td><code>a + prec_inner_prod (x, y)</code></td>
<td><em>a + x</em><sup><em>T</em></sup> <em>y</em></td>
<td>Computes the inner product in double precision.</td>
</tr>
<tr>
<td><code>_copy</code></td>
<td><code>x = y<br />
y.assign (x)</code></td>
<td><em>x &lt;- y</em></td>
<td>Copies one vector to another.<br />
BLAS implements certain loop unrollment.</td>
</tr>
<tr>
<td><code>_swap</code></td>
<td><code>swap (x, y)</code></td>
<td><em>x &lt;-&gt; y</em></td>
<td>Swaps two vectors.<br />
BLAS implements certain loop unrollment.</td>
</tr>
<tr>
<td><code>_scal<br />
csscal<br />
zdscal</code></td>
<td><code>x *= a</code></td>
<td><em>x &lt;- a x</em></td>
<td>Scales a vector.<br />
BLAS implements certain loop unrollment.</td>
</tr>
<tr>
<td><code>_axpy</code></td>
<td><code>y += a * x</code></td>
<td><em>y &lt;- a x + y</em></td>
<td>Adds a scaled vector.<br />
BLAS implements certain loop unrollment.</td>
</tr>
<tr>
<td><code>_rot<br />
_rotm<br />
csrot<br />
zdrot</code></td>
<td><code>t.assign (a * x + b * y),<br />
y.assign (- b * x + a * y),<br />
x.assign (t)</code></td>
<td><em>(x, y) &lt;- (a x + b y, -b x + a y)</em></td>
<td>Applies a plane rotation.</td>
</tr>
<tr>
<td><code>_rotg<br />
_rotmg</code></td>
<td>&nbsp;</td>
<td><em>(a, b) &lt;-<br />
&nbsp; (? a / sqrt (a</em><sup><em>2</em></sup> +
<em>b</em><sup><em>2</em></sup><em>),<br />
&nbsp; &nbsp; ? b / sqrt (a</em><sup><em>2</em></sup> +
<em>b</em><sup><em>2</em></sup><em>))</em> or<em><br />
(1, 0) &lt;- (0, 0)</em></td>
<td>Constructs a plane rotation.</td>
</tr>
</tbody>
</table>
<h4>Blas Level 2</h4>
<table border="1" summary="level 2 blas">
<tbody>
<tr>
<th align="left">BLAS Call</th>
<th align="left">Mapped Library Expression</th>
<th align="left">Mathematical Description</th>
<th align="left">Comment</th>
</tr>
<tr>
<td><code>_t_mv</code></td>
<td><code>x = prod (A, x)</code> or<code><br />
x = prod (trans (A), x)</code> or<code><br />
x = prod (herm (A), x)</code></td>
<td><em>x &lt;- A x</em> or<em><br />
x &lt;- A</em><sup><em>T</em></sup> <em>x</em> or<em><br />
x &lt;- A</em><sup><em>H</em></sup> <em>x</em></td>
<td>Computes the product of a matrix with a vector.</td>
</tr>
<tr>
<td><code>_t_sv</code></td>
<td><code>y = solve (A, x, tag)</code> or<br />
<code>inplace_solve (A, x, tag)</code> or<br />
<code>y = solve (trans (A), x, tag)</code> or<br />
<code>inplace_solve (trans (A), x, tag)</code> or<br />
<code>y = solve (herm (A), x, tag)</code>or<br />
<code>inplace_solve (herm (A), x, tag)</code></td>
<!-- TODO: replace nested sub/sup -->
<td><em>y &lt;- A</em><sup><em>-1</em></sup> <em>x</em>
or<em><br />
x &lt;- A</em><sup><em>-1</em></sup> <em>x</em> or<em><br />
y &lt;-
A</em><sup><em>T</em></sup><sup><sup><em>-1</em></sup></sup>
<em>x</em> or<em><br />
x &lt;-
A</em><sup><em>T</em></sup><sup><sup><em>-1</em></sup></sup>
<em>x</em> or<em><br />
y &lt;-
A</em><sup><em>H</em></sup><sup><sup><em>-1</em></sup></sup>
<em>x</em> or<em><br />
x &lt;-
A</em><sup><em>H</em></sup><sup><sup><em>-1</em></sup></sup>
<em>x</em></td>
<td>Solves a system of linear equations with triangular form, i.e.
<em>A</em> is triangular.</td>
</tr>
<tr>
<td><code>_g_mv<br />
_s_mv<br />
_h_mv</code></td>
<td><code>y = a * prod (A, x) + b * y</code> or<code><br />
y = a * prod (trans (A), x) + b * y</code> or<code><br />
y = a * prod (herm (A), x) + b * y</code></td>
<td><em>y &lt;- a A x + b y</em> or<em><br />
y &lt;- a A</em><sup><em>T</em></sup> <em>x + b y<br />
y &lt;- a A</em><sup><em>H</em></sup> <em>x + b y</em></td>
<td>Adds the scaled product of a matrix with a vector.</td>
</tr>
<tr>
<td><code>_g_r<br />
_g_ru<br />
_g_rc</code></td>
<td><code>A += a * outer_prod (x, y)</code> or<code><br />
A += a * outer_prod (x, conj (y))</code></td>
<td><em>A &lt;- a x y</em><sup><em>T</em></sup> <em>+ A</em>
or<em><br />
A &lt;- a x y</em><sup><em>H</em></sup> <em>+ A</em></td>
<td>Performs a rank <em>1</em> update.</td>
</tr>
<tr>
<td><code>_s_r<br />
_h_r</code></td>
<td><code>A += a * outer_prod (x, x)</code> or<code><br />
A += a * outer_prod (x, conj (x))</code></td>
<td><em>A &lt;- a x x</em><sup><em>T</em></sup> <em>+ A</em>
or<em><br />
A &lt;- a x x</em><sup><em>H</em></sup> <em>+ A</em></td>
<td>Performs a symmetric or hermitian rank <em>1</em> update.</td>
</tr>
<tr>
<td><code>_s_r2<br />
_h_r2</code></td>
<td><code>A += a * outer_prod (x, y) +<br />
&nbsp;a * outer_prod (y, x))</code> or<code><br />
A += a * outer_prod (x, conj (y)) +<br />
&nbsp;conj (a) * outer_prod (y, conj (x)))</code></td>
<td><em>A &lt;- a x y</em><sup><em>T</em></sup> <em>+ a y
x</em><sup><em>T</em></sup> <em>+ A</em> or<em><br />
A &lt;- a x y</em><sup><em>H</em></sup> <em>+
a</em><sup><em>-</em></sup> <em>y x</em><sup><em>H</em></sup> <em>+
A</em></td>
<td>Performs a symmetric or hermitian rank <em>2</em> update.</td>
</tr>
</tbody>
</table>
<h4>Blas Level 3</h4>
<table border="1" summary="level 3 blas">
<tbody>
<tr>
<th align="left">BLAS Call</th>
<th align="left">Mapped Library Expression</th>
<th align="left">Mathematical Description</th>
<th align="left">Comment</th>
</tr>
<tr>
<td><code>_t_mm</code></td>
<td><code>B = a * prod (A, B)</code> or<br />
<code>B = a * prod (trans (A), B)</code> or<br />
<code>B = a * prod (A, trans (B))</code> or<br />
<code>B = a * prod (trans (A), trans (B))</code> or<br />
<code>B = a * prod (herm (A), B)</code> or<br />
<code>B = a * prod (A, herm (B))</code> or<br />
<code>B = a * prod (herm (A), trans (B))</code> or<br />
<code>B = a * prod (trans (A), herm (B))</code> or<br />
<code>B = a * prod (herm (A), herm (B))</code></td>
<td><em>B &lt;- a op (A) op (B)</em> with<br />
&nbsp; <em>op (X) = X</em> or<br />
&nbsp; <em>op (X) = X</em><sup><em>T</em></sup> or<br />
&nbsp; <em>op (X) = X</em><sup><em>H</em></sup></td>
<td>Computes the scaled product of two matrices.</td>
</tr>
<tr>
<td><code>_t_sm</code></td>
<td><code>C = solve (A, B, tag)</code> or<br />
<code>inplace_solve (A, B, tag)</code> or<br />
<code>C = solve (trans (A), B, tag)</code> or<code><br />
inplace_solve (trans (A), B, tag)</code> or<code><br />
C = solve (herm (A), B, tag)</code> or<code><br />
inplace_solve (herm (A), B, tag)</code></td>
<td><em>C &lt;- A</em><sup><em>-1</em></sup> <em>B</em>
or<em><br />
B &lt;- A</em><sup><em>-1</em></sup> <em>B</em> or<em><br />
C &lt;-
A</em><sup><em>T</em></sup><sup><sup><em>-1</em></sup></sup>
<em>B</em> or<em><br />
B &lt;- A</em><sup><em>-1</em></sup> <em>B</em> or<em><br />
C &lt;-
A</em><sup><em>H</em></sup><sup><sup><em>-1</em></sup></sup>
<em>B</em> or<em><br />
B &lt;-
A</em><sup><em>H</em></sup><sup><sup><em>-1</em></sup></sup>
<em>B</em></td>
<td>Solves a system of linear equations with triangular form, i.e.
<em>A</em> is triangular.</td>
</tr>
<tr>
<td><code>_g_mm<br />
_s_mm<br />
_h_mm</code></td>
<td><code>C = a * prod (A, B) + b * C</code> or<br />
<code>C = a * prod (trans (A), B) + b * C</code> or<br />
<code>C = a * prod (A, trans (B)) + b * C</code> or<br />
<code>C = a * prod (trans (A), trans (B)) + b * C</code> or<br />
<code>C = a * prod (herm (A), B) + b * C</code> or<br />
<code>C = a * prod (A, herm (B)) + b * C</code> or<br />
<code>C = a * prod (herm (A), trans (B)) + b * C</code> or<br />
<code>C = a * prod (trans (A), herm (B)) + b * C</code> or<br />
<code>C = a * prod (herm (A), herm (B)) + b * C</code></td>
<td><em>C &lt;- a op (A) op (B) + b C</em> with<br />
&nbsp; <em>op (X) = X</em> or<br />
&nbsp; <em>op (X) = X</em><sup><em>T</em></sup> or<br />
&nbsp; <em>op (X) = X</em><sup><em>H</em></sup></td>
<td>Adds the scaled product of two matrices.</td>
</tr>
<tr>
<td><code>_s_rk<br />
_h_rk</code></td>
<td><code>B = a * prod (A, trans (A)) + b * B</code> or<br />
<code>B = a * prod (trans (A), A) + b * B</code> or<br />
<code>B = a * prod (A, herm (A)) + b * B</code> or<br />
<code>B = a * prod (herm (A), A) + b * B</code></td>
<td><em>B &lt;- a A A</em><sup><em>T</em></sup> <em>+ b B</em>
or<em><br />
B &lt;- a A</em><sup><em>T</em></sup> <em>A + b B</em> or<br />
<em>B &lt;- a A A</em><sup><em>H</em></sup> <em>+ b B</em>
or<em><br />
B &lt;- a A</em><sup><em>H</em></sup> <em>A + b B</em></td>
<td>Performs a symmetric or hermitian rank <em>k</em> update.</td>
</tr>
<tr>
<td><code>_s_r2k<br />
_h_r2k</code></td>
<td><code>C = a * prod (A, trans (B)) +<br />
&nbsp;a * prod (B, trans (A)) + b * C</code> or<br />
<code>C = a * prod (trans (A), B) +<br />
&nbsp;a * prod (trans (B), A) + b * C</code> or<br />
<code>C = a * prod (A, herm (B)) +<br />
&nbsp;conj (a) * prod (B, herm (A)) + b * C</code> or<br />
<code>C = a * prod (herm (A), B) +<br />
&nbsp;conj (a) * prod (herm (B), A) + b * C</code></td>
<td><em>C &lt;- a A B</em><sup><em>T</em></sup> <em>+ a B
A</em><sup><em>T</em></sup> <em>+ b C</em> or<em><br />
C &lt;- a A</em><sup><em>T</em></sup> <em>B + a
B</em><sup><em>T</em></sup> <em>A + b C</em> or<em><br />
C &lt;- a A B</em><sup><em>H</em></sup> <em>+
a</em><sup><em>-</em></sup> <em>B A</em><sup><em>H</em></sup> <em>+
b C</em> or<em><br />
C &lt;- a A</em><sup><em>H</em></sup> <em>B +
a</em><sup><em>-</em></sup> <em>B</em><sup><em>H</em></sup> <em>A +
b C</em></td>
<td>Performs a symmetric or hermitian rank <em>2 k</em>
update.</td>
</tr>
</tbody>
</table>
<h2>Storage Layout</h2>
<p>uBLAS supports many different storage layouts. The full details can be
found at the <a href="types_overview.html">Overview of Types</a>. Most types like
<code>vector&lt;double&gt;</code> and <code>matrix&lt;double&gt;</code> are
by default compatible to C arrays, but can also be configured to contain
FORTAN compatible data.
</p>
<h2>Compatibility</h2>
<p>For compatibility reasons we provide array like indexing for vectors and matrices. For some types (hermitian, sparse etc) this can be expensive for matrices due to the needed temporary proxy objects.</p>
<p>uBLAS uses STL compatible allocators for the allocation of the storage required for it's containers.</p>
<h2>Benchmark Results</h2>
<p>The following tables contain results of one of our benchmarks.
This benchmark compares a native C implementation ('C array') and
some library based implementations. The safe variants based on the
library assume aliasing, the fast variants do not use temporaries
and are functionally equivalent to the native C implementation.
Besides the generic vector and matrix classes the benchmark
utilizes special classes <code>c_vector</code> and
<code>c_matrix</code>, which are intended to avoid every overhead
through genericity.</p>
<p>The benchmark program <strong>bench1</strong> was compiled with GCC 4.0 and run on an Athlon 64 3000+. Times are scales for reasonable precision by running <strong>bench1 100</strong>.</p>
<p>First we comment the results for double vectors and matrices of dimension 3 and 3 x 3, respectively.</p>
<table border="1" summary="1st benchmark">
<tbody>
<tr>
<th align="left">Comment</th>
</tr>
<tr>
<td rowspan="3">inner_prod</td>
<td>C array</td>
<td align="right">0.61</td>
<td align="right">782</td>
<td rowspan="3">Some abstraction penalty</td>
</tr>
<tr>
<td>c_vector</td>
<td align="right">0.86</td>
<td align="right">554</td>
</tr>
<tr>
<td>vector&lt;unbounded_array&gt;</td>
<td align="right">1.02</td>
<td align="right">467</td>
</tr>
<tr>
<td rowspan="5">vector + vector</td>
<td>C array</td>
<td align="right">0.51</td>
<td align="right">1122</td>
<td rowspan="5">Abstraction penalty: factor 2</td>
</tr>
<tr>
<td>c_vector fast</td>
<td align="right">1.17</td>
<td align="right">489</td>
</tr>
<tr>
<td>vector&lt;unbounded_array&gt; fast</td>
<td align="right">1.32</td>
<td align="right">433</td>
</tr>
<tr>
<td>c_vector safe</td>
<td align="right">2.02</td>
<td align="right">283</td>
</tr>
<tr>
<td>vector&lt;unbounded_array&gt; safe</td>
<td align="right">6.95</td>
<td align="right">82</td>
</tr>
<tr>
<td rowspan="5">outer_prod</td>
<td>C array</td>
<td align="right">0.59</td>
<td align="right">872</td>
<td rowspan="5">Some abstraction penalty</td>
</tr>
<tr>
<td>c_matrix, c_vector fast</td>
<td align="right">0.88</td>
<td align="right">585</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt; fast</td>
<td align="right">0.90</td>
<td align="right">572</td>
</tr>
<tr>
<td>c_matrix, c_vector safe</td>
<td align="right">1.66</td>
<td align="right">310</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt; safe</td>
<td align="right">2.95</td>
<td align="right">175</td>
</tr>
<tr>
<td rowspan="5">prod (matrix, vector)</td>
<td>C array</td>
<td align="right">0.64</td>
<td align="right">671</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_matrix, c_vector fast</td>
<td align="right">0.70</td>
<td align="right">613</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt; fast</td>
<td align="right">0.79</td>
<td align="right">543</td>
</tr>
<tr>
<td>c_matrix, c_vector safe</td>
<td align="right">0.95</td>
<td align="right">452</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt; safe</td>
<td align="right">2.61</td>
<td align="right">164</td>
</tr>
<tr>
<td rowspan="5">matrix + matrix</td>
<td>C array</td>
<td align="right">0.75</td>
<td align="right">686</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_matrix fast</td>
<td align="right">0.99</td>
<td align="right">520</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; fast</td>
<td align="right">1.29</td>
<td align="right">399</td>
</tr>
<tr>
<td>c_matrix safe</td>
<td align="right">1.7</td>
<td align="right">303</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; safe</td>
<td align="right">3.14</td>
<td align="right">164</td>
</tr>
<tr>
<td rowspan="5">prod (matrix, matrix)</td>
<td>C array</td>
<td align="right">0.94</td>
<td align="right">457</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_matrix fast</td>
<td align="right">1.17</td>
<td align="right">367</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; fast</td>
<td align="right">1.34</td>
<td align="right">320</td>
</tr>
<tr>
<td>c_matrix safe</td>
<td align="right">1.56</td>
<td align="right">275</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; safe</td>
<td align="right">2.06</td>
<td align="right">208</td>
</tr>
</tbody>
</table>
<p>We notice a two fold performance loss for small vectors and matrices: first the general abstraction penalty for using classes, and then a small loss when using the generic vector and matrix classes. The difference w.r.t. alias assumptions is also significant.</p>
<p>Next we comment the results for double vectors and matrices of
dimension 100 and 100 x 100, respectively.</p>
<table border="1" summary="2nd benchmark">
<tbody>
<tr>
<th align="left">Operation</th>
<th align="left">Implementation</th>
<th align="left">Elapsed [s]</th>
<th align="left">MFLOP/s</th>
<th align="left">Comment</th>
</tr>
<tr>
<td rowspan="3">inner_prod</td>
<td>C array</td>
<td align="right">0.64</td>
<td align="right">889</td>
<td rowspan="3">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_vector</td>
<td align="right">0.66</td>
<td align="right">862</td>
</tr>
<tr>
<td>vector&lt;unbounded_array&gt;</td>
<td align="right">0.66</td>
<td align="right">862</td>
</tr>
<tr>
<td rowspan="5">vector + vector</td>
<td>C array</td>
<td align="right">0.64</td>
<td align="right">894</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_vector fast</td>
<td align="right">0.66</td>
<td align="right">867</td>
</tr>
<tr>
<td>vector&lt;unbounded_array&gt; fast</td>
<td align="right">0.66</td>
<td align="right">867</td>
</tr>
<tr>
<td>c_vector safe</td>
<td align="right">1.14</td>
<td align="right">501</td>
</tr>
<tr>
<td>vector&lt;unbounded_array&gt; safe</td>
<td align="right">1.23</td>
<td align="right">465</td>
</tr>
<tr>
<td rowspan="5">outer_prod</td>
<td>C array</td>
<td align="right">0.50</td>
<td align="right">1144</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_matrix, c_vector fast</td>
<td align="right">0.71</td>
<td align="right">806</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt; fast</td>
<td align="right">0.57</td>
<td align="right">1004</td>
</tr>
<tr>
<td>c_matrix, c_vector safe</td>
<td align="right">1.91</td>
<td align="right">300</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt; safe</td>
<td align="right">0.89</td>
<td align="right">643</td>
</tr>
<tr>
<td rowspan="5">prod (matrix, vector)</td>
<td>C array</td>
<td align="right">0.65</td>
<td align="right">876</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_matrix, c_vector fast</td>
<td align="right">0.65</td>
<td align="right">876</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt;
fast</td>
<td align="right">0.66</td>
<td align="right">863</td>
</tr>
<tr>
<td>c_matrix, c_vector safe</td>
<td align="right">0.66</td>
<td align="right">863</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt;, vector&lt;unbounded_array&gt;
safe</td>
<td align="right">0.66</td>
<td align="right">863</td>
</tr>
<tr>
<td rowspan="5">matrix + matrix</td>
<td>C array</td>
<td align="right">0.96</td>
<td align="right">596</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_matrix fast</td>
<td align="right">1.21</td>
<td align="right">473</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; fast</td>
<td align="right">1.00</td>
<td align="right">572</td>
</tr>
<tr>
<td>c_matrix safe</td>
<td align="right">2.44</td>
<td align="right">235</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; safe</td>
<td align="right">1.30</td>
<td align="right">440</td>
</tr>
<tr>
<td rowspan="5">prod (matrix, matrix)</td>
<td>C array</td>
<td align="right">0.70</td>
<td align="right">813</td>
<td rowspan="5">No significant abstraction penalty</td>
</tr>
<tr>
<td>c_matrix fast</td>
<td align="right">0.73</td>
<td align="right">780</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; fast</td>
<td align="right">0.76</td>
<td align="right">749</td>
</tr>
<tr>
<td>c_matrix safe</td>
<td align="right">0.75</td>
<td align="right">759</td>
</tr>
<tr>
<td>matrix&lt;unbounded_array&gt; safe</td>
<td align="right">0.76</td>
<td align="right">749</td>
</tr>
</tbody>
</table>
<p>For larger vectors and matrices the general abstraction penalty
for using classes seems to decrease, the small loss when using
generic vector and matrix classes seems to remain. The difference
w.r.t. alias assumptions remains visible, too.</p>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<title>Special Products</title>
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<h1><img src="../../../../boost.png" align="middle" />Special Products </h1>
<div class="toc" id="toc"></div>
<h2>Functions</h2>
<table summary="" border=0 cellpadding=0 cellspacing=0>
<tr>
<td class="memItemLeft" nowrap align=right valign=top>template&lt;class V, class E1, class E2&gt; BOOST_UBLAS_INLINE V &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga8">axpy_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const vector_expression&lt; E2 &gt; &amp;e2, V &amp;v, bool init=true)</td></tr>
<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>v += A x</code> or <code>v = A x</code> in an optimized fashion. <a href="#ga8"></a><br /><br /></td></tr>
<tr>
<td class="memItemLeft" nowrap align=right valign=top>template&lt;class V, class E1, class E2&gt; BOOST_UBLAS_INLINE V &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga9">axpy_prod</a> (const vector_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, V &amp;v, bool init=true)</td></tr>
<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>v += A<sup>T</sup> x</code> or <code>v = A<sup>T</sup> x</code> in an optimized fashion. <a href="#ga9"></a><br /><br /></td></tr>
<tr>
<td class="memItemLeft" nowrap align=right valign=top>template&lt;class M, class E1, class E2&gt; BOOST_UBLAS_INLINE M &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga7">axpy_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, M &amp;m, bool init=true)</td></tr>
<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion. <a href="#ga7"></a><br /><br /></td></tr>
<tr>
<td class="memItemLeft" nowrap align=right valign=top>template&lt;class M, class E1, class E2&gt; BOOST_UBLAS_INLINE M &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga6">opb_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, M &amp;m, bool init=true)</td></tr>
<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion. <a href="#ga6"></a><br /><br /></td></tr>
</table>
<hr />
<a class="anchor" name="ga8" doxytag="boost::numeric::ublas::axpy_prod" ></a>
<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE V&amp; axpy_prod </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">const matrix_expression&lt; E1 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const vector_expression&lt; E2 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>V &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>v</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>bool&nbsp;</td>
<td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
computes <code>v += A x</code> or <code>v = A x</code> in an optimized fashion.
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table summary="" border="0" cellspacing="2" cellpadding="0">
<tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
<tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the vector expression <code>x</code> </td></tr>
<tr><td></td><td valign=top><em>v</em>&nbsp;</td><td>the result vector <code>v</code> </td></tr>
<tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
</table>
</dl>
<code>axpy_prod(A, x, v, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>v.clear()</code> before <code>axpy_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
Up to now there are some specialisation for compressed matrices that give a large speed up compared to prod. </td>
</tr>
</table>
<a class="anchor" name="ga9" doxytag="boost::numeric::ublas::axpy_prod" ></a>
<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE V&amp; axpy_prod </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">const vector_expression&lt; E1 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const matrix_expression&lt; E2 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>V &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>v</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>bool&nbsp;</td>
<td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
computes <code>v += A<sup>T</sup> x</code> or <code>v = A<sup>T</sup> x</code> in an optimized fashion.
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table summary="" border="0" cellspacing="2" cellpadding="0">
<tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the vector expression <code>x</code> </td></tr>
<tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
<tr><td></td><td valign=top><em>v</em>&nbsp;</td><td>the result vector <code>v</code> </td></tr>
<tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
</table>
</dl>
<code>axpy_prod(x, A, v, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>v.clear()</code> before <code>axpy_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
Up to now there are some specialisation for compressed matrices that give a large speed up compared to prod. </td>
</tr>
</table>
<a class="anchor" name="ga7" doxytag="boost::numeric::ublas::axpy_prod" ></a>
<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE M&amp; axpy_prod </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">const matrix_expression&lt; E1 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const matrix_expression&lt; E2 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>M &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>bool&nbsp;</td>
<td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion.
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table summary="" border="0" cellspacing="2" cellpadding="0">
<tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
<tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the matrix expression <code>X</code> </td></tr>
<tr><td></td><td valign=top><em>m</em>&nbsp;</td><td>the result matrix <code>M</code> </td></tr>
<tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
</table>
</dl>
<code>axpy_prod(A, X, M, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>M.clear()</code> before <code>axpy_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
Up to now there are no specialisations. </td>
</tr>
</table>
<a class="anchor" name="ga6" doxytag="boost::numeric::ublas::opb_prod" ></a>
<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
<tr>
<td class="mdRow">
<table summary="" cellpadding="0" cellspacing="0" border="0">
<tr>
<td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE M&amp; opb_prod </td>
<td class="md" valign="top">(&nbsp;</td>
<td class="md" nowrap valign="top">const matrix_expression&lt; E1 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e1</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>const matrix_expression&lt; E2 &gt; &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>e2</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>M &amp;&nbsp;</td>
<td class="mdname" nowrap> <em>m</em>, </td>
</tr>
<tr>
<td class="md" nowrap align="right"></td>
<td></td>
<td class="md" nowrap>bool&nbsp;</td>
<td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
</tr>
<tr>
<td></td>
<td class="md">)&nbsp;</td>
<td class="md" colspan="2"></td>
</tr>
</table>
</td>
</tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
<tr>
<td>
&nbsp;
</td>
<td>
<p>
computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion.
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table summary="" border="0" cellspacing="2" cellpadding="0">
<tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
<tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the matrix expression <code>X</code> </td></tr>
<tr><td></td><td valign=top><em>m</em>&nbsp;</td><td>the result matrix <code>M</code> </td></tr>
<tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
</table>
</dl>
<code>opb_prod(A, X, M, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>M.clear()</code> before <code>opb_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
This function may give a speedup if <code>A</code> has less columns than rows, because the product is computed as a sum of outer products. </td>
</tr>
</table>
<hr />
<p>Copyright (&copy;) 2000-2004 Michael Stevens, Mathias Koch,
Joerg Walter, Gunter Winkler<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<title>Range and slice</title>
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<body>
<h1><img src="../../../../boost.png" align="middle" />Range and Slice Storage</h1>
<div class="toc" id="toc"></div>
<h2><a name="range"></a>Range&lt;SizeType,DistanceType&gt;</h2>
<h4>Description</h4>
<p>The class <code>range</code> specifies a range of indicies. The range is a sequence of indices
from a start value to stop value. The indices increase by one and exlude the stop value.
<code>range</code> can therefore be used to specify ranges of elements from vectors and matrices.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/storage.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
range r (0, 3);
for (unsigned i = 0; i &lt; r.size (); ++ i) {
std::cout &lt;&lt; r (i) &lt;&lt; std::endl;
}
}
</pre>
<h4>Definition</h4>
<p>Defined in the header storage.hpp.</p>
<h4>Model of</h4>
<p>Reversible Container.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of Reversible
Container.</p>
<h4>Public base classes</h4>
<p>None.</p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>range (size_type start, size_type stop)</code></td>
<td>Constructs a range of indicies from <code>start</code> to <code>stop (excluded)</code>
.</td>
</tr>
<tr>
<td><code>size_type start () const</code></td>
<td>Returns the beginning of the <code>range</code>.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>range</code>.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value <code>start + i</code> of the <code>i</code>
-th element.</td>
</tr>
<tr>
<td><code>range compose (const range &amp;r) const</code></td>
<td>Returns the composite range from <code>start + r.start
()</code> to <code>start + r.start () + r.size ()</code>.</td>
</tr>
<tr>
<td><code>bool operator == (const range &amp;r) const</code></td>
<td>Tests two ranges for equality.</td>
</tr>
<tr>
<td><code>bool operator != (const range &amp;r) const</code></td>
<td>Tests two ranges for inequality.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>range</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>range</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>range</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>range</code>.</td>
</tr>
</tbody>
</table>
<h4>Preconditions</h4>
<ul>
<li><code>start () &lt;= stop ()</code></li>
</ul>
<h2><a name="slice"></a>Slice&lt;SizeType,DistanceType&gt;</h2>
<h4>Description</h4>
<p>The class <code>slice</code> specifies a 'slice' of indicies. Slices are more general
then ranges, the stride allows the sequence of indicies to increase and decrease by the specified amount between element.
<code>slice</code> can therefore be used to specify slices of element from vectors and matrices.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/storage.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
slice s (0, 1, 3);
for (unsigned i = 0; i &lt; s.size (); ++ i) {
std::cout &lt;&lt; s (i) &lt;&lt; std::endl;
}
}
</pre>
<h4>Definition</h4>
<p>Defined in the header storage.hpp.</p>
<h4>Model of</h4>
<p>Reversible Container.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of Reversible
Container.</p>
<h4>Public base classes</h4>
<p>None.</p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>slice (size_type start, size_type stride, size_type
size)</code></td>
<td>Constructs a slice <code>start,start+stride,start+2*stride...</code> with
<code>size</code> elements.</td>
</tr>
<tr>
<td><code>size_type start () const</code></td>
<td>Returns the beginning of the <code>slice</code>.</td>
</tr>
<tr>
<td><code>size_type stride () const</code></td>
<td>Returns the stride of the <code>slice</code>.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>slice</code>.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value <code>start + i * stride</code> of the
<code>i</code>-th element.</td>
</tr>
<tr>
<td><code>slice compose (const range &amp;r) const</code></td>
<td>Returns the composite slice from <code>start + stride * r.start
()</code> to <code>start + stride * (r.start () + r.size ())</code>
with stride <code>stride</code>.</td>
</tr>
<tr>
<td><code>slice compose (const slice &amp;s) const</code></td>
<td>Returns the composite slice from <code>start + stride * s.start
()</code> to <code>start + stride * s.stride () * (s.start () +
s.size ())</code> with stride <code>stride * s.stride ()</code>
.</td>
</tr>
<tr>
<td><code>bool operator == (const slice &amp;s) const</code></td>
<td>Tests two slices for equality.</td>
</tr>
<tr>
<td><code>bool operator != (const slice &amp;s) const</code></td>
<td>Tests two slices for inequality.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>slice</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>slice</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>slice</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>slice</code>.</td>
</tr>
</tbody>
</table>
<h4>Preconditions</h4>
<ul>
<li>None all strides are vaild. However when an index is returned or an iterator is dereferenced its
value must be representable as the size_type.</li>
</ul>
<hr/>
<p>
Copyright (&copy;) 2000-2004 Michael Stevens, Mathias Koch,
Joerg Walter, Gunter Winkler<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<title>Boost Basic Linear Algebra - Release Notes</title>
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<h1><img src="../../../../boost.png" align="middle" alt="logo"/>Boost Basic Linear Algebra - Release Notes</h1>
<div class="navigation">
<a href="index.html">back to uBLAS home</a>
</div>
<div class="toc" id="toc"></div>
<h2>Release 1.52.0</h2>
<h3>improvements</h3>
<ul>
<li><a href="https://svn.boost.org/trac/boost/ticket/4024">[4024]</a> improve performance of inplace_solve</li>
<li><a href="https://svn.boost.org/trac/boost/ticket/6511">[6511]</a> Division by scalar should use enable_if&lt;&gt;</li>
<li><a href="https://svn.boost.org/trac/boost/ticket/7297">[7297]</a> Make the free functions 'num_columns' and 'num_rows' support the uBLAS traits system and better work with expression types</li>
</ul>
<h3>bug fixes</h3>
<ul>
<li><a href="https://svn.boost.org/trac/boost/ticket/7296">[7296]</a> fixes and improvements to test utility functions</li>
<li><a href="https://svn.boost.org/trac/boost/ticket/7363">[7363]</a> fixed coordinate_matrix::sort() for gcc 4.7 and others</li>
</ul>
<h2>Release 1.43.0</h2>
<h3>bug fixes</h3>
<ul>
<li><a href="https://svn.boost.org/trac/boost/ticket/3968">[3968]</a> fixed coordinate_matrix sort problem on MSVC10
</li>
<li><a href="https://svn.boost.org/trac/boost/ticket/3539">[3539]</a>
changed computation of <code>norm_inf</code> for complex types to match
mathematical definition. <br />
<b>Note:</b> This might cause a performance drop
because now <code>std::abs(z)</code> is called for each vector element.
The old implementation used <code>std::max(std::abs(real(z)),std::abs(imag(z))</code>.
Further <code>norm_inf</code> and <code>norm_1</code> will now return
the same values for complex vector.
</li>
<li><a href="https://svn.boost.org/trac/boost/ticket/3501">[3501]</a> Moved free functions in <code>concepts.hpp</code> into anonymous namespace.
</li>
</ul>
<h2>Release 1.41.1</h2>
<h3>new features</h3>
<ul>
<li>Move semantics of vector/matrix container assignments have been
implemented. They can be enabled by setting
BOOST_UBLAS_MOVE_SEMANTICS. More details are on the <a
href="options.html">preprocessor options page</a>.
</li>
<li>Introduce new free functions. See <a href="https://svn.boost.org/trac/boost/ticket/3449" target="_blank">[3449]</a>,
the new tests in <tt>libs/numeric/ublas/test</tt> and the inline documentation of the files in <tt>boost/numeric/ublas/operation/</tt>.
</li>
</ul>
<h3>bug fixes</h3>
<ul>
<li><a href="https://svn.boost.org/trac/boost/ticket/3293">[3293]</a> Fix resizing problem in <code>identity_matrix</code>
</li>
<li><a href="https://svn.boost.org/trac/boost/ticket/3499">[3499]</a> Add DefaultConstructible to concept checks
</li>
</ul>
<h2>Release 1.40.0 and before</h2>
<ul>
<li>Release notes were not available in this form.</li>
</ul>
<hr />
<p>Copyright (&copy;) 2000-2009 Joerg Walter, Mathias Koch, Gunter Winkler<br />
Use, modification and distribution are subject to the Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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# Copyright Michael Stevens 2004
# Use, modification, and distribution is subject to the Boost Software
# License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
# bring in rules for testing
# Boost uBLAS library documentation samples
# Project requirements
project samples
: requirements
<toolset>borland:<cxxflags>"-w-8026 -w-8027 -w-8057 -w-8084 -w-8092"
<toolset>kylix:<cxxflags>"-w-8026 -w-8027 -w-8057 -w-8084 -w-8092"
;
exe unbounded_array
: unbounded_array.cpp
;
exe bounded_array
: bounded_array.cpp
;
exe range
: range.cpp
;
exe slice
: slice.cpp
;
exe map_array
: map_array.cpp
;
exe vector
: vector.cpp
;
exe unit_vector
: unit_vector.cpp
;
exe zero_vector
: zero_vector.cpp
;
exe mapped_vector
: mapped_vector.cpp
;
exe compressed_vector
: compressed_vector.cpp
;
exe coordinate_vector
: coordinate_vector.cpp
;
exe vector_range
: vector_range.cpp
;
exe vector_range_project
: vector_range_project.cpp
;
exe vector_slice
: vector_slice.cpp
;
exe vector_slice_project
: vector_slice_project.cpp
;
exe vector_unary
: vector_unary.cpp
;
exe vector_binary
: vector_binary.cpp
;
exe vector_binary_outer
: vector_binary_outer.cpp
;
exe vector_binary_scalar
: vector_binary_scalar.cpp
;
exe vector_unary_redux
: vector_unary_redux.cpp
;
exe vector_binary_redux
: vector_binary_redux.cpp
;
exe matrix
: matrix.cpp
;
exe identity_matrix
: identity_matrix.cpp
;
exe zero_matrix
: zero_matrix.cpp
;
exe mapped_matrix
: mapped_matrix.cpp
;
exe compressed_matrix
: compressed_matrix.cpp
;
exe coordinate_matrix
: coordinate_matrix.cpp
;
exe matrix_row
: matrix_row.cpp
;
exe matrix_row_project
: matrix_row_project.cpp
;
exe matrix_column
: matrix_column.cpp
;
exe matrix_column_project
: matrix_column_project.cpp
;
exe matrix_vector_range
: matrix_vector_range.cpp
;
exe matrix_vector_slice
: matrix_vector_slice.cpp
;
exe matrix_range
: matrix_range.cpp
;
exe matrix_range_project
: matrix_range_project.cpp
;
exe matrix_slice
: matrix_slice.cpp
;
exe matrix_slice_project
: matrix_slice_project.cpp
;
exe matrix_unary
: matrix_unary.cpp
;
exe matrix_binary
: matrix_binary.cpp
: <include>$(BOOST_ROOT)
;
exe matrix_binary_scalar
: matrix_binary_scalar.cpp
;
exe matrix_vector_binary
: matrix_vector_binary.cpp
;
exe matrix_vector_solve
: matrix_vector_solve.cpp
;
exe matrix_matrix_binary
: matrix_matrix_binary.cpp
;
exe matrix_matrix_solve
: matrix_matrix_solve.cpp
;
exe banded_matrix
: banded_matrix.cpp
;
exe banded_adaptor
: banded_adaptor.cpp
;
exe hermitian_matrix
: hermitian_matrix.cpp
;
exe hermitian_adaptor
: hermitian_adaptor.cpp
;
exe symmetric_matrix
: symmetric_matrix.cpp
;
exe symmetric_adaptor
: symmetric_adaptor.cpp
;
exe triangular_matrix
: triangular_matrix.cpp
;
exe triangular_adaptor
: triangular_adaptor.cpp
;
exe ex_triangular
: ex_triangular.cpp
;
@@ -0,0 +1,319 @@
//
// Copyright (c) 2010 Athanasios Iliopoulos
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
#include <boost/numeric/ublas/assignment.hpp>
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/vector_proxy.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/vector_sparse.hpp>
#include <boost/numeric/ublas/matrix_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
#include <boost/numeric/ublas/matrix.hpp>
using namespace boost::numeric::ublas;
int main() {
// Simple vector fill
vector<double> a(3);
a <<= 0, 1, 2;
std::cout << a << std::endl;
// [ 0 1 2]
// Vector from vector
vector<double> b(7);
b <<= a, 10, a;
std::cout << b << std::endl;
// [ 0 1 2 10 0 1 2]
// Simple matrix fill
matrix<double> A(3,3);
A <<= 0, 1, 2,
3, 4, 5,
6, 7, 8;
std::cout << A << std::endl;
// [ 0 1 2 ]
// [ 3 4 5 ]
// [ 6 7 8 ]
// Matrix from vector
A <<= 0, 1, 2,
3, 4, 5,
a;
std::cout << A << std::endl;
// [ 0 1 2 ]
// [ 3 4 5 ]
// [ 0 1 2 ]
// Matrix from vector - column assignment
A <<= move(0,2), traverse_policy::by_column(),
a;
std::cout << A << std::endl;
// [ 0 1 0 ]
// [ 3 4 1 ]
// [ 0 1 2 ]
// Another matrix from vector example (watch the wraping);
vector<double> c(9); c <<= 1, 2, 3, 4, 5, 6, 7, 8, 9;
A <<= c;
std::cout << A << std::endl;
// [ 1 2 3 ]
// [ 4 5 6 ]
// [ 7 8 9 ]
// If for performance(Benchmarks are not definite about that) or consistency reasons you need to disable wraping:
static next_row_manip endr; //This can be defined globally
A <<= traverse_policy::by_row_no_wrap(),
1, 2, 3, endr,
4, 5, 6, endr,
7, 8, 9, endr;
// [ 1 2 3 ]
// [ 4 5 6 ]
// [ 7 8 9 ]
// If by default you need to disable wraping define
// BOOST_UBLAS_DEFAULT_NO_WRAP_POLICY, in the compilation options,
// so that you avoid typing the "traverse_policy::by_row_no_wrap()".
// Plus and minus assign:
A <<= fill_policy::index_plus_assign(),
3,2,1;
std::cout << A << std::endl;
// [ 4 4 4 ]
// [ 4 5 6 ]
// [ 7 8 9 ]
// Matrix from proxy
A <<= 0, 1, 2,
project(b, range(3,6)),
a;
std::cout << A << std::endl;
// [ 0 1 2 ]
// [10 0 1 ]
// [ 6 7 8 ]
// Matrix from matrix
matrix<double> B(6,6);
B <<= A, A,
A, A;
std::cout << B << std::endl;
// [ A A ]
// [ A A ]
// Matrix range (vector is similar)
B = zero_matrix<double>(6,6);
matrix_range<matrix<double> > mrB (B, range (1, 4), range (1, 4));
mrB <<= 1,2,3,4,5,6,7,8,9;
std::cout << B << std::endl;
// [ 0 0 0 0 0 0]
// [ 0 1 2 3 0 0]
// [ 0 4 5 6 0 0]
// [ 0 0 0 0 0 0]
// [ 0 0 0 0 0 0]
// [ 0 0 0 0 0 0]
// Horizontal concatenation can be achieved using this trick:
matrix<double> BH(3,9);
BH <<= A, A, A;
std::cout << BH << std::endl;
// [ A A A]
// Vertical concatenation can be achieved using this trick:
matrix<double> BV(9,3);
BV <<= A,
A,
A;
std::cout << BV << std::endl;
// [ A ]
// [ A ]
// [ A ]
// Watch the difference when assigning matrices for different traverse policies:
matrix<double> BR(9,9, 0);
BR <<= traverse_policy::by_row(), // This is the default, so this might as well be omitted.
A, A, A;
std::cout << BR << std::endl;
// [ A A A]
// [ 0 0 0]
// [ 0 0 0]
matrix<double> BC(9,9, 0);
BC <<= traverse_policy::by_column(),
A, A, A;
std::cout << BC << std::endl;
// [ A 0 0]
// [ A 0 0]
// [ A 0 0]
// The following will throw a run-time exception in debug mode (matrix mid-assignment wrap is not allowed) :
// matrix<double> C(7,7);
// C <<= A, A, A;
// Matrix from matrix with index manipulators
matrix<double> C(6,6,0);
C <<= A, move(3,0), A;
// [ A 0 ]
// [ 0 A ]
// A faster way for to construct this dense matrix.
matrix<double> D(6,6);
D <<= A, zero_matrix<double>(3,3),
zero_matrix<double>(3,3), A;
// [ A 0 ]
// [ 0 A ]
// The next_row and next_column index manipulators:
// note: next_row and next_column functions return
// a next_row_manip and and next_column_manip object.
// This is the manipulator we used earlier when we disabled
// wrapping.
matrix<double> E(2,4,0);
E <<= 1, 2, next_row(),
3, 4, next_column(),5;
std::cout << E << std::endl;
// [ 1 2 0 5 ]
// [ 3 4 0 0 ]
// The begin1 (moves to the begining of the column) index manipulator, begin2 does the same for the row:
matrix<double> F(2,4,0);
F <<= 1, 2, next_row(),
3, 4, begin1(),5;
std::cout << F << std::endl;
// [ 1 2 5 0 ]
// [ 3 4 0 0 ]
// The move (relative) and move_to(absolute) index manipulators (probably the most useful manipulators):
matrix<double> G(2,4,0);
G <<= 1, 2, move(0,1), 3,
move_to(1,3), 4;
std::cout << G << std::endl;
// [ 1 2 0 3 ]
// [ 0 0 0 4 ]
// Static equivallents (faster) when sizes are known at compile time:
matrix<double> Gs(2,4,0);
Gs <<= 1, 2, move<0,1>(), 3,
move_to<1,3>(), 4;
std::cout << Gs << std::endl;
// [ 1 2 0 3 ]
// [ 0 0 0 4 ]
// Choice of traverse policy (default is "row by row" traverse):
matrix<double> H(2,4,0);
H <<= 1, 2, 3, 4,
5, 6, 7, 8;
std::cout << H << std::endl;
// [ 1 2 3 4 ]
// [ 5 6 7 8 ]
H <<= traverse_policy::by_column(),
1, 2, 3, 4,
5, 6, 7, 8;
std::cout << H << std::endl;
// [ 1 3 5 7 ]
// [ 2 4 6 8 ]
// traverse policy can be changed mid assignment if desired.
matrix<double> H1(4,4,0);
H1 <<= 1, 2, 3, traverse_policy::by_column(), 1, 2, 3;
std::cout << H << std::endl;
// [1 2 3 1]
// [0 0 0 2]
// [0 0 0 3]
// [0 0 0 0]
// note: fill_policy and traverse_policy are namespaces, so you can use them
// by a using statement.
// For compressed and coordinate matrix types a push_back or insert fill policy can be chosen for faster assginment:
compressed_matrix<double> I(2, 2);
I <<= fill_policy::sparse_push_back(),
0, 1, 2, 3;
std::cout << I << std::endl;
// [ 0 1 ]
// [ 2 3 ]
coordinate_matrix<double> J(2,2);
J<<=fill_policy::sparse_insert(),
1, 2, 3, 4;
std::cout << J << std::endl;
// [ 1 2 ]
// [ 3 4 ]
// A sparse matrix from another matrix works as with other types.
coordinate_matrix<double> K(3,3);
K<<=fill_policy::sparse_insert(),
J;
std::cout << K << std::endl;
// [ 1 2 0 ]
// [ 3 4 0 ]
// [ 0 0 0 ]
// Be careful this will not work:
//compressed_matrix<double> J2(4,4);
//J2<<=fill_policy::sparse_push_back(),
// J,J;
// That's because the second J2's elements
// are attempted to be assigned at positions
// that come before the elements already pushed.
// Unfortunatelly that's the only thing you can do in this case
// (or of course make a custom agorithm):
compressed_matrix<double> J2(4,4);
J2<<=fill_policy::sparse_push_back(),
J, fill_policy::sparse_insert(),
J;
std::cout << J2 << std::endl;
// [ J J ]
// [ 0 0 0 0 ]
// [ 0 0 0 0 ]
// A different traverse policy doesn't change the result, only they order it is been assigned.
coordinate_matrix<double> L(3,3);
L<<=fill_policy::sparse_insert(), traverse_policy::by_column(),
J;
std::cout << L << std::endl;
// (same as previous)
// [ 1 2 0 ]
// [ 3 4 0 ]
// [ 0 0 0 ]
typedef coordinate_matrix<double>::size_type cmst;
const cmst size = 30;
//typedef fill_policy::sparse_push_back spb;
// Although the above could have been used the following is may be faster if
// you use the policy often and for relatively small containers.
static fill_policy::sparse_push_back spb;
// A block diagonal sparse using a loop:
compressed_matrix<double> M(size, size, 4*15);
for (cmst i=0; i!=size; i+=J.size1())
M <<= spb, move_to(i,i), J;
// If typedef was used above the last expression should start
// with M <<= spb()...
// Displaying so that blocks can be easily seen:
for (unsigned int i=0; i!=M.size1(); i++) {
std::cout << M(i,0);
for (unsigned int j=1; j!=M.size2(); j++) std::cout << ", " << M(i,j);
std::cout << "\n";
}
// [ J 0 0 0 ... 0]
// [ 0 J 0 0 ... 0]
// [ 0 . . . ... 0]
// [ 0 0 ... 0 0 J]
// A "repeat" trasverser may by provided so that this becomes faster and an on-liner like:
// M <<= spb, repeat(0, size, J.size1(), 0, size, J.size1()), J;
// An alternate would be to create a :repeater" matrix and vector expression that can be used in other places as well. The latter is probably better,
return 0;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/banded.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
banded_adaptor<matrix<double> > ba (m, 1, 1);
for (signed i = 0; i < signed (ba.size1 ()); ++ i)
for (signed j = (std::max) (i - 1, 0); j < (std::min) (i + 2, signed (ba.size2 ())); ++ j)
ba (i, j) = 3 * i + j;
std::cout << ba << std::endl;
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/banded.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
banded_matrix<double> m (3, 3, 1, 1);
for (signed i = 0; i < signed (m.size1 ()); ++ i)
for (signed j = (std::max) (i - 1, 0); j < (std::min) (i + 2, signed (m.size2 ())); ++ j)
m (i, j) = 3 * i + j;
std::cout << m << std::endl;
}
@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/storage.hpp>
int main () {
using namespace boost::numeric::ublas;
bounded_array<double, 3> a (3);
for (unsigned i = 0; i < a.size (); ++ i) {
a [i] = i;
std::cout << a [i] << std::endl;
}
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
compressed_matrix<double> m (3, 3, 3 * 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout << m << std::endl;
}
@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
compressed_vector<double> v (3, 3);
for (unsigned i = 0; i < v.size (); ++ i)
v (i) = i;
std::cout << v << std::endl;
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
coordinate_matrix<double> m (3, 3, 3 * 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout << m << std::endl;
}
@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
coordinate_vector<double> v (3, 3);
for (unsigned i = 0; i < v.size (); ++ i)
v (i) = i;
std::cout << v << std::endl;
}
@@ -0,0 +1,58 @@
// Copyright Gunter Winkler 2004 - 2009.
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
#include <iostream>
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/triangular.hpp>
#include <boost/numeric/ublas/io.hpp>
using std::cout;
using std::endl;
namespace ublas = boost::numeric::ublas;
int main(int argc, char * argv[] ) {
ublas::matrix<double> M (3, 3);
for (std::size_t i=0; i < M.data().size(); ++i) { M.data()[i] = 1+i ; }
std::cout << "full M = " << M << "\n" ;
ublas::triangular_matrix<double, ublas::lower> L;
ublas::triangular_matrix<double, ublas::unit_lower> UL;
ublas::triangular_matrix<double, ublas::strict_lower> SL;
L = ublas::triangular_adaptor<ublas::matrix<double>, ublas::lower> (M);
SL = ublas::triangular_adaptor<ublas::matrix<double>, ublas::strict_lower> (M);
UL = ublas::triangular_adaptor<ublas::matrix<double>, ublas::unit_lower> (M);
std::cout << "lower L = " << L << "\n"
<< "strict lower SL = " << SL << "\n"
<< "unit lower UL = " << UL << "\n" ;
ublas::triangular_matrix<double, ublas::upper> U;
ublas::triangular_matrix<double, ublas::unit_upper> UU;
ublas::triangular_matrix<double, ublas::strict_upper> SU;
U = ublas::triangular_adaptor<ublas::matrix<double>, ublas::upper> (M);
SU = ublas::triangular_adaptor<ublas::matrix<double>, ublas::strict_upper> (M);
UU = ublas::triangular_adaptor<ublas::matrix<double>, ublas::unit_upper> (M);
std::cout << "upper U = " << U << "\n"
<< "strict upper SU = " << SU << "\n"
<< "unit upper UU = " << UU << "\n" ;
std::cout << "M = L + SU ? " << ((norm_inf( M - (L + SU) ) == 0.0)?"ok":"failed") << "\n";
std::cout << "M = U + SL ? " << ((norm_inf( M - (U + SL) ) == 0.0)?"ok":"failed") << "\n";
}
@@ -0,0 +1,34 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/hermitian.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<std::complex<double> > m (3, 3);
hermitian_adaptor<matrix<std::complex<double> >, lower> hal (m);
for (unsigned i = 0; i < hal.size1 (); ++ i) {
for (unsigned j = 0; j < i; ++ j)
hal (i, j) = std::complex<double> (3 * i + j, 3 * i + j);
hal (i, i) = std::complex<double> (4 * i, 0);
}
std::cout << hal << std::endl;
hermitian_adaptor<matrix<std::complex<double> >, upper> hau (m);
for (unsigned i = 0; i < hau.size1 (); ++ i) {
hau (i, i) = std::complex<double> (4 * i, 0);
for (unsigned j = i + 1; j < hau.size2 (); ++ j)
hau (i, j) = std::complex<double> (3 * i + j, 3 * i + j);
}
std::cout << hau << std::endl;
}
@@ -0,0 +1,33 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/hermitian.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
hermitian_matrix<std::complex<double>, lower> ml (3, 3);
for (unsigned i = 0; i < ml.size1 (); ++ i) {
for (unsigned j = 0; j < i; ++ j)
ml (i, j) = std::complex<double> (3 * i + j, 3 * i + j);
ml (i, i) = std::complex<double> (4 * i, 0);
}
std::cout << ml << std::endl;
hermitian_matrix<std::complex<double>, upper> mu (3, 3);
for (unsigned i = 0; i < mu.size1 (); ++ i) {
mu (i, i) = std::complex<double> (4 * i, 0);
for (unsigned j = i + 1; j < mu.size2 (); ++ j)
mu (i, j) = std::complex<double> (3 * i + j, 3 * i + j);
}
std::cout << mu << std::endl;
}
@@ -0,0 +1,21 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
identity_matrix<double> m (3);
std::cout << m << std::endl;
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/storage_sparse.hpp>
int main () {
using namespace boost::numeric::ublas;
map_array<int, double> a;
a.reserve (3);
for (unsigned i = 0; i < 3; ++ i) {
a [i] = i;
std::cout << a [i] << std::endl;
}
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
mapped_matrix<double> m (3, 3, 3 * 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout << m << std::endl;
}
@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
mapped_vector<double> v (3, 3);
for (unsigned i = 0; i < v.size (); ++ i)
v (i) = i;
std::cout << v << std::endl;
}
+24
View File
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout << m << std::endl;
}
@@ -0,0 +1,26 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m1 (3, 3), m2 (3, 3);
for (unsigned i = 0; i < (std::min) (m1.size1 (), m2.size1 ()); ++ i)
for (unsigned j = 0; j < (std::min) (m1.size2 (), m2.size2 ()); ++ j)
m1 (i, j) = m2 (i, j) = 3 * i + j;
std::cout << m1 + m2 << std::endl;
std::cout << m1 - m2 << std::endl;
}
@@ -0,0 +1,26 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
std::cout << 2.0 * m << std::endl;
std::cout << m * 2.0 << std::endl;
}
@@ -0,0 +1,27 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned j = 0; j < m.size2 (); ++ j) {
matrix_column<matrix<double> > mc (m, j);
for (unsigned i = 0; i < mc.size (); ++ i)
mc (i) = 3 * i + j;
std::cout << mc << std::endl;
}
}
@@ -0,0 +1,26 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned j = 0; j < m.size2 (); ++ j) {
for (unsigned i = 0; i < m.size1 (); ++ i)
column (m, j) (i) = 3 * i + j;
std::cout << column (m, j) << std::endl;
}
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m1 (3, 3), m2 (3, 3);
for (unsigned i = 0; i < (std::min) (m1.size1 (), m2.size1 ()); ++ i)
for (unsigned j = 0; j < (std::min) (m1.size2 (), m2.size2 ()); ++ j)
m1 (i, j) = m2 (i, j) = 3 * i + j;
std::cout << prod (m1, m2) << std::endl;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/triangular.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m1 (3, 3), m2 (3, 3);
for (unsigned i = 0; i < (std::min) (m1.size1 (), m2.size1 ()); ++ i)
for (unsigned j = 0; j <= i; ++ j)
m1 (i, j) = m2 (i, j) = 3 * i + j + 1;
std::cout << solve (m1, m2, lower_tag ()) << std::endl;
}
@@ -0,0 +1,26 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
matrix_range<matrix<double> > mr (m, range (0, 3), range (0, 3));
for (unsigned i = 0; i < mr.size1 (); ++ i)
for (unsigned j = 0; j < mr.size2 (); ++ j)
mr (i, j) = 3 * i + j;
std::cout << mr << std::endl;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
project (m, range (0, 3), range (0, 3)) (i, j) = 3 * i + j;
std::cout << project (m, range (0, 3), range (0, 3)) << std::endl;
}
@@ -0,0 +1,27 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i) {
matrix_row<matrix<double> > mr (m, i);
for (unsigned j = 0; j < mr.size (); ++ j)
mr (j) = 3 * i + j;
std::cout << mr << std::endl;
}
}
@@ -0,0 +1,26 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i) {
for (unsigned j = 0; j < m.size2 (); ++ j)
row (m, i) (j) = 3 * i + j;
std::cout << row (m, i) << std::endl;
}
}
@@ -0,0 +1,26 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
matrix_slice<matrix<double> > ms (m, slice (0, 1, 3), slice (0, 1, 3));
for (unsigned i = 0; i < ms.size1 (); ++ i)
for (unsigned j = 0; j < ms.size2 (); ++ j)
ms (i, j) = 3 * i + j;
std::cout << ms << std::endl;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
project (m, slice (0, 1, 3), slice (0, 1, 3)) (i, j) = 3 * i + j;
std::cout << project (m, slice (0, 1, 3), slice (0, 1, 3)) << std::endl;
}
@@ -0,0 +1,30 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<std::complex<double> > m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = std::complex<double> (3 * i + j, 3 * i + j);
std::cout << - m << std::endl;
std::cout << conj (m) << std::endl;
std::cout << real (m) << std::endl;
std::cout << imag (m) << std::endl;
std::cout << trans (m) << std::endl;
std::cout << herm (m) << std::endl;
}
@@ -0,0 +1,29 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
vector<double> v (3);
for (unsigned i = 0; i < (std::min) (m.size1 (), v.size ()); ++ i) {
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
v (i) = i;
}
std::cout << prod (m, v) << std::endl;
std::cout << prod (v, m) << std::endl;
}
@@ -0,0 +1,27 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
matrix_vector_range<matrix<double> > mvr (m, range (0, 3), range (0, 3));
std::cout << mvr << std::endl;
}
@@ -0,0 +1,27 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
for (unsigned i = 0; i < m.size1 (); ++ i)
for (unsigned j = 0; j < m.size2 (); ++ j)
m (i, j) = 3 * i + j;
matrix_vector_slice<matrix<double> > mvs (m, slice (0, 1, 3), slice (0, 1, 3));
std::cout << mvs << std::endl;
}
@@ -0,0 +1,29 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/triangular.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
vector<double> v (3);
for (unsigned i = 0; i < (std::min) (m.size1 (), v.size ()); ++ i) {
for (unsigned j = 0; j <= i; ++ j)
m (i, j) = 3 * i + j + 1;
v (i) = i;
}
std::cout << solve (m, v, lower_tag ()) << std::endl;
std::cout << solve (v, m, lower_tag ()) << std::endl;
}
+22
View File
@@ -0,0 +1,22 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/storage.hpp>
int main () {
using namespace boost::numeric::ublas;
range r (0, 3);
for (unsigned i = 0; i < r.size (); ++ i) {
std::cout << r (i) << std::endl;
}
}
+22
View File
@@ -0,0 +1,22 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/storage.hpp>
int main () {
using namespace boost::numeric::ublas;
slice s (0, 1, 3);
for (unsigned i = 0; i < s.size (); ++ i) {
std::cout << s (i) << std::endl;
}
}
@@ -0,0 +1,30 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/symmetric.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
symmetric_adaptor<matrix<double>, lower> sal (m);
for (unsigned i = 0; i < sal.size1 (); ++ i)
for (unsigned j = 0; j <= i; ++ j)
sal (i, j) = 3 * i + j;
std::cout << sal << std::endl;
symmetric_adaptor<matrix<double>, upper> sau (m);
for (unsigned i = 0; i < sau.size1 (); ++ i)
for (unsigned j = i; j < sau.size2 (); ++ j)
sau (i, j) = 3 * i + j;
std::cout << sau << std::endl;
}
@@ -0,0 +1,29 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/symmetric.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
symmetric_matrix<double, lower> ml (3, 3);
for (unsigned i = 0; i < ml.size1 (); ++ i)
for (unsigned j = 0; j <= i; ++ j)
ml (i, j) = 3 * i + j;
std::cout << ml << std::endl;
symmetric_matrix<double, upper> mu (3, 3);
for (unsigned i = 0; i < mu.size1 (); ++ i)
for (unsigned j = i; j < mu.size2 (); ++ j)
mu (i, j) = 3 * i + j;
std::cout << mu << std::endl;
}
@@ -0,0 +1,30 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/triangular.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
matrix<double> m (3, 3);
triangular_adaptor<matrix<double>, lower> tal (m);
for (unsigned i = 0; i < tal.size1 (); ++ i)
for (unsigned j = 0; j <= i; ++ j)
tal (i, j) = 3 * i + j;
std::cout << tal << std::endl;
triangular_adaptor<matrix<double>, upper> tau (m);
for (unsigned i = 0; i < tau.size1 (); ++ i)
for (unsigned j = i; j < tau.size2 (); ++ j)
tau (i, j) = 3 * i + j;
std::cout << tau << std::endl;
}
@@ -0,0 +1,29 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/triangular.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
triangular_matrix<double, lower> ml (3, 3);
for (unsigned i = 0; i < ml.size1 (); ++ i)
for (unsigned j = 0; j <= i; ++ j)
ml (i, j) = 3 * i + j;
std::cout << ml << std::endl;
triangular_matrix<double, upper> mu (3, 3);
for (unsigned i = 0; i < mu.size1 (); ++ i)
for (unsigned j = i; j < mu.size2 (); ++ j)
mu (i, j) = 3 * i + j;
std::cout << mu << std::endl;
}
@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/storage.hpp>
int main () {
using namespace boost::numeric::ublas;
unbounded_array<double> a (3);
for (unsigned i = 0; i < a.size (); ++ i) {
a [i] = i;
std::cout << a [i] << std::endl;
}
}
@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
for (int i = 0; i < 3; ++ i) {
unit_vector<double> v (3, i);
std::cout << v << std::endl;
}
}
+23
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@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v (3);
for (unsigned i = 0; i < v.size (); ++ i)
v (i) = i;
std::cout << v << std::endl;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v1 (3), v2 (3);
for (unsigned i = 0; i < (std::min) (v1.size (), v2.size ()); ++ i)
v1 (i) = v2 (i) = i;
std::cout << v1 + v2 << std::endl;
std::cout << v1 - v2 << std::endl;
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v1 (3), v2 (3);
for (unsigned i = 0; i < (std::min) (v1.size (), v2.size ()); ++ i)
v1 (i) = v2 (i) = i;
std::cout << outer_prod (v1, v2) << std::endl;
}
@@ -0,0 +1,23 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v1 (3), v2 (3);
for (unsigned i = 0; i < (std::min) (v1.size (), v2.size ()); ++ i)
v1 (i) = v2 (i) = i;
std::cout << inner_prod (v1, v2) << std::endl;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v (3);
for (unsigned i = 0; i < v.size (); ++ i)
v (i) = i;
std::cout << 2.0 * v << std::endl;
std::cout << v * 2.0 << std::endl;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/vector_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v (3);
vector_range<vector<double> > vr (v, range (0, 3));
for (unsigned i = 0; i < vr.size (); ++ i)
vr (i) = i;
std::cout << vr << std::endl;
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/vector_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v (3);
for (int i = 0; i < 3; ++ i)
project (v, range (0, 3)) (i) = i;
std::cout << project (v, range (0, 3)) << std::endl;
}
@@ -0,0 +1,25 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/vector_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v (3);
vector_slice<vector<double> > vs (v, slice (0, 1, 3));
for (unsigned i = 0; i < vs.size (); ++ i)
vs (i) = i;
std::cout << vs << std::endl;
}
@@ -0,0 +1,24 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/vector_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v (3);
for (int i = 0; i < 3; ++ i)
project (v, slice (0, 1, 3)) (i) = i;
std::cout << project (v, slice (0, 1, 3)) << std::endl;
}
@@ -0,0 +1,29 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<std::complex<double> > v (3);
for (unsigned i = 0; i < v.size (); ++ i)
v (i) = std::complex<double> (i, i);
std::cout << - v << std::endl;
std::cout << conj (v) << std::endl;
std::cout << real (v) << std::endl;
std::cout << imag (v) << std::endl;
std::cout << trans (v) << std::endl;
std::cout << herm (v) << std::endl;
}
@@ -0,0 +1,27 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
int main () {
using namespace boost::numeric::ublas;
vector<double> v (3);
for (unsigned i = 0; i < v.size (); ++ i)
v (i) = i;
std::cout << sum (v) << std::endl;
std::cout << norm_1 (v) << std::endl;
std::cout << norm_2 (v) << std::endl;
std::cout << norm_inf (v) << std::endl;
std::cout << index_norm_inf (v) << std::endl;
}
@@ -0,0 +1,21 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
zero_matrix<double> m (3, 3);
std::cout << m << std::endl;
}
@@ -0,0 +1,21 @@
//
// Copyright (c) 2000-2002
// Joerg Walter, Mathias Koch
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
// The authors gratefully acknowledge the support of
// GeNeSys mbH & Co. KG in producing this work.
//
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/io.hpp>
int main () {
using namespace boost::numeric::ublas;
zero_vector<double> v (3);
std::cout << v << std::endl;
}
+157
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@@ -0,0 +1,157 @@
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<h1><img src="../../../../boost.png" align="middle" />Storage concept</h1>
<div class="toc" id="toc"></div>
<h2><a name="range"></a>Storage concept</h2>
<h4>Description</h4>
<p>Storage is a variable-size container whose elements are arranged in a strict linear order.
<p>Storage extends the STL Container concept with some STL Sequence-like functionality. The main difference with
the Sequence concept however is that the Storage concept does not require default-initialisation of its
elements.
<h4>Refinement of</h4>
<a href="http://www.sgi.com/tech/stl/RandomAccessContainer.html">Random Access Container</a>
and
<a href="http://www.sgi.com/tech/stl/DefaultConstructible.html">Default Constructible</a>
<h4>Associated types</h4>
No additional types beyond those defined by
<a href="http://www.sgi.com/tech/stl/RandomAccessContainer.html">Random Access Container</a>
<h4>Notation</h4>
<table summary="storage types">
<tr><td><tt>X</tt></td><td>A type that is model of Storage</td></tr>
<tr><td><tt>T</tt></td><td>The value_type of <tt>X</tt></td></tr>
<tr><td><tt>t</tt></td><td>An object of type <tt>T</tt></td></tr>
<tr><td><tt>n</tt></td><td>object of type convertible to <tt>X::size_type</tt></td></tr>
</table>
<h4>Definitions</h4>
<h4>Valid expressions</h4>
In addition to the expressions defined in
<a href="http://www.sgi.com/tech/stl/RandomAccessContainer.html">Random Access Container</a>,
and
<a href="http://www.sgi.com/tech/stl/DefaultConstructible.html">Default Constructible</a>
the following expressions must be valid:
<table border="1" summary="type requirements">
<TR><TH>Name</TH><TH>Expression</TH><TH>Type requirements</TH><TH>Return type</TH></TR>
<TR>
<td>Size constructor</td>
<td><tt>X(n)</tt></td>
<td>T is <a href="http://www.sgi.com/tech/stl/DefaultConstructible.html">DefaultConstructible</a></td>
<td><tt>X</tt></td>
</TR>
<TR>
<td>Fill constructor</td>
<td><tt>X(n,t)</tt></td>
<td></td>
<td><tt>X</tt></td>
</TR>
<TR>
<TD>Range constructor</TD>
<TD><tt>X(i, j)</tt></TD>
<TD><tt>i</tt> and <tt>j</tt> are <A href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterators</A> whose value type is convertible to <tt>T</tt> </TD>
<TD><tt>X</tt> </TD>
</TR>
<TR>
<TD>Resize</TD>
<TD><tt>a.resize(n, t)</tt></TD>
<TD><tt>a</tt> is mutable</TD>
<TD><tt>void</tt></TD>
</TR>
<TR>
<TD>Resize</TD>
<TD><tt>a.resize(n)</tt></TD>
<TD><tt>a</tt> is mutable</TD>
<TD><tt>void</tt></TD>
</tr>
</table>
<h3>Expression semantics</h3>
<table border="1" summary="expresisons">
<tr><th>Name<th>Expression<th>Precondition<th>Semantics<th>Postcondition
<tr>
<td>Default-constructor</td>
<td><tt>X()</tt>
<td></td>
<td>Creates 0 elements.
</td>
<td><tt>size()==0</tt></td>
</tr>
<tr>
<td>Size-constructor</td>
<td><tt>X(n)</tt>
<td><tt>n>=0</tt></td>
<td>Creates n elements. Elements are constructed without an initializer. That is
if T is a (possibly cv-qualified) non-POD class type (or array thereof), the object is default
initialized. Otherwise, the object created has indeterminate value. See the sentance
"If new initializer is omitted" in section 5.3.4 paragraph 15 of the ISO C++ standard.
</td>
<td><tt>size()==n</tt></td>
</tr>
<tr>
<td>Fill-constructor</td>
<td><tt>X(n,t)</tt>
<td><tt>n>=0</tt></td>
<td>Creates n initialised element with copies of <code>t</code></td>
<td><tt>size()==n</tt></td>
</tr>
<TR>
<TD>Range constructor</TD>
<TD><tt>X(i, j)</tt></TD>
<TD><tt>[i,j)</tt> is a valid range.</TD>
<TD>copies the range <tt>[i,j) to the storage</tt></TD>
<TD><tt>size()</tt> is equal to the distance from <tt>i</tt> to <tt>j</tt>. Each element is a copy of the corresponding element in the range <tt>[i,j)</tt>.</TD>
</TR>
<TR>
<TD>Resize</TD>
<TD><tt>a.resize(n, t)</tt></TD>
<TD><tt>n &lt;= a.max_size()</tt></TD>
<td>Modified the container so that it has exactly <tt>n</tt> elements.<br />
The container may be reallocated if its size changes.
Existing element values are preserved, additional elements are copies of <code>t</code>.</td>
<TD><tt>a.size() == n</tt></TD>
</TR>
<TR>
<TD>Resize</TD>
<TD><tt>a.resize(n)</tt></TD>
<TD><tt>n &lt;= a.max_size()</tt></TD>
<TD>Modified the container so that it has exactly <tt>n</tt> elements.<br />
The container may be reallocated if its size changes. Element values are uninitialised. That is,
each element value may be a previously assigned value or default construced value for <code>T</code>.</TD>
<TD><tt>a.size() == n</tt></TD>
</tr>
</table>
<h4>Complexity guarantees</h4>
<h4>Invariants</h4>
<h4>Models</h4>
<ul>
<li><a href="unbounded_array.html">unbounded_array</a>
<li><a href="bounded_array.html">bounded_array</a>
</ul>
<h4>Notes</h4>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" />Sparse Storage</h1>
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<h2><a name="map_std"></a>Default Standard Map</h2>
<h4>Description</h4>
<p>The templated class <code>map_std&lt;I, T, ALLOC&gt;</code> provides a
wrapper for the standard library associative container
<code>std::map</code>. The wrapper has one simple purpose. It
allows the definition of a default template parameter (for the
adapted array) when declaring the sparse container types.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/storage_sparse.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
map_std&lt;int, double&gt; a (3);
for (unsigned i = 0; i &lt; a.size (); ++ i) {
a [i] = i;
std::cout &lt;&lt; a [i] &lt;&lt; std::endl;
}
}
</pre>
<h4>Definition</h4>
<p>Defined in the header storage_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>I</code></td>
<td>The type of index stored in the array.</td>
<td></td>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the array.</td>
<td></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p>Reversible Container.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of Reversible
Container.</p>
<h4>Public base classes</h4>
<p>std::map</p>
<h2><a name="map_array"></a>Map Array</h2>
<h4>Description</h4>
<p>The templated class <code>map_array&lt;I, T, ALLOC&gt;</code> implements a <code>std::map</code> like associative container as a sorted array. It therefore some of the Associative Container interface without having the same semantics as an std::map.
<p>At any time the <code>map_array</code> has a capacity up to which new element can be inserted.
If <code>insert</code> would cause the size of the <code>map_array</code> to exceeds its capactity then it is <strong>reallocated</strong>. Iterators and reference are invalidated.
The capacity can be directly control using the <code>reserve</code> member function.
</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/storage_sparse.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
map_array&lt;int, double&gt; a (3);
for (unsigned i = 0; i &lt; a.size (); ++ i) {
a [i] = i;
std::cout &lt;&lt; a [i] &lt;&lt; std::endl;
}
}
</pre>
<h4>Definition</h4>
<p>Defined in the header storage_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>I</code></td>
<td>The type of index stored in the array.</td>
<td></td>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the array.</td>
<td></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p>Reversible Container.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of Reversible
Container.</p>
<h4>Public base classes</h4>
<p>None.</p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>map_array (ALLOC &amp;a = ALLOC())</code></td>
<td>Allocates a <code>map_array</code> that holds at most zero
elements.</td>
</tr>
<tr>
<td><code>map_array (const map_array &amp;c)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>~map_array ()</code></td>
<td>Deallocates the <code>map_array</code> itself.</td>
</tr>
<tr>
<td><code>void reserve (size_type capacity)</code></td>
<td>
Changes the<code>map_array</code> capacity. It can hold at most<code>capacity</code> elements without reallocation. The capacity can be reduced such that <code>capacity >= size()</code>. The content of the<code>map_array</code> is preserved.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>map_array</code>.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the capacity of the <code>map_array</code>.</td>
</tr>
<tr>
<td><code>data_reference operator [] (index_type i)</code></td>
<td>Returns a reference of the element that is associated with a
particular index. If the <code>map_array</code> does not already
contain such an element, <code>operator[]</code> inserts the
default <code>T ()</code>.</td>
</tr>
<tr>
<td><code>map_array &amp;operator = (const map_array
&amp;a)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>map_array &amp;assign_temporary (map_array
&amp;a)</code></td>
<td>Assigns a temporary. May change the array <code>a</code>.</td>
</tr>
<tr>
<td><code>void swap (map_array &amp;a)</code></td>
<td>Swaps the contents of the arrays.</td>
</tr>
<tr>
<td><code>std::pair<iterator, bool> insert (const value_type
&amp;p)</code></td>
<td>Inserts <code>p</code> into the array. The second part of the return value is <code>true</code>
if <code>p</code> was inserted and <code>false</code> if was not inserted because it was aleady
present.</td>
</tr>
<tr>
<td><code>iterator insert (iterator it, const value_type
&amp;p)</code></td>
<td>Inserts <code>p</code> into the array, using <code>it</code> as
a hint to where it will be inserted.</td>
</tr>
<tr>
<td><code>void erase (iterator it)</code></td>
<td>Erases the value at <code>it</code>.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the array.</td>
</tr>
<tr>
<td><code>const_iterator find (index_type i) const</code></td>
<td>Finds an element whose index is <code>i</code>.</td>
</tr>
<tr>
<td><code>iterator find (index_type i)</code></td>
<td>Finds an element whose index is <code>i</code>.</td>
</tr>
<tr>
<td><code>const_iterator lower_bound (index_type i)
const</code></td>
<td>Finds the first element whose index is not less than
<code>i</code> .</td>
</tr>
<tr>
<td><code>iterator lower_bound (index_type i)</code></td>
<td>Finds the first element whose index is not less than
<code>i</code> .</td>
</tr>
<tr>
<td><code>const_iterator upper_bound (index_type i)
const</code></td>
<td>Finds the first element whose index is greater than
<code>i</code> .</td>
</tr>
<tr>
<td><code>iterator upper_bound (index_type i)</code></td>
<td>Finds the first element whose index is greater than
<code>i</code> .</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>map_array</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>map_array</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>map_array</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>map_array</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>map_array</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>map_array</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>map_array</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>map_array</code>.</td>
</tr>
</tbody>
</table>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" />Symmetric Matrix</h1>
<div class="toc" id="toc"></div>
<h2><a name="symmetric_matrix"></a>Symmetric Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>symmetric_matrix&lt;T, F1, F2,
A&gt;</code> is the base container adaptor for symmetric matrices.
For a <em>(n x n</em> )-dimensional symmetric matrix and <em>0
&lt;= i &lt; n</em>, <em>0 &lt;= j &lt; n</em> holds
<em>s</em><sub><em>i, j</em></sub> <em>= s</em><sub><em>j,
i</em></sub>. The storage of symmetric matrices is packed.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/symmetric.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
symmetric_matrix&lt;double, lower&gt; ml (3, 3);
for (unsigned i = 0; i &lt; ml.size1 (); ++ i)
for (unsigned j = 0; j &lt;= i; ++ j)
ml (i, j) = 3 * i + j;
std::cout &lt;&lt; ml &lt;&lt; std::endl;
symmetric_matrix&lt;double, upper&gt; mu (3, 3);
for (unsigned i = 0; i &lt; mu.size1 (); ++ i)
for (unsigned j = i; j &lt; mu.size2 (); ++ j)
mu (i, j) = 3 * i + j;
std::cout &lt;&lt; mu &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header symmetric.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F1</code></td>
<td>Functor describing the type of the symmetric matrix. <a name=
"#symmetric_matrix_1">[1]</a></td>
<td><code>lower</code></td>
</tr>
<tr>
<td><code>F2</code></td>
<td>Functor describing the storage organization. <a name=
"#symmetric_matrix_2">[2]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a name="#symmetric_matrix_3"
>[3]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;symmetric_matrix&lt;T, F1, F2, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>symmetric_matrix (size_type size)</code></td>
<td>Allocates an uninitialized <code>symmetric_matrix</code> that
holds <code>size</code> rows of <code>size</code> elements.</td>
</tr>
<tr>
<td><code>symmetric_matrix (const symmetric_matrix
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_matrix (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool preserve =
true)</code></td>
<td>Reallocates a <code>symmetric_matrix</code> to hold
<code>size</code> rows of <code>size</code> elements. The existing
elements of the <code>symmetric_matrix</code> are preseved when
specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>symmetric_matrix &amp;operator = (const symmetric_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>symmetric_matrix &amp;assign_temporary (symmetric_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the symmetric matrix
<code>m</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_matrix &amp;operator = (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the symmetric matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_matrix &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the symmetric matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_matrix &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the symmetric matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_matrix &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the symmetric matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_matrix &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the symmetric matrix. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
symmetric_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the symmetric matrix
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
symmetric_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the symmetric matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (symmetric_matrix &amp;m)</code></td>
<td>Swaps the contents of the symmetric matrices.</td>
</tr>
<tr>
<td><code>void insert (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void erase (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th elemenst of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>symmetric_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>symmetric_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="symmetric_matrix_1">[1]</a>
Supported parameters for the type of the symmetric matrix are
<code>lower</code> and <code>upper</code>.</p>
<p><a name="symmetric_matrix_2">[2]</a>
Supported parameters for the storage organization are
<code>row_major</code> and <code>column_major</code>.</p>
<p><a name="symmetric_matrix_3">[3]</a>
Supported parameters for the adapted array are
<code>unbounded_array&lt;T&gt;</code> ,
<code>bounded_array&lt;T&gt;</code> and
<code>std::vector&lt;T&gt;</code> .</p>
<h2><a name="symmetric_adaptor"></a>Symmetric Adaptor</h2>
<h4>Description</h4>
<p>The templated class <code>symmetric_adaptor&lt;M, F&gt;</code>
is a symmetric matrix adaptor for other matrices.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/symmetric.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
matrix&lt;double&gt; m (3, 3);
symmetric_adaptor&lt;matrix&lt;double&gt;, lower&gt; sal (m);
for (unsigned i = 0; i &lt; sal.size1 (); ++ i)
for (unsigned j = 0; j &lt;= i; ++ j)
sal (i, j) = 3 * i + j;
std::cout &lt;&lt; sal &lt;&lt; std::endl;
symmetric_adaptor&lt;matrix&lt;double&gt;, upper&gt; sau (m);
for (unsigned i = 0; i &lt; sau.size1 (); ++ i)
for (unsigned j = i; j &lt; sau.size2 (); ++ j)
sau (i, j) = 3 * i + j;
std::cout &lt;&lt; sau &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header symmetric.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>M</code></td>
<td>The type of the adapted matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the type of the symmetric adaptor. <a href=
"#symmetric_adaptor_1">[1]</a></td>
<td><code>lower</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#matrix_expression">Matrix Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#matrix_expression">Matrix Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_expression&lt;symmetric_adaptor&lt;M, F&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>symmetric_adaptor ()</code></td>
<td>Constructs a <code>symmetric_adaptor</code> that holds zero
rows of zero elements.</td>
</tr>
<tr>
<td><code>symmetric_adaptor (matrix_type &amp;data)</code></td>
<td>Constructs a <code>symmetric_adaptor</code> of a matrix.</td>
</tr>
<tr>
<td><code>symmetric_adaptor (const symmetric_adaptor
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_adaptor (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>symmetric_adaptor &amp;operator = (const
symmetric_adaptor &amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>symmetric_adaptor &amp;assign_temporary
(symmetric_adaptor &amp;m)</code></td>
<td>Assigns a temporary. May change the symmetric adaptor
<code>m</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_adaptor &amp;operator = (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_adaptor &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the symmetric adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_adaptor &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the symmetric adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_adaptor &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the symmetric adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_adaptor &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the symmetric adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
symmetric_adaptor &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the symmetric adaptor. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
symmetric_adaptor &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the symmetric
adaptor with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
symmetric_adaptor &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the symmetric adaptor
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (symmetric_adaptor &amp;m)</code></td>
<td>Swaps the contents of the symmetric adaptors.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>symmetric_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>symmetric_adaptor</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="symmetric_adaptor_1">[1]</a>
Supported parameters for the type of the symmetric adaptor are
<code>lower</code> and <code>upper</code>.</p>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h1><img src="../../../../boost.png" align="middle" />Triangular Matrix</h1>
<div class="toc" id="toc"></div>
<h2><a name="triangular_matrix"></a>Triangular Matrix</h2>
<h4>Description</h4>
<p>The templated class <code>triangular_matrix&lt;T, F1, F2,
A&gt;</code> is the base container adaptor for triangular matrices.
For a <em>(n x n</em> )-dimensional lower triangular matrix and
<em>0 &lt;= i &lt; n</em>,<em>0 &lt;= j &lt; n</em> holds
<em>t</em><sub><em>i, j</em></sub> <em>= 0</em> , if <em>i &gt;
j</em>. If furthermore holds t<sub><em>i, i</em></sub><em>= 1</em>
the matrix is called unit lower triangular. For a <em>(n x n</em>
)-dimensional lower triangular matrix and <em>0 &lt;= i &lt;
n</em>,<em>0 &lt;= j &lt; n</em> holds <em>t</em><sub><em>i,
j</em></sub> <em>= 0</em> , if <em>i &lt; j</em>. If furthermore
holds t<sub><em>i, i</em></sub><em>= 1</em> the matrix is called
unit lower triangular. The storage of triangular matrices is
packed.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/triangular.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
triangular_matrix&lt;double, lower&gt; ml (3, 3);
for (unsigned i = 0; i &lt; ml.size1 (); ++ i)
for (unsigned j = 0; j &lt;= i; ++ j)
ml (i, j) = 3 * i + j;
std::cout &lt;&lt; ml &lt;&lt; std::endl;
triangular_matrix&lt;double, upper&gt; mu (3, 3);
for (unsigned i = 0; i &lt; mu.size1 (); ++ i)
for (unsigned j = i; j &lt; mu.size2 (); ++ j)
mu (i, j) = 3 * i + j;
std::cout &lt;&lt; mu &lt;&lt; std::endl;
}
</pre>
<p>Please read the <a href="samples/ex_triangular.cpp">full triangular example</a> for more details.</p>
<h4>Definition</h4>
<p>Defined in the header triangular.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F1</code></td>
<td>Functor describing the type of the triangular matrix. <a href=
"#triangular_matrix_1">[1]</a></td>
<td><code>lower</code></td>
</tr>
<tr>
<td><code>F2</code></td>
<td>Functor describing the storage organization. <a href=
"#triangular_matrix_2">[2]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a href=
"#triangular_matrix_3">[3]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#matrix">Matrix</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_container&lt;triangular_matrix&lt;T, F1, F2, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>triangular_matrix ()</code></td>
<td>Allocates an uninitialized <code>triangular_matrix</code> that
holds zero rows of zero elements.</td>
</tr>
<tr>
<td><code>triangular_matrix (size_type size1, size_type
size2)</code></td>
<td>Allocates an uninitialized <code>triangular_matrix</code> that
holds <code>size1</code> rows of <code>size2</code> elements.</td>
</tr>
<tr>
<td><code>triangular_matrix (const triangular_matrix
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_matrix (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool
preserve = true)</code></td>
<td>Reallocates a <code>triangular_matrix</code> to hold
<code>size1</code> rows of <code>size2</code> elements. The
existing elements of the <code>triangular_matrix</code> are
preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>triangular_matrix &amp;operator = (const
triangular_matrix &amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>triangular_matrix &amp;assign_temporary
(triangular_matrix &amp;m)</code></td>
<td>Assigns a temporary. May change the triangular matrix
<code>m</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_matrix &amp;operator = (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the triangular matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_matrix &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the triangular matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_matrix &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the triangular matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_matrix &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the triangular matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_matrix &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the triangular matrix. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
triangular_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the triangular
matrix with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
triangular_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the triangular matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (triangular_matrix &amp;m)</code></td>
<td>Swaps the contents of the triangular matrices.</td>
</tr>
<tr>
<td><code>void insert (size_type i, size_type j, const_reference
t)</code></td>
<td>Inserts the value <code>t</code> at the <code>j</code>-th
element of the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void erase (size_type i, size_type j)</code></td>
<td>Erases the value at the <code>j</code>-th elemenst of the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>triangular_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>triangular_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="triangular_matrix_1">[1]</a>
Supported parameters for the type of the triangular matrix are
<code>lower</code> , <code>unit_lower</code>, <code>upper</code>
and <code>unit_upper</code> .</p>
<p><a name="triangular_matrix_2">[2]</a>
Supported parameters for the storage organization are
<code>row_major</code> and <code>column_major</code>.</p>
<p><a name="triangular_matrix_3">[3]</a>
Supported parameters for the adapted array are
<code>unbounded_array&lt;T&gt;</code> ,
<code>bounded_array&lt;T&gt;</code> and
<code>std::vector&lt;T&gt;</code> .</p>
<h2><a name="triangular_adaptor"></a>Triangular Adaptor</h2>
<h4>Description</h4>
<p>The templated class <code>triangular_adaptor&lt;M, F&gt;</code>
is a triangular matrix adaptor for other matrices.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/triangular.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
matrix&lt;double&gt; m (3, 3);
triangular_adaptor&lt;matrix&lt;double&gt;, lower&gt; tal (m);
for (unsigned i = 0; i &lt; tal.size1 (); ++ i)
for (unsigned j = 0; j &lt;= i; ++ j)
tal (i, j) = 3 * i + j;
std::cout &lt;&lt; tal &lt;&lt; std::endl;
triangular_adaptor&lt;matrix&lt;double&gt;, upper&gt; tau (m);
for (unsigned i = 0; i &lt; tau.size1 (); ++ i)
for (unsigned j = i; j &lt; tau.size2 (); ++ j)
tau (i, j) = 3 * i + j;
std::cout &lt;&lt; tau &lt;&lt; std::endl;
}
</pre>
<p>Please read the <a href="samples/ex_triangular.cpp">full triangular example</a> for more details.</p>
<h4>Definition</h4>
<p>Defined in the header triangular.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>M</code></td>
<td>The type of the adapted matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the type of the triangular adaptor. <a href=
"#triangular_adaptor_1">[1]</a></td>
<td><code>lower</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#matrix_expression">Matrix Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#matrix_expression">Matrix Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_expression&lt;triangular_adaptor&lt;M, F&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>triangular_adaptor (matrix_type &amp;data)</code></td>
<td>Constructs a <code>triangular_adaptor</code> of a matrix.</td>
</tr>
<tr>
<td><code>triangular_adaptor (const triangular_adaptor
&amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_adaptor (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns a <code>const</code> reference of the <code>j</code>
-th element in the <code>i</code>-th row.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i, size_type
j)</code></td>
<td>Returns a reference of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>triangular_adaptor &amp;operator = (const
triangular_adaptor &amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>triangular_adaptor &amp;assign_temporary
(triangular_adaptor &amp;m)</code></td>
<td>Assigns a temporary. May change the triangular adaptor
<code>m</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_adaptor &amp;operator = (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_adaptor &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the triangular adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_adaptor &amp;operator += (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the triangular adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_adaptor &amp;plus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a matrix expression to the triangular adaptor. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_adaptor &amp;operator -= (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the triangular adaptor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
triangular_adaptor &amp;minus_assign (const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a matrix expression from the triangular adaptor. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
triangular_adaptor &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the triangular
adaptor with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
triangular_adaptor &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the triangular adaptor
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (triangular_adaptor &amp;m)</code></td>
<td>Swaps the contents of the triangular adaptors.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>triangular_adaptor</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>triangular_adaptor</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="triangular_adaptor_1">[1]</a>
Supported parameters for the type of the triangular adaptor are
<code>lower</code> , <code>unit_lower</code>, <code>upper</code>
and <code>unit_upper</code> .</p>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<meta name="generator" content=
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<body>
<h1><img src="../../../../boost.png" align="middle" />Overview of Matrix- and Vector-Types </h1>
<div class="toc" id="toc"></div>
<dl>
<dt>Contents:</dt>
<dd><a href="#vectors">Vectors</a></dd>
<dd><a href="#vector_proxies">Vector Proxies</a></dd>
<dd><a href="#matrices">Matrices</a></dd>
<dd><a href="#matrix_proxies">Matrix Proxies</a></dd>
<dd><a href="#storage_layout">Special Storage Layouts</a></dd>
</dl>
<h2>Notation</h2>
<table style="border: none;" summary="notation">
<tr><td><code>T</code></td>
<td>is the data type. For general linear algebra operations this will be a real type e.g. <code>double</code>, ...</td></tr>
<tr><td><code>F</code></td>
<td>is the orientation type (functor), either
<code>row_major</code> or <code>column_major</code></td></tr>
<tr><td><code>A, IA, TA</code></td> <td>is an array storage type, e.g. <code>std::vector,
bounded_array, unbounded_array, ...</code></td></tr>
<tr><td><code>TRI</code></td>
<td>is a triangular functor: <code>lower,
unit_lower, strict_lower, upper, unit_upper,
strict_upper</code></td></tr>
<tr><td><code>M, N</code></td>
<td>are unsigned integer sizes
(<code>std::size_t</code>)</td></tr>
<tr><td><code>IB</code></td>
<td>is an index base
(<code>std::size_t</code>)</td></tr>
<tr><td><code>VEC</code></td>
<td>is any vector type</td></tr>
<tr><td><code>MAT</code> </td>
<td>is any matrix type</td></tr>
<tr><td><code>[...]</code></td>
<td>denote optional arguments - for more details
look at the section "storage layout".</td></tr>
</table>
<h2><a id="vectors">Vectors</a></h2>
<table border="1" summary="vector types">
<thead>
<tr>
<th width="30%">Definition</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>vector&lt;T [, A]&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td>a dense vector of values of type <code>T</code> of variable
size. A storage type <code>A</code> can be specified
which defaults to <code>unbounded_array</code>.
Elements are constructed by <code>A</code>, which need not initialise their value.</td>
</tr>
<tr>
<td><code>bounded_vector&lt;T, N&gt;<br />&nbsp;&nbsp; v;</code></td>
<td>a dense vector of values of type <code>T</code> of variable size but with maximum
<code>N</code>. The default constructor creates <code>v</code>
with size <code>N</code>.
Elements are constructed by the storage type <code>bounded_array</code>, which need not initialise their value.</td>
</tr>
<tr>
<td><code>c_vector&lt;T, M&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td>a dense vector of values of type <code>T</code> with the given size.
The data is stored as an ordinary C++ array <code>T
data_[M]</code></td>
</tr>
<tr>
<td><code>zero_vector&lt;T&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td>the zero vector of type <code>T</code> with the given
size.</td>
</tr>
<tr>
<td><code>unit_vector&lt;T&gt;<br />&nbsp;&nbsp; v(size,&nbsp;index);</code></td>
<td>the unit vector of type <code>T</code> with the given size. The
vector is zero other then a single specified element.
<br/><code>index</code> should be less than <code>size</code>.</td>
</tr>
<tr>
<td><code>mapped_vector&lt;T [, S]&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td>a sparse vector of values of type <code>T</code> of variable
size. The sparse storage type <code>S</code> can be <code>std::map&lt;size_t,
T&gt;</code> or <code>map_array&lt;size_t, T&gt;</code>.</td>
</tr>
<tr>
<td><code>compressed_vector&lt;T [,IB, IA, TA]&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td>a sparse vector of values of type <code>T</code> of variable
size. The non zero values are stored as two seperate arrays - an
index array and a value array. The index array is always sorted and
there is at most one entry for each index.</td>
</tr>
<tr>
<td><code>coordinate_vector&lt;T [,IB, IA, TA]&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td>a sparse vector of values of type <code>T</code> of variable
size. The non zero values are stored as two seperate arrays - an
index array and a value array. The arrays may be out of order with
multiple entries for each vector element. If there are multiple
values for the same index the sum of these values is the real
value.</td>
</tr>
</tbody>
</table>
<p><em>Note:</em> the default types are defined in
<code>boost/numeric/ublas/fwd.hpp</code>.</p>
<h2><a id="vector_proxies">Vector Proxies</a></h2>
<table border="1" summary="vector proxies">
<thead>
<tr>
<th width="30%">Definition</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>vector_range&lt;VEC&gt;<br />&nbsp;&nbsp; vr(v, range);</code></td>
<td>a vector referencing a continuous subvector of elements of
vector <code>v</code> containing all elements specified by
<code>range</code>.</td>
</tr>
<tr>
<td><code>vector_slice&lt;VEC&gt;<br />&nbsp;&nbsp; vs(v, slice);</code></td>
<td>a vector referencing a non continuous subvector of elements of
vector <code>v</code> containing all elements specified by
<code>slice</code>.</td>
</tr>
<tr>
<td><code>matrix_row&lt;MAT&gt;<br />&nbsp;&nbsp; vr(m, index);</code></td>
<td>a vector referencing the <code>index</code>-th row of matrix
<code>m</code></td>
</tr>
<tr>
<td><code>matrix_column&lt;MAT&gt;<br />&nbsp;&nbsp; vc(m, index);</code></td>
<td>a vector referencing the <code>index</code>-th column of matrix
<code>m</code></td>
</tr>
</tbody>
</table>
<h2><a id="matrices">Matrices</a></h2>
<table border="1" summary="matrix types">
<thead>
<tr>
<th width="30%">Definition</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>matrix&lt;T [, F, A]&gt;<br />&nbsp;&nbsp; m(size1, size2);</code></td>
<td>a dense matrix of values of type <code>T</code> of variable
size. A storage type <code>A</code> can be specified
which defaults to <code>unbounded_array</code>.
The orientation functor <code>F</code> defaults to
<code>row_major</code>.
Elements are constructed by <code>A</code>, which need not initialise their value.</td>
</tr>
<tr>
<td><code>bounded_matrix&lt;T, M, N [, F]&gt;<br />&nbsp;&nbsp; m;</code></td>
<td>a dense matrix of type <code>T</code> with variable size with maximum <code>M</code>-by-<code>N</code>. The orientation functor <code>F</code>
defaults to <code>row_major</code>. The default constructor creates
<code>m</code> with size <code>M</code>-by-<code>N</code>.
Elements are constructed by the storage type <code>bounded_array</code>, which need not initialise their value.</td>
</tr>
<tr>
<td><code>c_matrix&lt;T, M, N&gt;<br />&nbsp;&nbsp; m(size1, size2);</code></td>
<td>a dense matrix of values of type <code>T</code> with the given size.
The data is stored as an ordinary C++ array <code>T
data_[N][M]</code></td>
</tr>
<tr>
<td><code>vector_of_vector&lt;T [, F, A]&gt;<br />&nbsp;&nbsp; m(size1,
size2);</code></td>
<td>a dense matrix of values of type <code>T</code> with the given size.
The data is stored as a vector of vectors. The orientation
<code>F</code> defaults to <code>row_major</code>. The storage
type <code>S</code> defaults to
<code>unbounded_array&lt;unbounded_array&lt;T&gt;&nbsp;&gt;</code></td>
</tr>
<tr>
<td><code>zero_matrix&lt;T&gt;<br />&nbsp;&nbsp; m(size1, size2);</code></td>
<td>a zero matrix of type <code>T</code> with the given size.</td>
</tr>
<tr>
<td><code>identity_matrix&lt;T&gt;<br />&nbsp;&nbsp; m(size1, size2);</code></td>
<td>an identity matrix of type <code>T</code> with the given size.
The values are <code>v(i,j) = (i==j)?T(1):T()</code>.</td>
</tr>
<tr>
<td><code>scalar_matrix&lt;T&gt;<br />&nbsp;&nbsp; m(size1, size2,
value);</code></td>
<td>a matrix of type <code>T</code> with the given size that has the
value <code>value</code> everywhere.</td>
</tr>
<tr>
<td><code>triangular_matrix&lt;T [, TRI, F, A]&gt;<br />&nbsp;&nbsp;
m(size);</code></td>
<td>a triangular matrix of values of type <code>T</code> of
variable size. Only the nonzero elements are stored in the given
order <code>F</code>. ("triangular packed storage") The triangular
type <code>F</code> defaults to <code>lower</code>, the orientation
type <code>F</code> defaults to <code>row_major</code>.</td>
</tr>
<tr>
<td><code>banded_matrix&lt;T [, F, A]&gt;<br />&nbsp;&nbsp; m(size1, size2, n_lower,
n_upper);</code></td>
<td>a banded matrix of values of type <code>T</code> of variable
size with <code>n_lower</code> sub diagonals and
<code>n_upper</code> super diagonals. Only the nonzero elements are
stored in the given order <code>F</code>. ("packed storage")</td>
</tr>
<tr>
<td><code>symmetric_matrix&lt;T [, TRI, F, A]&gt;<br />&nbsp;&nbsp;
m(size);</code></td>
<td>a symmetric matrix of values of type <code>T</code> of
variable size. Only the given triangular matrix is stored in the
given order <code>F</code>.</td>
</tr>
<tr>
<td><code>hermitian_matrix&lt;T [, TRI, F, A]&gt;<br />&nbsp;&nbsp;
m(size);</code></td>
<td>a hermitian matrix of values of type <code>T</code> of
variable size. Only the given triangular matrix is stored using
the order <code>F</code>.</td>
</tr>
<tr>
<td><code>mapped_matrix&lt;T, [F, S]&gt;<br />&nbsp;&nbsp; m(size1, size2 [,
non_zeros]);</code></td>
<td>a sparse matrix of values of type <code>T</code> of variable
size. The sparse storage type <code>S</code> can be either <code>std::map&lt;size_t,
std::map&lt;size_t, T&gt;&nbsp;&gt;</code> or
<code>map_array&lt;size_t, map_array&lt;size_t,
T&gt;&nbsp;&gt;</code>.</td>
</tr>
<tr>
<td><code>sparse_vector_of_sparse_vector&lt;T, [F, C]&gt;<br />&nbsp;&nbsp; m(size1,
size2 [, non_zeros]);</code></td>
<td>a sparse matrix of values of type <code>T</code> of variable
size.</td>
</tr>
<tr>
<td><code>compressed_matrix&lt;T, [F, IB, IA, TA]&gt;<br />&nbsp;&nbsp; m(size1,
size2 [, non_zeros]);</code></td>
<td>a sparse matrix of values of type <code>T</code> of variable
size. The values are stored in compressed row/column storage.</td>
</tr>
<tr>
<td><code>coordinate_matrix&lt;T, [F, IB, IA, TA]&gt;<br />&nbsp;&nbsp; m(size1,
size2 [, non_zeros]);</code></td>
<td>a sparse matrix of values of type <code>T</code> of variable
size. The values are stored in 3 parallel array as triples (i, j,
value). More than one value for each pair of indices is possible,
the real value is the sum of all.</td>
</tr>
<tr>
<td><code>generalized_vector_of_vector&lt;T, F, A&gt;<br />&nbsp;&nbsp; m(size1,
size2 [, non_zeros]);</code></td>
<td>a sparse matrix of values of type <code>T</code> of variable
size. The values are stored as a vector of sparse vectors, e.g.
<code>generalized_vector_of_vector&lt;double, row_major,
unbounded_array&lt;coordinate_vector&lt;double&gt;&nbsp;&gt;&nbsp;&gt;</code></td>
</tr>
</tbody>
</table>
<p><em>Note:</em> the default types are defined in
<code>boost/numeric/ublas/fwd.hpp</code>.</p>
<h2><a id="matrix_proxies">Matrix Proxies</a></h2>
<table border="1" summary="matrix proxies">
<thead>
<tr>
<th width="30%">Definition</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>triangular_adaptor&lt;MAT, TRI&gt;<br />&nbsp;&nbsp; ta(m);</code></td>
<td>a triangular matrix referencing a selection of elements of the
matrix <code>m</code>.</td>
</tr>
<tr>
<td><code>symmetric_adaptor&lt;MAT, TRI&gt;<br />&nbsp;&nbsp; sa(m);</code></td>
<td>a symmetric matrix referencing a selection of elements of the
matrix <code>m</code>.</td>
</tr>
<tr>
<td><code>hermitian_adaptor&lt;MAT, TRI&gt;<br />&nbsp;&nbsp; ha(m);</code></td>
<td>a hermitian matrix referencing a selection of elements of the
matrix <code>m</code>.</td>
</tr>
<tr>
<td><code>banded_adaptor&lt;MAT&gt;<br />&nbsp;&nbsp; ba(m, n_lower,
n_upper);</code></td>
<td>a banded matrix referencing a selection of elements of the
matrix <code>m</code>.</td>
</tr>
<tr>
<td><code>matrix_range&lt;MAT, TRI&gt;<br />&nbsp;&nbsp; mr(m, range1,
range2);</code></td>
<td>a matrix referencing a submatrix of elements in the matrix
<code>m</code>.</td>
</tr>
<tr>
<td><code>matrix_slice&lt;MAT, TRI&gt;<br />&nbsp;&nbsp; ms(m, slice1,
slice2);</code></td>
<td>a matrix referencing a non continues submatrix of elements in
the matrix <code>m</code>.</td>
</tr>
</tbody>
</table>
<h2><a id="storage_layout">Special Storage Layouts</a></h2>
<p>The library supports conventional dense, packed and basic sparse
vector and matrix storage layouts. The description of the most
common constructions of vectors and matrices comes next.</p>
<table border="1" summary="storage layouts">
<tbody>
<tr>
<th width="30%">Construction</th>
<th>Comment</th>
</tr>
<tr>
<td><code>vector&lt;T,<br />
&nbsp;std::vector&lt;T&gt; &gt;<br />
&nbsp;&nbsp;v (size)</code></td>
<td>a dense vector, storage is provided by a standard
vector.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>vector&lt;T,<br />
&nbsp;unbounded_array&lt;T&gt; &gt;<br />
&nbsp;&nbsp;v (size)</code></td>
<td>a dense vector, storage is provided by a heap-based
array.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>vector&lt;T,<br />
&nbsp;bounded_array&lt;T, N&gt; &gt;<br />
&nbsp;&nbsp;v (size)</code></td>
<td>a dense vector, storage is provided by a stack-based
array.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>mapped_vector&lt;T,<br />
&nbsp;std::map&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;v (size, non_zeros)</code></td>
<td>a sparse vector, storage is provided by a standard
map.</td>
</tr>
<tr>
<td><code>mapped_vector&lt;T,<br />
&nbsp;map_array&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;v (size, non_zeros)</code></td>
<td>a sparse vector, storage is provided by a map
array.</td>
</tr>
<tr>
<td><code>matrix&lt;T,<br />
&nbsp;row_major,<br />
&nbsp;std::vector&lt;T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2)</code></td>
<td>a dense matrix, orientation is row major, storage is
provided by a standard vector.</td>
</tr>
<tr>
<td><code>matrix&lt;T,<br />
&nbsp;column_major,<br />
&nbsp;std::vector&lt;T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2)</code></td>
<td>a dense matrix, orientation is column major, storage
is provided by a standard vector.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>matrix&lt;T,<br />
&nbsp;row_major,<br />
&nbsp;unbounded_array&lt;T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2)</code></td>
<td>a dense matrix, orientation is row major, storage is
provided by a heap-based array.</td>
</tr>
<tr>
<td><code>matrix&lt;T,<br />
&nbsp;column_major,<br />
&nbsp;unbounded_array&lt;T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2)</code></td>
<td>a dense matrix, orientation is column major, storage
is provided by a heap-based array.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>matrix&lt;T,<br />
&nbsp;row_major,<br />
&nbsp;bounded_array&lt;T, N1 * N2&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2)</code></td>
<td>a dense matrix, orientation is row major, storage is
provided by a stack-based array.</td>
</tr>
<tr>
<td><code>matrix&lt;T,<br />
&nbsp;column_major,<br />
&nbsp;bounded_array&lt;T, N1 * N2&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2)</code></td>
<td>a dense matrix, orientation is column major, storage
is provided by a stack-based array.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>triangular_matrix&lt;T,<br />
&nbsp;row_major, F, A&gt;<br />
&nbsp;&nbsp;m (size)</code></td>
<td>a packed triangular matrix, orientation is row
major.</td>
</tr>
<tr>
<td><code>triangular_matrix&lt;T,<br />
&nbsp;column_major, F, A&gt;<br />
&nbsp;&nbsp;m (size)</code></td>
<td>a packed triangular matrix, orientation is column
major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>banded_matrix&lt;T,<br />
&nbsp;row_major, A&gt;<br />
&nbsp;&nbsp;m (size1, size2, lower, upper)</code></td>
<td>a packed banded matrix, orientation is row
major.</td>
</tr>
<tr>
<td><code>banded_matrix&lt;T,<br />
&nbsp;column_major, A&gt;<br />
&nbsp;&nbsp;m (size1, size2, lower, upper)</code></td>
<td>a packed banded matrix, orientation is column
major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>symmetric_matrix&lt;T,<br />
&nbsp;row_major, F, A&gt;<br />
&nbsp;&nbsp;m (size)</code></td>
<td>a packed symmetric matrix, orientation is row
major.</td>
</tr>
<tr>
<td><code>symmetric_matrix&lt;T,<br />
&nbsp;column_major, F, A&gt;<br />
&nbsp;&nbsp;m (size)</code></td>
<td>a packed symmetric matrix, orientation is column
major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>hermitian_matrix&lt;T,<br />
&nbsp;row_major, F, A&gt;<br />
&nbsp;&nbsp;m (size)</code></td>
<td>a packed hermitian matrix, orientation is row
major.</td>
</tr>
<tr>
<td><code>hermitian_matrix&lt;T,<br />
&nbsp;column_major, F, A&gt;<br />
&nbsp;&nbsp;m (size)</code></td>
<td>a packed hermitian matrix, orientation is column
major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>mapped_matrix&lt;T,<br />
&nbsp;row_major,<br />
&nbsp;std::map&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a sparse matrix, orientation is row major, storage
is provided by a standard map.</td>
</tr>
<tr>
<td><code>mapped_matrix&lt;T,<br />
&nbsp;column_major,<br />
&nbsp;std::map&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a sparse matrix, orientation is column major,
storage is provided by a standard map.</td>
</tr>
<tr>
<td><code>mapped_matrix&lt;T,<br />
&nbsp;row_major,<br />
&nbsp;map_array&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a sparse matrix, orientation is row major, storage
is provided by a map array.</td>
</tr>
<tr>
<td><code>mapped_matrix&lt;T,<br />
&nbsp;column_major,<br />
&nbsp;map_array&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a sparse matrix, orientation is column major,
storage is provided by a map array.</td>
</tr>
<tr>
<td><code>compressed_matrix&lt;T,<br />
&nbsp;row_major&gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a compressed matrix, orientation is row major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>compressed_matrix&lt;T,<br />
&nbsp;column_major&gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a compressed matrix, orientation is column
major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>coordinate_matrix&lt;T,<br />
&nbsp;row_major&gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a coordinate matrix, orientation is row major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>coordinate_matrix&lt;T,<br />
&nbsp;column_major&gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
<td>a coordinate matrix, orientation is column
major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
</tbody>
</table>
<hr />
<p>Copyright (&copy;) 2000-2004 Joerg Walter, Mathias Koch, Gunter
Winkler, Michael Stevens<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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/*
* Copyright 2000-2009 Michael Stevens, Mathias Koch,
* Joerg Walter, Gunter Winkler.
*
* Use, modification and distribution are subject to the
* Boost Software License, Version 1.0.
* (See accompanying file LICENSE_1_0.txt
* or copy at http://www.boost.org/LICENSE_1_0.txt).
*/
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<body>
<h1><img src="../../../../boost.png" align="middle" />Unbounded Array Storage</h1>
<div class="toc" id="toc"></div>
<h2><a name="unbounded_array"></a>Unbounded Array</h2>
<h4>Description</h4>
<p>The templated class <code>unbounded_array&lt;T, ALLOC&gt;</code> implements a unbounded storage array using an allocator.
The unbounded array is similar to a <code>std::vector</code> in that in can grow in size beyond any fixed bound.
However <code>unbounded_array</code> is aimed at optimal performance. Therefore <code>unbounded_array</code> does not model a
<code>Sequence</code> like <code>std::vector</code> does.
<p>When resized <code>unbounded_array</code> will reallocate it's storage even if the new size requirement is smaller. It is therefore inefficient to resize a <code>unbounded_array</code></p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/storage.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
unbounded_array&lt;double&gt; a (3);
for (unsigned i = 0; i &lt; a.size (); ++ i) {
a [i] = i;
std::cout &lt;&lt; a [i] &lt;&lt; std::endl;
}
}
</pre>
<h4>Definition</h4>
<p>Defined in the header storage.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the array.</td>
<td></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="storage_concept.html">Storage</a></p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of Storage.</p>
<h4>Public base classes</h4>
<p>None.</p>
<h4>Members</h4>
<ul>
<li>The description does not describe what the member actually does, this can be looked up
in the corresponding concept documentation, but instead contains a remark on the implementation of the
member inside this model of the concept.</li>
<li>Typography:
<ul>
<li>Members that are not part of the implemented concepts are <font color="blue">in blue</font>.</li>
</ul>
</li>
</ul>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Where defined</th>
<th>Description</th>
</tr>
<tr><td><code>value_type</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td></tr>
<tr><td><code>pointer</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>value_type*</code></td></tr>
<tr><td><code>const_pointer</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>const value_type*</code></td></tr>
<tr><td><code>reference</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>value_type&amp;</code></td></tr>
<tr><td><code>const_reference</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>const value_type&amp;</code></td></tr>
<tr><td><code>size_type</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>Alloc::size_type</code></td></tr>
<tr><td><code>difference_type</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>Alloc::difference_type</code></td></tr>
<tr><td><code>iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>pointer</code></td></tr>
<tr><td><code>const_iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>const_pointer</code></td></tr>
<tr><td><code>revere_iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>std::reverse_iterator&lt;iterator&gt;</code></td></tr>
<tr><td><code>const_revere_iterator</code></td><td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td><td>Defined as <code>std::reverse_iterator&lt;const_iterator&gt;</code></td></tr>
<tr><td><font color="blue">allocator_type</font></td><td></td><td>Defined as ALLOC</td></tr>
<tr>
<td><code><em>explicit</em> unbounded_array (<em>ALLOC &amp;a = ALLOC()</em>)</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Creates an <code>unbounded_array</code> that holds zero elements, using a specified allocator.</td>
</tr>
<tr>
<td><code><em>explicit</em> unbounded_array (size_type size<em>, ALLOC &amp;a = ALLOC()</em>)</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Creates a uninitialized <code>unbounded_array</code> that holds <code>size</code> elements, using a specified allocator. All the elements are default constructed.</td>
</tr>
<tr>
<td><code>unbounded_array (size_type size, const T&amp; init<em>, ALLOC&amp; a = ALLOC()</em>)</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Creates an initialized <code>unbounded_array</code> that holds <code>size</code> elements, using a specified allocator. All the elements are constructed from the <code>init</code> value.</td>
</tr>
<tr>
<td><code>unbounded_array (const unbounded_array &amp;a)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>~unbounded_array ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Deallocates the <code>unbounded_array</code> itself.</td>
</tr>
<tr>
<td><code>void resize (size_type n)</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Reallocates an <code>unbounded_array</code> to hold <code>n</code> elements. Values are uninitialised.</td>
</tr>
<tr>
<td><code>void resize(size_type n, const T&amp; t)</code></td>
<td><a href="storage_concept.html">Storage</a></td>
<td>Reallocates an <code>unbounded_array</code> to hold <code>n</code> elements. Values are copies of <code>t</code>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns the size of the <code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i) const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>const</code> reference of the <code>i</code> -th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>unbounded_array &amp;operator = (const unbounded_array &amp;a)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><font color="blue"><code>unbounded_array &amp;assign_temporary (unbounded_array &amp;a)</code></font></td>
<td></td>
<td>Assigns a temporary. May change the array <code>a</code>.</td>
</tr>
<tr>
<td><code>void swap (unbounded_array &amp;a)</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Swaps the contents of the arrays.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/Container.html">Container</a></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the beginning of the reversed <code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the end of the reversed <code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>reverse_iterator</code> pointing to the beginning of the reversed <code>unbounded_array</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td><a href="http://www.sgi.com/tech/stl/ReversibleContainer.html">Reversible Container</a></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of the reversed <code>unbounded_array</code>.</td>
</tr>
</tbody>
</table>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<title>Vector</title>
</head>
<body>
<h1><img src="../../../../boost.png" align="middle" />Vector</h1>
<div class="toc" id="toc"></div>
<h2><a name="vector"></a>Vector</h2>
<h4>Description</h4>
<p>The templated class <code>vector&lt;T, A&gt;</code> is the base
container adaptor for dense vectors. For a <em>n</em>-dimensional
vector and <em>0 &lt;= i &lt; n</em> every element
<em>v</em><sub><em>i</em></sub> is mapped to the <em>i-</em>th
element of the container.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v (3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = i;
std::cout &lt;&lt; v &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the vector.</td>
<td></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the <a href="storage_concept.html">Storage</a> array. <a href="#vector_1">[1]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#vector">Vector</a>,
<a href="http://www.sgi.com/tech/stl/RandomAccessContainer.html">RandomAccessContainer</a>
</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#vector">Vector</a>
and <a href="http://www.sgi.com/tech/stl/RandomAccessContainer.html">RandomAccessContainer</a>.</p>
<h4>Public base classes</h4>
<p><code>vector_container&lt;vector&lt;T, A&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Where defined</th>
<th>Description</th>
</tr>
<tr>
<td><code>value_type</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>reference</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>const_reference</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>size_type</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>difference_type</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>const_iterator</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>iterator</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>const_reverse_iterator</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>reverse_iterator</code>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td></td>
</tr>
<tr>
<td><code>array_type</code>
<td><a href="container_concept.html#vector">Vector</a></td>
<td></td>
</tr>
<tr>
<td><code>vector ()</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Allocates an uninitialized <code>vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>vector (size_type size)</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td>Allocates an uninitialized <code>vector</code> that holds
<code>size</code> elements.</td>
</tr>
<tr>
<td><code>vector (const vector &amp;v)</code></td>
<td></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector (const vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool preserve =
true)</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td>Reallocates a <code>vector</code> to hold <code>size</code>
elements. The existing elements of the <code>vector</code> are
preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns the size of the <code>vector</code>.</td>
</tr>
<tr>
<td><code>size_type max_size () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/RandomAccessContainer.html">RandomAccessContainer</a></td>
<td>Returns the upper bound on the size of the <code>vector</code>.</td>
</tr>
<tr>
<td><code>bool empty () const</code></td>
<td><a href="http://www.sgi.com/tech/stl/RandomAccessContainer.html">RandomAccessContainer</a></td>
<td>Equivilent to <code>size () == 0</code>.</td>
</tr>
<tr>
<td><code>const array_type&amp; data () const</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td></td>
</tr>
<tr>
<td><code>array_type&amp; data ()</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td></td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>const</code> reference of the <code>i</code>
-th element.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i) const</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td>Returns a <code>const</code> reference of the <code>i</code>
-th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>vector &amp;operator = (const vector &amp;v)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>vector &amp;assign_temporary (vector &amp;v)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Assigns a temporary. May change the vector <code>v</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector &amp;operator = (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector &amp;assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Assigns a vector expression to the vector. Left and right hand
side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector &amp;operator += (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>A computed assignment operator. Adds the vector expression to
the vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector &amp;plus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Adds a vector expression to the vector. Left and right hand
side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector &amp;operator -= (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>A computed assignment operator. Subtracts the vector expression
from the vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector &amp;minus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Subtracts a vector expression from the vector. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
vector &amp;operator *= (const AT &amp;at)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>A computed assignment operator. Multiplies the vector with a
scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
vector &amp;operator /= (const AT &amp;at)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>A computed assignment operator. Divides the vector through a
scalar.</td>
</tr>
<tr>
<td><code>void swap (vector &amp;v)</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Swaps the contents of the vectors.</td>
</tr>
<tr>
<td><code>void insert_element (size_type i, const_reference t)</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td>Inserts the value <code>t</code> at the <code>i</code>-th
element.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i)</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td>Erases the value at the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td><a href="container_concept.html#vector">Vector</a></td>
<td>Clears the vector.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>vector</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>vector</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td><a href="expression_concept.html#vector_expression">VectorExpression</a></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>vector</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="vector_1">[1]</a> Common parameters
for the Storage array are <code>unbounded_array&lt;T&gt;</code> ,
<code>bounded_array&lt;T&gt;</code> and
<code>std::vector&lt;T&gt;</code> .</p>
<h2><a name="unit_vector"></a>Unit Vector</h2>
<h4>Description</h4>
<p>The templated class <code>unit_vector&lt;T, ALLOC&gt;</code> represents
canonical unit vectors. For the <em>k</em>-th
<em>n</em>-dimensional canonical unit vector and <em>0 &lt;= i &lt;
n</em> holds <em>u</em><sup><em>k</em></sup><sub><em>i</em></sub>
<em>= 0</em>, if <em>i &lt;&gt; k</em>, and
<em>u</em><sup><em>k</em></sup><sub><em>i</em></sub> <em>=
1</em>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
for (int i = 0; i &lt; 3; ++ i) {
unit_vector&lt;double&gt; v (3, i);
std::cout &lt;&lt; v &lt;&lt; std::endl;
}
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the vector.</td>
<td><code>int</code></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator for size_type and difference_type.</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#vector">Vector</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of
<a href="container_concept.html#vector">Vector</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_container&lt;unit_vector&lt;T&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>unit_vector ()</code></td>
<td>Constructs an <code>unit_vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>unit_vector (size_type size, size_type index)</code></td>
<td>Constructs the <code>index</code>-th <code>unit_vector</code>
that holds <code>size</code> elements.</td>
</tr>
<tr>
<td><code>unit_vector (const unit_vector &amp;v)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool preserve =
true)</code></td>
<td>Resizes a <code>unit_vector</code> to hold <code>size</code>
elements. Therefore the existing elements of the
<code>unit_vector</code> are always preseved.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>unit_vector</code>.</td>
</tr>
<tr>
<td><code>size_type index () const</code></td>
<td>Returns the index of the <code>unit_vector</code>.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>unit_vector &amp;operator = (const unit_vector
&amp;v)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>unit_vector &amp;assign_temporary (unit_vector
&amp;v)</code></td>
<td>Assigns a temporary. May change the unit vector <code>v</code>
.</td>
</tr>
<tr>
<td><code>void swap (unit_vector &amp;v)</code></td>
<td>Swaps the contents of the unit vectors.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>unit_vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>unit_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>unit_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>unit_vector</code>.</td>
</tr>
</tbody>
</table>
<h2><a name="zero_vector"></a>Zero Vector</h2>
<h4>Description</h4>
<p>The templated class <code>zero_vector&lt;T, ALLOC&gt;</code> represents
zero vectors. For a <em>n</em>-dimensional zero vector and <em>0
&lt;= i &lt; n</em> holds <em>z</em><sub><em>i</em></sub> <em>=
0</em>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
zero_vector&lt;double&gt; v (3);
std::cout &lt;&lt; v &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the vector.</td>
<td><code>int</code></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator for size_type and difference_type.</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#vector">Vector</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of
<a href="container_concept.html#vector">Vector</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_container&lt;zero_vector&lt;T&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>zero_vector ()</code></td>
<td>Constructs a <code>zero_vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>zero_vector (size_type size)</code></td>
<td>Constructs a <code>zero_vector</code> that holds
<code>size</code> elements.</td>
</tr>
<tr>
<td><code>zero_vector (const zero_vector &amp;v)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool preserve =
true)</code></td>
<td>Resizes a <code>zero_vector</code> to hold <code>size</code>
elements. Therefore the existing elements of the
<code>zero_vector</code> are always preseved.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>zero_vector</code>.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>zero_vector &amp;operator = (const zero_vector
&amp;v)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>zero_vector &amp;assign_temporary (zero_vector
&amp;v)</code></td>
<td>Assigns a temporary. May change the zero vector <code>v</code>
.</td>
</tr>
<tr>
<td><code>void swap (zero_vector &amp;v)</code></td>
<td>Swaps the contents of the zero vectors.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>zero_vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>zero_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>zero_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>zero_vector</code>.</td>
</tr>
</tbody>
</table>
<h2><a name="scalar_vector"></a>Scalar Vector</h2>
<h4>Description</h4>
<p>The templated class <code>scalar_vector&lt;T, ALLOC&gt;</code>
represents scalar vectors. For a <em>n</em>-dimensional scalar
vector and <em>0 &lt;= i &lt; n</em> holds
<em>z</em><sub><em>i</em></sub> <em>= s</em>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
scalar_vector&lt;double&gt; v (3);
std::cout &lt;&lt; v &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the vector.</td>
<td><code>int</code></td>
</tr>
<tr>
<td><code>ALLOC</code></td>
<td>An STL Allocator for size_type and difference_type.</td>
<td>std::allocator</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#vector">Vector</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of
<a href="container_concept.html#vector">Vector</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_container&lt;scalar_vector&lt;T&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>scalar_vector ()</code></td>
<td>Constructs a <code>scalar_vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>scalar_vector (size_type size, const value_type
&amp;value)</code></td>
<td>Constructs a <code>scalar_vector</code> that holds
<code>size</code> elements each of the specified value.</td>
</tr>
<tr>
<td><code>scalar_vector (const scalar_vector &amp;v)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool preserve =
true)</code></td>
<td>Resizes a <code>scalar_vector</code> to hold <code>size</code>
elements. Therefore the existing elements of the
<code>scalar_vector</code> are always preseved.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>scalar_vector</code>.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>scalar_vector &amp;operator = (const scalar_vector
&amp;v)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>scalar_vector &amp;assign_temporary (scalar_vector
&amp;v)</code></td>
<td>Assigns a temporary. May change the scalar vector
<code>v</code> .</td>
</tr>
<tr>
<td><code>void swap (scalar_vector &amp;v)</code></td>
<td>Swaps the contents of the scalar vectors.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>scalar_vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>scalar_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>scalar_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>scalar_vector</code>.</td>
</tr>
</tbody>
</table>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<body>
<h1><img src="../../../../boost.png" align="middle" />Vector Expressions</h1>
<div class="toc" id="toc"></div>
<h2><a name="vector_expression"></a>Vector Expression</h2>
<h4>Description</h4>
<p>The templated class <code>vector_expression&lt;E&gt;</code>
is required to be a public base of all classes which model the Vector Expression concept.</p>
<h4>Definition</h4>
<p>Defined in the header expression_types.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>E</code></td>
<td>The type of the vector expression.</td>
<td>&nbsp;</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p>None. <u>Not a Vector Expression</u>!
</p>
<h4>Type requirements</h4>
<p>None.</p>
<h4>Public base classes</h4>
<p>None.</p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>const expression_type &amp;operator () ()
const</code></td>
<td>Returns a <code>const</code> reference of the expression.</td>
</tr>
<tr>
<td><code>expression_type &amp;operator () ()</code></td>
<td>Returns a reference of the expression.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p>The <code>range</code>, <code>slice</code> and <code>project</code> functions have been removed. Use the free functions defined in <a href="vector_proxy.html">vector proxy</a> instead.</p>
<h2><a name="vector_container"></a>Vector Container</h2>
<h4>Description</h4>
<p>The templated class <code>vector_container&lt;C&gt;</code>
is required to be a public base of all classes which model the Vector concept.
This includes the class <code>vector</code> itself.</p>
<h4>Definition</h4>
<p>Defined in the header expression_types.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>C</code></td>
<td>The type of the vector container.</td>
<td>&nbsp;</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p>None. <u>Not a Vector Expression OR Vector</u>!
</p>
<h4>Type requirements</h4>
<p>None.</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;C&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>const container_type &amp;operator () ()
const</code></td>
<td>Returns a <code>const</code> reference of the container.</td>
</tr>
<tr>
<td><code>container_type &amp;operator () ()</code></td>
<td>Returns a reference of the container.</td>
</tr>
</tbody>
</table>
<h2><a name="vector_references"></a>Vector References</h2>
<h3>Reference</h3>
<h4>Description</h4>
<p>The templated class <code>vector_reference&lt;E&gt;</code>
contains a reference to a vector expression.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>E</code></td>
<td>The type of the vector expression.</td>
<td>&nbsp;</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#vector_expression">Vector Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;vector_reference&lt;E&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>vector_reference (expression_type &amp;e)</code></td>
<td>Constructs a reference of the expression.</td>
</tr>
<tr>
<td><code>void resize (size_type size)</code></td>
<td>Resizes the expression to hold at most <code>size</code>
elements.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the expression.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the expression.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the expression.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the expression.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed expression.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed expression.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed expression.</td>
</tr>
</tbody>
</table>
<h2><a name="vector_operations"></a>Vector Operations</h2>
<h3>Unary Operation Description</h3>
<h4>Description</h4>
<p>The templated class <code>vector_unary&lt;E, F&gt;</code>
describes a unary vector operation.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>E</code></td>
<td>The type of the vector expression.</td>
<td>&nbsp;</td>
</tr>
<tr>
<td><code>F</code></td>
<td>The type of the operation.</td>
<td>&nbsp;</td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#vector_expression">Vector Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;vector_unary&lt;E, F&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>vector_unary (const expression_type &amp;e)</code></td>
<td>Constructs a description of the expression.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the expression.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the expression.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed expression.</td>
</tr>
</tbody>
</table>
<h3>Unary Operations</h3>
<h4>Prototypes</h4>
<pre>
<code>template&lt;class E, class F&gt;
struct vector_unary_traits {
typedef vector_unary&lt;typename E::const_closure_type, F&gt; expression_type;
typedef expression_type result_type;
};
// (- v) [i] = - v [i]
template&lt;class E&gt;
typename vector_unary_traits&lt;E, scalar_negate&lt;typename E::value_type&gt; &gt;::result_type
operator - (const vector_expression&lt;E&gt; &amp;e);
// (conj v) [i] = conj (v [i])
template&lt;class E&gt;
typename vector_unary_traits&lt;E, scalar_conj&lt;typename E::value_type&gt; &gt;::result_type
conj (const vector_expression&lt;E&gt; &amp;e);
// (real v) [i] = real (v [i])
template&lt;class E&gt;
typename vector_unary_traits&lt;E, scalar_real&lt;typename E::value_type&gt; &gt;::result_type
real (const vector_expression&lt;E&gt; &amp;e);
// (imag v) [i] = imag (v [i])
template&lt;class E&gt;
typename vector_unary_traits&lt;E, scalar_imag&lt;typename E::value_type&gt; &gt;::result_type
imag (const vector_expression&lt;E&gt; &amp;e);
// (trans v) [i] = v [i]
template&lt;class E&gt;
typename vector_unary_traits&lt;E, scalar_identity&lt;typename E::value_type&gt; &gt;::result_type
trans (const vector_expression&lt;E&gt; &amp;e);
// (herm v) [i] = conj (v [i])
template&lt;class E&gt;
typename vector_unary_traits&lt;E, scalar_conj&lt;typename E::value_type&gt; &gt;::result_type
herm (const vector_expression&lt;E&gt; &amp;e);</code>
</pre>
<h4>Description</h4>
<p><code>operator -</code> computes the additive inverse of a
vector expression. <code>conj</code> computes the complex conjugate
of a vector expression. <code>real</code> and <code>imag</code>
compute the real and imaginary parts of a vector expression.
<code>trans</code> computes the transpose of a vector expression.
<code>herm</code> computes the hermitian, i.e. the complex
conjugate of the transpose of a vector expression.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>E</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Preconditions</h4>
<p>None.</p>
<h4>Complexity</h4>
<p>Linear depending from the size of the vector expression.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;std::complex&lt;double&gt; &gt; v (3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = std::complex&lt;double&gt; (i, i);
std::cout &lt;&lt; - v &lt;&lt; std::endl;
std::cout &lt;&lt; conj (v) &lt;&lt; std::endl;
std::cout &lt;&lt; real (v) &lt;&lt; std::endl;
std::cout &lt;&lt; imag (v) &lt;&lt; std::endl;
std::cout &lt;&lt; trans (v) &lt;&lt; std::endl;
std::cout &lt;&lt; herm (v) &lt;&lt; std::endl;
}
</pre>
<h3>Binary Operation Description</h3>
<h4>Description</h4>
<p>The templated class <code>vector_binary&lt;E1, E2, F&gt;</code>
describes a binary vector operation.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>E1</code></td>
<td>The type of the first vector expression.</td>
<td></td>
</tr>
<tr>
<td><code>E2</code></td>
<td>The type of the second vector expression.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>The type of the operation.</td>
<td></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#vector_expression">Vector Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;vector_binary&lt;E1, E2, F&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>vector_binary (const expression1_type &amp;e1, const
expression2_type &amp;e2)</code></td>
<td>Constructs a description of the expression.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the expression.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the expression.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed expression.</td>
</tr>
</tbody>
</table>
<h3>Binary Operations</h3>
<h4>Prototypes</h4>
<pre>
<code>template&lt;class E1, class E2, class F&gt;
struct vector_binary_traits {
typedef vector_binary&lt;typename E1::const_closure_type,
typename E2::const_closure_type, F&gt; expression_type;
typedef expression_type result_type;
};
// (v1 + v2) [i] = v1 [i] + v2 [i]
template&lt;class E1, class E2&gt;
typename vector_binary_traits&lt;E1, E2, scalar_plus&lt;typename E1::value_type,
typename E2::value_type&gt; &gt;::result_type
operator + (const vector_expression&lt;E1&gt; &amp;e1,
const vector_expression&lt;E2&gt; &amp;e2);
// (v1 - v2) [i] = v1 [i] - v2 [i]
template&lt;class E1, class E2&gt;
typename vector_binary_traits&lt;E1, E2, scalar_minus&lt;typename E1::value_type,
typename E2::value_type&gt; &gt;::result_type
operator - (const vector_expression&lt;E1&gt; &amp;e1,
const vector_expression&lt;E2&gt; &amp;e2);</code>
</pre>
<h4>Description</h4>
<p><code>operator +</code> computes the sum of two vector
expressions. <code>operator -</code> computes the difference of two
vector expressions.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>E1</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
<li><code>E2</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Preconditions</h4>
<ul>
<li><code>e1 ().size () == e2 ().size ()</code></li>
</ul>
<h4>Complexity</h4>
<p>Linear depending from the size of the vector expressions.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v1 (3), v2 (3);
for (unsigned i = 0; i &lt; std::min (v1.size (), v2.size ()); ++ i)
v1 (i) = v2 (i) = i;
std::cout &lt;&lt; v1 + v2 &lt;&lt; std::endl;
std::cout &lt;&lt; v1 - v2 &lt;&lt; std::endl;
}
</pre>
<h3>Binary Outer Operation Description</h3>
<h4>Description</h4>
<p>The templated class <code>vector_matrix_binary&lt;E1, E2,
F&gt;</code> describes a binary outer vector operation.</p>
<h4>Definition</h4>
<p>Defined in the header matrix_expression.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>E1</code></td>
<td>The type of the first vector expression.</td>
<td></td>
</tr>
<tr>
<td><code>E2</code></td>
<td>The type of the second vector expression.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>The type of the operation.</td>
<td></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#matrix_expression">Matrix Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#matrix_expression">Matrix Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_expression&lt;vector_matrix_binary&lt;E1, E2, F&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>vector_matrix_binary (const expression1_type &amp;e1,
const expression2_type &amp;e2)</code></td>
<td>Constructs a description of the expression.</td>
</tr>
<tr>
<td><code>size_type size1 () const</code></td>
<td>Returns the number of rows.</td>
</tr>
<tr>
<td><code>size_type size2 () const</code></td>
<td>Returns the number of columns.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i, size_type j)
const</code></td>
<td>Returns the value of the <code>j</code>-th element in the
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the expression.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the expression.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the expression.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed expression.</td>
</tr>
</tbody>
</table>
<h3>Binary Outer Operations</h3>
<h4>Prototypes</h4>
<pre>
<code>template&lt;class E1, class E2, class F&gt;
struct vector_matrix_binary_traits {
typedef vector_matrix_binary&lt;typename E1::const_closure_type,
typename E2::const_closure_type, F&gt; expression_type;
typedef expression_type result_type;
};
// (outer_prod (v1, v2)) [i] [j] = v1 [i] * v2 [j]
template&lt;class E1, class E2&gt;
typename vector_matrix_binary_traits&lt;E1, E2, scalar_multiplies&lt;typename E1::value_type, typename E2::value_type&gt; &gt;::result_type
outer_prod (const vector_expression&lt;E1&gt; &amp;e1,
const vector_expression&lt;E2&gt; &amp;e2);</code>
</pre>
<h4>Description</h4>
<p><code>outer_prod</code> computes the outer product of two vector
expressions.</p>
<h4>Definition</h4>
<p>Defined in the header matrix_expression.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>E1</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
<li><code>E2</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Preconditions</h4>
<p>None.</p>
<h4>Complexity</h4>
<p>Quadratic depending from the size of the vector expressions.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/matrix.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v1 (3), v2 (3);
for (unsigned i = 0; i &lt; std::min (v1.size (), v2.size ()); ++ i)
v1 (i) = v2 (i) = i;
std::cout &lt;&lt; outer_prod (v1, v2) &lt;&lt; std::endl;
}
</pre>
<h3>Scalar Vector Operation Description</h3>
<h4>Description</h4>
<p>The templated classes <code>vector_binary_scalar1&lt;E1, E2,
F&gt;</code> and <code>vector_binary_scalar2&lt;E1, E2,
F&gt;</code> describe binary operations between a scalar and a
vector.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>E1/E2</code></td>
<td>The type of the scalar expression.</td>
<td></td>
</tr>
<tr>
<td><code>E2/E1</code></td>
<td>The type of the vector expression.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>The type of the operation.</td>
<td></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#vector_expression">Vector Expression</a>
.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;vector_binary_scalar1&lt;E1, E2,
F&gt; &gt;</code> and
<code>vector_expression&lt;vector_binary_scalar2&lt;E1, E2, F&gt;
&gt;</code> resp.</p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>vector_binary_scalar1 (const expression1_type &amp;e1,
const expression2_type &amp;e2)</code></td>
<td>Constructs a description of the expression.</td>
</tr>
<tr>
<td><code>vector_binary_scalar2 (const expression1_type &amp;e1,
const expression2_type &amp;e2)</code></td>
<td>Constructs a description of the expression.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the expression.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the expression.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed expression.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed expression.</td>
</tr>
</tbody>
</table>
<h3>Scalar Vector Operations</h3>
<h4>Prototypes</h4>
<pre>
<code>template&lt;class T1, class E2, class F&gt;
struct vector_binary_scalar1_traits {
typedef vector_binary_scalar1&lt;scalar_const_reference&lt;T1&gt;,
typename E2::const_closure_type, F&gt; expression_type;
typedef expression_type result_type;
};
// (t * v) [i] = t * v [i]
template&lt;class T1, class E2&gt;
typename vector_binary_scalar1_traits&lt;T1, E2, scalar_multiplies&lt;T1, typename E2::value_type&gt; &gt;::result_type
operator * (const T1 &amp;e1,
const vector_expression&lt;E2&gt; &amp;e2);
template&lt;class E1, class T2, class F&gt;
struct vector_binary_scalar2_traits {
typedef vector_binary_scalar2&lt;typename E1::const_closure_type,
scalar_const_reference&lt;T2&gt;, F&gt; expression_type;
typedef expression_type result_type;
};
// (v * t) [i] = v [i] * t
template&lt;class E1, class T2&gt;
typename vector_binary_scalar2_traits&lt;E1, T2, scalar_multiplies&lt;typename E1::value_type, T2&gt; &gt;::result_type
operator * (const vector_expression&lt;E1&gt; &amp;e1,
const T2 &amp;e2);
// (v / t) [i] = v [i] / t
template&lt;class E1, class T2&gt;
typename vector_binary_scalar2_traits&lt;E1, T2, scalar_divides&lt;typename E1::value_type, T2&gt; &gt;::result_type
operator / (const vector_expression&lt;E1&gt; &amp;e1,
const T2 &amp;e2);</code>
</pre>
<h4>Description</h4>
<p><code>operator *</code> computes the product of a scalar and a
vector expression. <code>operator /</code> multiplies the vector
with the reciprocal of the scalar.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>T1/T2</code> is a model of <a href=
"expression_concept.html#scalar_expression">Scalar Expression</a> .</li>
<li><code>E2/E1</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Preconditions</h4>
<p>None.</p>
<h4>Complexity</h4>
<p>Linear depending from the size of the vector expression.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v (3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = i;
std::cout &lt;&lt; 2.0 * v &lt;&lt; std::endl;
std::cout &lt;&lt; v * 2.0 &lt;&lt; std::endl;
}
</pre>
<h2><a name="vector_reductions"></a>Vector Reductions</h2>
<h3>Unary Reductions</h3>
<h4>Prototypes</h4>
<pre>
<code>template&lt;class E, class F&gt;
struct vector_scalar_unary_traits {
typedef typename F::result_type result_type;
};
// sum v = sum (v [i])
template&lt;class E&gt;
typename vector_scalar_unary_traits&lt;E, vector_sum&lt;typename E::value_type&gt; &gt;::result_type
sum (const vector_expression&lt;E&gt; &amp;e);
// norm_1 v = sum (abs (v [i]))
template&lt;class E&gt;
typename vector_scalar_unary_traits&lt;E, vector_norm_1&lt;typename E::value_type&gt; &gt;::result_type
norm_1 (const vector_expression&lt;E&gt; &amp;e);
// norm_2 v = sqrt (sum (v [i] * v [i]))
template&lt;class E&gt;
typename vector_scalar_unary_traits&lt;E, vector_norm_2&lt;typename E::value_type&gt; &gt;::result_type
norm_2 (const vector_expression&lt;E&gt; &amp;e);
// norm_inf v = max (abs (v [i]))
template&lt;class E&gt;
typename vector_scalar_unary_traits&lt;E, vector_norm_inf&lt;typename E::value_type&gt; &gt;::result_type
norm_inf (const vector_expression&lt;E&gt; &amp;e);
// index_norm_inf v = min (i: abs (v [i]) == max (abs (v [i])))
template&lt;class E&gt;
typename vector_scalar_unary_traits&lt;E, vector_index_norm_inf&lt;typename E::value_type&gt; &gt;::result_type
index_norm_inf (const vector_expression&lt;E&gt; &amp;e);</code>
</pre>
<h4>Description</h4>
<p><code>sum</code> computes the sum of the vector expression's
elements. <code>norm_1</code>, <code>norm_2</code> and
<code>norm_inf</code> compute the corresponding
<em>||.||</em><sub><em>1</em></sub>,
<em>||.||</em><sub><em>2</em></sub> and
<em>||.||</em><sub><em>inf</em></sub> vector norms.
<code>index_norm_1</code> computes the index of the vector
expression's first element having maximal absolute value.</p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>E</code> is a model of <a href=
"#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Preconditions</h4>
<p>None.</p>
<h4>Complexity</h4>
<p>Linear depending from the size of the vector expression.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v (3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = i;
std::cout &lt;&lt; sum (v) &lt;&lt; std::endl;
std::cout &lt;&lt; norm_1 (v) &lt;&lt; std::endl;
std::cout &lt;&lt; norm_2 (v) &lt;&lt; std::endl;
std::cout &lt;&lt; norm_inf (v) &lt;&lt; std::endl;
std::cout &lt;&lt; index_norm_inf (v) &lt;&lt; std::endl;
}
</pre>
<h3>Binary Reductions</h3>
<h4>Prototypes</h4>
<pre>
<code>template&lt;class E1, class E2, class F&gt;
struct vector_scalar_binary_traits {
typedef typename F::result_type result_type;
};
// inner_prod (v1, v2) = sum (v1 [i] * v2 [i])
template&lt;class E1, class E2&gt;
typename vector_scalar_binary_traits&lt;E1, E2, vector_inner_prod&lt;typename E1::value_type,
typename E2::value_type,
typename promote_traits&lt;typename E1::value_type,
typename E2::value_type&gt;::promote_type&gt; &gt;::result_type
inner_prod (const vector_expression&lt;E1&gt; &amp;e1,
const vector_expression&lt;E2&gt; &amp;e2);
template&lt;class E1, class E2&gt;
typename vector_scalar_binary_traits&lt;E1, E2, vector_inner_prod&lt;typename E1::value_type,
typename E2::value_type,
typename type_traits&lt;typename promote_traits&lt;typename E1::value_type,
typename E2::value_type&gt;::promote_type&gt;::precision_type&gt; &gt;::result_type
prec_inner_prod (const vector_expression&lt;E1&gt; &amp;e1,
const vector_expression&lt;E2&gt; &amp;e2);</code>
</pre>
<h4>Description</h4>
<p><code>inner_prod</code> computes the inner product of the vector
expressions. <code>prec_inner_prod</code> computes the double
precision inner product of the vector expressions<code>.</code></p>
<h4>Definition</h4>
<p>Defined in the header vector_expression.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>E1</code> is a model of <a href=
"#vector_expression">Vector Expression</a> .</li>
<li><code>E2</code> is a model of <a href=
"#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Preconditions</h4>
<ul>
<li><code>e1 ().size () == e2 ().size ()</code></li>
</ul>
<h4>Complexity</h4>
<p>Linear depending from the size of the vector expressions.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v1 (3), v2 (3);
for (unsigned i = 0; i &lt; std::min (v1.size (), v2.size ()); ++ i)
v1 (i) = v2 (i) = i;
std::cout &lt;&lt; inner_prod (v1, v2) &lt;&lt; std::endl;
}
</pre>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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<h2><a name="vector_range"></a>Vector Range</h2>
<h4>Description</h4>
<p>The templated class <code>vector_range&lt;V&gt;</code> allows
addressing a sub-range of a vector's element.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/vector_proxy.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v (3);
vector_range&lt;vector&lt;double&gt; &gt; vr (v, range (0, 3));
for (unsigned i = 0; i &lt; vr.size (); ++ i)
vr (i) = i;
std::cout &lt;&lt; vr &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector_proxy.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>V</code></td>
<td>The type of vector referenced.</td>
<td></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#vector_expression">Vector Expression</a>
.</p>
<p>If the specified range falls outside that of the index range of
the vector, then the <code>vector_range</code> is not a well formed
Vector Expression. That is, access to an element which is outside
of index range of the vector is <i>undefined</i>.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;vector_range&lt;V&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>vector_range (vector_type &amp;data, const range
&amp;r)</code></td>
<td>Constructs a sub vector.</td>
</tr>
<tr>
<td><code>size_type start () const</code></td>
<td>Returns the start of the sub vector.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the sub vector.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>vector_range &amp;operator = (const vector_range
&amp;vr)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>vector_range &amp;assign_temporary (vector_range
&amp;vr)</code></td>
<td>Assigns a temporary. May change the vector range
<code>vr</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_range &amp;operator = (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_range &amp;assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a vector expression to the sub vector. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_range &amp;operator += (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the vector expression to
the sub vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_range &amp;plus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a vector expression to the sub vector. Left and right hand
side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_range &amp;operator -= (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the vector expression
from the sub vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_range &amp;minus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a vector expression from the sub vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
vector_range &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the sub vector with
a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
vector_range &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the sub vector through
a scalar.</td>
</tr>
<tr>
<td><code>void swap (vector_range &amp;vr)</code></td>
<td>Swaps the contents of the sub vectors.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>vector_range</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>vector_range</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>vector_range</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>vector_range</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>vector_range</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>vector_range</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>vector_range</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>vector_range</code>.</td>
</tr>
</tbody>
</table>
<h3>Simple Projections</h3>
<h4>Description</h4>
<p>The free <code>subrange</code> functions support the construction
of vector ranges.</p>
<h4>Prototypes</h4>
<pre><code>
template&lt;class V&gt;
vector_range&lt;V&gt; subrange (V &amp;data,
V::size_type start, V::size_type stop);
template&lt;class V&gt;
const vector_range&lt;const V&gt; subrange (const V &amp;data,
V::size_type start, V::size_type stop);
</code></pre>
<h3>Generic Projections</h3>
<h4>Description</h4>
<p>The free <code>project</code> functions support the construction
of vector ranges. Existing <code>matrix_range</code>'s can be composed with a further range. The resulting range is computed using this existing range's <code>compose</code> function.</p>
<h4>Prototypes</h4>
<pre><code>
template&lt;class V&gt;
vector_range&lt;V&gt; project (V &amp;data, const range &amp;r);
template&lt;class V&gt;
const vector_range&lt;const V&gt; project (const V &amp;data, const range &amp;r);
template&lt;class V&gt;
vector_range&lt;V&gt; project (vector_range&lt;V&gt; &amp;data, const range &amp;r);
template&lt;class V&gt;
const vector_range&lt;V&gt; project (const vector_range&lt;V&gt; &amp;data, const range &amp;r);
</code></pre>
<h4>Definition</h4>
<p>Defined in the header vector_proxy.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>V</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Complexity</h4>
<p>Linear depending from the size of the range.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/vector_proxy.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v (3);
for (int i = 0; i &lt; 3; ++ i)
project (v, range (0, 3)) (i) = i;
std::cout &lt;&lt; project (v, range (0, 3)) &lt;&lt; std::endl;
}
</pre>
<h2><a name="vector_slice"></a>Vector Slice</h2>
<h4>Description</h4>
<p>The templated class <code>vector_slice&lt;V&gt;</code> allows
addressing a slice of a vector.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/vector_proxy.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v (3);
vector_slice&lt;vector&lt;double&gt; &gt; vs (v, slice (0, 1, 3));
for (unsigned i = 0; i &lt; vs.size (); ++ i)
vs (i) = i;
std::cout &lt;&lt; vs &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector_proxy.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>V</code></td>
<td>The type of vector referenced.</td>
<td></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="expression_concept.html#vector_expression">Vector Expression</a>
.</p>
<p>If the specified slice falls outside that of the index range of
the vector, then the <code>vector_slice</code> is not a well formed
Vector Expression. That is, access to an element which is outside
of index range of the vector is <i>undefined</i>.</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;vector_slice&lt;V&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>vector_slice (vector_type &amp;data, const slice
&amp;s)</code></td>
<td>Constructs a sub vector.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the sub vector.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>vector_slice &amp;operator = (const vector_slice
&amp;vs)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>vector_slice &amp;assign_temporary (vector_slice
&amp;vs)</code></td>
<td>Assigns a temporary. May change the vector slice
<code>vs</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_slice &amp;operator = (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_slice &amp;assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a vector expression to the sub vector. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_slice &amp;operator += (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the vector expression to
the sub vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_slice &amp;plus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a vector expression to the sub vector. Left and right hand
side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_slice &amp;operator -= (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the vector expression
from the sub vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
vector_slice &amp;minus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a vector expression from the sub vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
vector_slice &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the sub vector with
a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
vector_slice &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the sub vector through
a scalar.</td>
</tr>
<tr>
<td><code>void swap (vector_slice &amp;vs)</code></td>
<td>Swaps the contents of the sub vectors.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>vector_slice</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>vector_slice</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>vector_slice</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>vector_slice</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>vector_slice</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>vector_slice</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>vector_slice</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>vector_slice</code>.</td>
</tr>
</tbody>
</table>
<h3>Simple Projections</h3>
<h4>Description</h4>
<p>The free <code>subslice</code> functions support the construction
of vector slices.</p>
<h4>Prototypes</h4>
<pre><code>
template&lt;class V&gt;
vector_slice&lt;V&gt; subslice (V &amp;data,
V::size_type start, V::difference_type stride, V::size_type size);
template&lt;class V&gt;
const vector_slice&lt;const V&gt; subslice (const V &amp;data,
V::size_type start, V::difference_type stride, V::size_type size);
</code></pre>
<h3>Generic Projections</h3>
<h4>Description</h4>
<p>The free <code>project</code> functions support the construction
of vector slices. Existing <code>vector_slice</code>'s can be composed with a further range or slices. The resulting slice is computed using this existing slices's <code>compose</code> function.</p>
<h4>Prototypes</h4>
<pre><code>
template&lt;class V&gt;
vector_slice&lt;V&gt; project (V &amp;data, const slice &amp;s);
template&lt;class V&gt;
const vector_slice&lt;const V&gt; project (const V &amp;data, const slice &amp;s);
template&lt;class V&gt;
vector_slice&lt;V&gt; project (vector_slice&lt;V&gt; &amp;data, const range &amp;r);
template&lt;class V&gt;
const vector_slice&lt;V&gt; project (const vector_slice&lt;V&gt; &amp;data, const range &amp;r);
template&lt;class V&gt;
vector_slice&lt;V&gt; project (vector_slice&lt;V&gt; &amp;data, const slice &amp;s);
template&lt;class V&gt;
const vector_slice&lt;V&gt; project (const vector_slice&lt;V&gt; &amp;data, const slice &amp;s);
</code></pre>
<h4>Definition</h4>
<p>Defined in the header vector_proxy.hpp.</p>
<h4>Type requirements</h4>
<ul>
<li><code>V</code> is a model of <a href=
"expression_concept.html#vector_expression">Vector Expression</a> .</li>
</ul>
<h4>Complexity</h4>
<p>Linear depending from the size of the slice.</p>
<h4>Examples</h4>
<pre>
#include &lt;boost/numeric/ublas/vector.hpp&gt;
#include &lt;boost/numeric/ublas/vector_proxy.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
vector&lt;double&gt; v (3);
for (int i = 0; i &lt; 3; ++ i)
project (v, slice (0, 1, 3)) (i) = i;
std::cout &lt;&lt; project (v, slice (0, 1, 3)) &lt;&lt; std::endl;
}
</pre>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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"HTML Tidy for Linux/x86 (vers 1st March 2004), see www.w3.org" />
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<h1><img src="../../../../boost.png" align="middle" />Sparse Vector</h1>
<div class="toc" id="toc"></div>
<h2><a name="mapped_vector"></a>Mapped Vector</h2>
<h4>Description</h4>
<p>The templated class <code>mapped_vector&lt;T, A&gt;</code> is
the base container adaptor for sparse vectors using element maps. For a
<em>n</em>-dimensional sparse vector and <em>0 &lt;= i &lt; n</em>
the non-zero elements <em>v</em><sub><em>i</em></sub> are mapped to
consecutive elements of the associative container, i.e. for
elements <em>k</em> =
<em>v</em><sub><em>i</em></sub><sub><sub><em>1</em></sub></sub>and
<em>k + 1 =
v</em><sub><em>i</em></sub><sub><sub><em>2</em></sub></sub>of the
container holds <em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector_sparse.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
mapped_vector&lt;double&gt; v (3, 3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = i;
std::cout &lt;&lt; v &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the mapped vector.</td>
<td></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a href=
"#mapped_vector_1">[1]</a></td>
<td><code>map_std&lt;std::size_t, T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#vector">Vector</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#vector">Vector</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_container&lt;mapped_vector&lt;T, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>mapped_vector ()</code></td>
<td>Allocates a <code>mapped_vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>mapped_vector (size_type size, size_type
non_zeros = 0)</code></td>
<td>Allocates a <code>mapped_vector</code> that holds at most
<code>size</code> elements.</td>
</tr>
<tr>
<td><code>mapped_vector (const mapped_vector &amp;v)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_vector (size_type non_zeros, const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool
preserve = true)</code></td>
<td>Reallocates a <code>mapped_vector</code> to hold at most
<code>size</code> elements. The existing elements of the
<code>mapped_vector</code> are preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>mapped_vector &amp;operator = (const mapped_vector
&amp;v)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>mapped_vector &amp;assign_temporary (mapped_vector
&amp;v)</code></td>
<td>Assigns a temporary. May change the mapped vector
<code>v</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_vector &amp;operator = (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_vector &amp;assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a vector expression to the mapped vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_vector &amp;operator += (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the vector expression to
the mapped vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_vector &amp;plus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a vector expression to the mapped vector. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_vector &amp;operator -= (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the vector expression
from the mapped vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
mapped_vector &amp;minus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a vector expression from the mapped vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
mapped_vector &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the mapped vector
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
mapped_vector &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the mapped vector
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (mapped_vector &amp;v)</code></td>
<td>Swaps the contents of the mapped vectors.</td>
</tr>
<tr>
<td><code>true_reference insert_element (size_type i, const_reference t)</code></td>
<td>Inserts the value <code>t</code> at the <code>i</code>-th
element. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i)</code></td>
<td>Erases the value at the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the mapped vector.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>mapped_vector</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="mapped_vector_1">[1]</a> Supported
parameters for the adapted array are
<code>map_array&lt;std::size_t, T&gt;</code> and
<code>map_std&lt;std::size_t, T&gt;</code>. The latter is
equivalent to <code>std::map&lt;std::size_t, T&gt;</code>.</p>
<h2><a name="compressed_vector"></a>Compressed Vector</h2>
<h4>Description</h4>
<p>The templated class <code>compressed_vector&lt;T, IB, IA,
TA&gt;</code> is the base container adaptor for compressed vectors.
For a <em>n</em>-dimensional compressed vector and <em>0 &lt;= i
&lt; n</em> the non-zero elements <em>v</em><sub><em>i</em></sub>
are mapped to consecutive elements of the index and value
container, i.e. for elements <em>k</em> =
<em>v</em><sub><em>i</em></sub><sub><sub><em>1</em></sub></sub>and
<em>k + 1 =
v</em><sub><em>i</em></sub><sub><sub><em>2</em></sub></sub>of these
containers holds <em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector_sparse.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
compressed_vector&lt;double&gt; v (3, 3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = i;
std::cout &lt;&lt; v &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the compressed vector.</td>
<td></td>
</tr>
<tr>
<td><code>IB</code></td>
<td>The index base of the compressed vector. <a href=
"#compressed_vector_1">[1]</a></td>
<td><code>0</code></td>
</tr>
<tr>
<td><code>IA</code></td>
<td>The type of the adapted array for indices. <a href=
"#compressed_vector_2">[2]</a></td>
<td><code>unbounded_array&lt;std::size_t&gt;</code></td>
</tr>
<tr>
<td><code>TA</code></td>
<td>The type of the adapted array for values. <a href=
"#compressed_vector_2">[2]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#vector">Vector</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#vector">Vector</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_container&lt;compressed_vector&lt;T, IB, IA,
TA&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>compressed_vector ()</code></td>
<td>Allocates a <code>compressed_vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>compressed_vector (size_type size, size_type
non_zeros)</code></td>
<td>Allocates a <code>compressed_vector</code> that holds at most
<code>size</code> elements.</td>
</tr>
<tr>
<td><code>compressed_vector (const compressed_vector
&amp;v)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_vector (size_type non_zeros, const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool
preserve = true)</code></td>
<td>Reallocates a <code>compressed_vector</code> to hold at most
<code>size</code> elements. The existing elements of the
<code>compress_vector</code> are preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>compressed_vector &amp;operator = (const
compressed_vector &amp;v)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>compressed_vector &amp;assign_temporary
(compressed_vector &amp;v)</code></td>
<td>Assigns a temporary. May change the compressed vector
<code>v</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_vector &amp;operator = (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_vector &amp;assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a vector expression to the compressed vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_vector &amp;operator += (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the vector expression to
the compressed vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_vector &amp;plus_assign (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a vector expression to the compressed vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_vector &amp;operator -= (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the vector expression
from the compressed vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
compressed_vector &amp;minus_assign (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a vector expression from the compressed vector. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
compressed_vector &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the compressed
vector with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
compressed_vector &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the compressed vector
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (compressed_vector &amp;v)</code></td>
<td>Swaps the contents of the compressed vectors.</td>
</tr>
<tr>
<td><code>true_reference insert_element (size_type i, const_reference t)</code></td>
<td>Inserts the value <code>t</code> at the <code>i</code>-th
element. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i)</code></td>
<td>Erases the value at the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the compressed vector.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>compressed_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>compressed_vector</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="compressed_vector_1">[1]</a>
Supported parameters for the index base are <code>0</code> and
<code>1</code> at least.</p>
<p><a name="compressed_vector_2">[2]</a>
Supported parameters for the adapted array are
<code>unbounded_array&lt;&gt;</code> ,
<code>bounded_array&lt;&gt;</code> and
<code>std::vector&lt;&gt;</code> .</p>
<h2><a name="coordinate_vector"></a>Coordinate Vector</h2>
<h4>Description</h4>
<p>The templated class <code>coordinate_vector&lt;T, IB, IA,
TA&gt;</code> is the base container adaptor for compressed vectors.
For a <em>n</em>-dimensional sorted coordinate vector and <em>0
&lt;= i &lt; n</em> the non-zero elements
<em>v</em><sub><em>i</em></sub> are mapped to consecutive elements
of the index and value container, i.e. for elements <em>k</em> =
<em>v</em><sub><em>i</em></sub><sub><sub><em>1</em></sub></sub>and
<em>k + 1 =
v</em><sub><em>i</em></sub><sub><sub><em>2</em></sub></sub>of these
containers holds <em>i</em><sub><em>1</em></sub> <em>&lt;
i</em><sub><em>2</em></sub>.</p>
<h4>Example</h4>
<pre>
#include &lt;boost/numeric/ublas/vector_sparse.hpp&gt;
#include &lt;boost/numeric/ublas/io.hpp&gt;
int main () {
using namespace boost::numeric::ublas;
coordinate_vector&lt;double&gt; v (3, 3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = i;
std::cout &lt;&lt; v &lt;&lt; std::endl;
}
</pre>
<h4>Definition</h4>
<p>Defined in the header vector_sparse.hpp.</p>
<h4>Template parameters</h4>
<table border="1" summary="parameters">
<tbody>
<tr>
<th>Parameter</th>
<th>Description</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the coordinate vector.</td>
<td></td>
</tr>
<tr>
<td><code>IB</code></td>
<td>The index base of the coordinate vector. <a href=
"#coordinate_vector_1">[1]</a></td>
<td><code>0</code></td>
</tr>
<tr>
<td><code>IA</code></td>
<td>The type of the adapted array for indices. <a href=
"#coordinate_vector_2">[2]</a></td>
<td><code>unbounded_array&lt;std::size_t&gt;</code></td>
</tr>
<tr>
<td><code>TA</code></td>
<td>The type of the adapted array for values. <a href=
"#coordinate_vector_2">[2]</a></td>
<td><code>unbounded_array&lt;T&gt;</code></td>
</tr>
</tbody>
</table>
<h4>Model of</h4>
<p><a href="container_concept.html#vector">Vector</a> .</p>
<h4>Type requirements</h4>
<p>None, except for those imposed by the requirements of <a href=
"container_concept.html#vector">Vector</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_container&lt;coordinate_vector&lt;T, IB, IA,
TA&gt; &gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
<tbody>
<tr>
<th>Member</th>
<th>Description</th>
</tr>
<tr>
<td><code>coordinate_vector ()</code></td>
<td>Allocates a <code>coordinate_vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>coordinate_vector (size_type size, size_type
non_zeros)</code></td>
<td>Allocates a <code>coordinate_vector</code> that holds at most
<code>size</code> elements.</td>
</tr>
<tr>
<td><code>coordinate_vector (const coordinate_vector
&amp;v)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_vector (size_type non_zeros, const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool
preserve = true)</code></td>
<td>Reallocates a <code>coordinate_vector</code> to hold at most
<code>size</code> elements. The existing elements of the
<code>coordinate_vector</code> are preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator () (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>const_reference operator [] (size_type i)
const</code></td>
<td>Returns the value of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>reference operator [] (size_type i)</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>coordinate_vector &amp;operator = (const
coordinate_vector &amp;v)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>coordinate_vector &amp;assign_temporary
(coordinate_vector &amp;v)</code></td>
<td>Assigns a temporary. May change the coordinate vector
<code>v</code>.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_vector &amp;operator = (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_vector &amp;assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a vector expression to the coordinate vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_vector &amp;operator += (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Adds the vector expression to
the coordinate vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_vector &amp;plus_assign (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Adds a vector expression to the coordinate vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_vector &amp;operator -= (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the vector expression
from the coordinate vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
coordinate_vector &amp;minus_assign (const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>Subtracts a vector expression from the coordinate vector. Left
and right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
coordinate_vector &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the coordinate
vector with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
coordinate_vector &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the coordinate vector
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (coordinate_vector &amp;v)</code></td>
<td>Swaps the contents of the coordinate vectors.</td>
</tr>
<tr>
<td><code>true_reference insert_element (size_type i, const_reference t)</code></td>
<td>Inserts the value <code>t</code> at the <code>i</code>-th
element. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void append_element (size_type i, size_type j, const_reference t)</code></td>
<td>Appends the value <code>t</code> at the <code>i</code>-th element.
Duplicate elements can be appended to a <code>coordinate_vector</code>. They are merged into a single
arithmetically summed element by the <code>sort</code> function.</td>
</tr>
<tr>
<td><code>void erase_element (size_type i)</code></td>
<td>Erases the value at the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the coordinate vector.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>coordinate_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>coordinate_vector</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="coordinate_vector_1">[1]</a>
Supported parameters for the index base are <code>0</code> and
<code>1</code> at least.</p>
<p><a name="coordinate_vector_2">[2]</a>
Supported parameters for the adapted array are
<code>unbounded_array&lt;&gt;</code> ,
<code>bounded_array&lt;&gt;</code> and
<code>std::vector&lt;&gt;</code> .</p>
<hr />
<p>Copyright (&copy;) 2000-2002 Joerg Walter, Mathias Koch<br />
Use, modification and distribution are subject to the
Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt
or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
http://www.boost.org/LICENSE_1_0.txt
</a>).
</p>
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