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448 lines
18 KiB
C++
448 lines
18 KiB
C++
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// Copyright Christopher Kormanyos 2013.
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// Copyright Paul A. Bristow 2013.
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// Copyright John Maddock 2013.
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// Distributed under the Boost Software License, Version 1.0.
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// (See accompanying file LICENSE_1_0.txt or
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// copy at http://www.boost.org/LICENSE_1_0.txt).
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#ifdef _MSC_VER
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# pragma warning (disable : 4512) // assignment operator could not be generated.
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# pragma warning (disable : 4996) // assignment operator could not be generated.
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#endif
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#include <iostream>
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#include <limits>
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#include <vector>
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#include <algorithm>
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#include <iomanip>
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#include <iterator>
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// Weisstein, Eric W. "Bessel Function Zeros." From MathWorld--A Wolfram Web Resource.
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// http://mathworld.wolfram.com/BesselFunctionZeros.html
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// Test values can be calculated using [@wolframalpha.com WolframAplha]
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// See also http://dlmf.nist.gov/10.21
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//[bessel_zero_example_1
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/*`This example demonstrates calculating zeros of the Bessel, Neumann and Airy functions.
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It also shows how Boost.Math and Boost.Multiprecision can be combined to provide
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a many decimal digit precision. For 50 decimal digit precision we need to include
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*/
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#include <boost/multiprecision/cpp_dec_float.hpp>
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/*`and a `typedef` for `float_type` may be convenient
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(allowing a quick switch to re-compute at built-in `double` or other precision)
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*/
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typedef boost::multiprecision::cpp_dec_float_50 float_type;
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//`To use the functions for finding zeros of the functions we need
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#include <boost/math/special_functions/bessel.hpp>
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//`This file includes the forward declaration signatures for the zero-finding functions:
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// #include <boost/math/special_functions/math_fwd.hpp>
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/*`but more details are in the full documentation, for example at
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[@http://www.boost.org/doc/libs/1_53_0/libs/math/doc/sf_and_dist/html/math_toolkit/special/bessel/bessel_over.html Boost.Math Bessel functions]
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*/
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/*`This example shows obtaining both a single zero of the Bessel function,
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and then placing multiple zeros into a container like `std::vector` by providing an iterator.
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The signature of the single value function is:
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template <class T>
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inline typename detail::bessel_traits<T, T, policies::policy<> >::result_type
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cyl_bessel_j_zero(T v, // Floating-point value for Jv.
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int m); // start index.
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The result type is controlled by the floating-point type of parameter `v`
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(but subject to the usual __precision_policy and __promotion_policy).
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The signature of multiple zeros function is:
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template <class T, class OutputIterator>
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inline OutputIterator cyl_bessel_j_zero(T v, // Floating-point value for Jv.
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int start_index, // 1-based start index.
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unsigned number_of_zeros,
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OutputIterator out_it); // iterator into container for zeros.
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There is also a version which allows control of the __policy_section for error handling and precision.
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template <class T, class OutputIterator, class Policy>
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inline OutputIterator cyl_bessel_j_zero(T v, // Floating-point value for Jv.
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int start_index, // 1-based start index.
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unsigned number_of_zeros,
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OutputIterator out_it,
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const Policy& pol); // iterator into container for zeros.
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*/
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//] [/bessel_zero_example_1]
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//[bessel_zero_example_iterator_1]
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/*`We use the `cyl_bessel_j_zero` output iterator parameter `out_it`
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to create a sum of 1/zeros[super 2] by defining a custom output iterator:
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*/
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template <class T>
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struct output_summation_iterator
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{
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output_summation_iterator(T* p) : p_sum(p)
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{}
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output_summation_iterator& operator*()
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{ return *this; }
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output_summation_iterator& operator++()
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{ return *this; }
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output_summation_iterator& operator++(int)
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{ return *this; }
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output_summation_iterator& operator = (T const& val)
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{
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*p_sum += 1./ (val * val); // Summing 1/zero^2.
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return *this;
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}
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private:
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T* p_sum;
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};
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//] [/bessel_zero_example_iterator_1]
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int main()
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{
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try
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{
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//[bessel_zero_example_2]
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/*`[tip It is always wise to place code using Boost.Math inside try'n'catch blocks;
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this will ensure that helpful error messages can be shown when exceptional conditions arise.]
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First, evaluate a single Bessel zero.
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The precision is controlled by the float-point type of template parameter `T` of `v`
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so this example has `double` precision, at least 15 but up to 17 decimal digits (for the common 64-bit double).
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*/
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double root = boost::math::cyl_bessel_j_zero(0.0, 1);
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// Displaying with default precision of 6 decimal digits:
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std::cout << "boost::math::cyl_bessel_j_zero(0.0, 1) " << root << std::endl; // 2.40483
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// And with all the guaranteed (15) digits:
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std::cout.precision(std::numeric_limits<double>::digits10);
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std::cout << "boost::math::cyl_bessel_j_zero(0.0, 1) " << root << std::endl; // 2.40482555769577
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/*`But note that because the parameter `v` controls the precision of the result,
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`v` [*must be a floating-point type].
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So if you provide an integer type, say 0, rather than 0.0, then it will fail to compile thus:
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``
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root = boost::math::cyl_bessel_j_zero(0, 1);
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``
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with this error message
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``
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error C2338: Order must be a floating-point type.
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``
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Optionally, we can use a policy to ignore errors, C-style, returning some value
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perhaps infinity or NaN, or the best that can be done. (See __user_error_handling).
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To create a (possibly unwise!) policy that ignores all errors:
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*/
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typedef boost::math::policies::policy
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<
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boost::math::policies::domain_error<boost::math::policies::ignore_error>,
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boost::math::policies::overflow_error<boost::math::policies::ignore_error>,
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boost::math::policies::underflow_error<boost::math::policies::ignore_error>,
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boost::math::policies::denorm_error<boost::math::policies::ignore_error>,
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boost::math::policies::pole_error<boost::math::policies::ignore_error>,
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boost::math::policies::evaluation_error<boost::math::policies::ignore_error>
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> ignore_all_policy;
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double inf = std::numeric_limits<double>::infinity();
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double nan = std::numeric_limits<double>::quiet_NaN();
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std::cout << "boost::math::cyl_bessel_j_zero(-1.0, 0) " << std::endl;
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double dodgy_root = boost::math::cyl_bessel_j_zero(-1.0, 0, ignore_all_policy());
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std::cout << "boost::math::cyl_bessel_j_zero(-1.0, 1) " << dodgy_root << std::endl; // 1.#QNAN
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double inf_root = boost::math::cyl_bessel_j_zero(inf, 1, ignore_all_policy());
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std::cout << "boost::math::cyl_bessel_j_zero(inf, 1) " << inf_root << std::endl; // 1.#QNAN
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double nan_root = boost::math::cyl_bessel_j_zero(nan, 1, ignore_all_policy());
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std::cout << "boost::math::cyl_bessel_j_zero(nan, 1) " << nan_root << std::endl; // 1.#QNAN
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/*`Another version of `cyl_bessel_j_zero` allows calculation of multiple zeros with one call,
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placing the results in a container, often `std::vector`.
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For example, generate five `double` roots of J[sub v] for integral order 2.
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showing the same results as column J[sub 2](x) in table 1 of
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[@ http://mathworld.wolfram.com/BesselFunctionZeros.html Wolfram Bessel Function Zeros].
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*/
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unsigned int n_roots = 5U;
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std::vector<double> roots;
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boost::math::cyl_bessel_j_zero(2.0, 1, n_roots, std::back_inserter(roots));
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std::copy(roots.begin(),
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roots.end(),
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std::ostream_iterator<double>(std::cout, "\n"));
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/*`Or generate 50 decimal digit roots of J[sub v] for non-integral order `v = 71/19`.
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We set the precision of the output stream and show trailing zeros to display a fixed 50 decimal digits.
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*/
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std::cout.precision(std::numeric_limits<float_type>::digits10); // 50 decimal digits.
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std::cout << std::showpoint << std::endl; // Show trailing zeros.
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float_type x = float_type(71) / 19;
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float_type r = boost::math::cyl_bessel_j_zero(x, 1); // 1st root.
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std::cout << "x = " << x << ", r = " << r << std::endl;
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r = boost::math::cyl_bessel_j_zero(x, 20U); // 20th root.
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std::cout << "x = " << x << ", r = " << r << std::endl;
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std::vector<float_type> zeros;
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boost::math::cyl_bessel_j_zero(x, 1, 3, std::back_inserter(zeros));
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std::cout << "cyl_bessel_j_zeros" << std::endl;
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// Print the roots to the output stream.
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std::copy(zeros.begin(), zeros.end(),
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std::ostream_iterator<float_type>(std::cout, "\n"));
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/*`The Neumann function zeros are evaluated very similarly:
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*/
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using boost::math::cyl_neumann_zero;
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double zn = cyl_neumann_zero(2., 1);
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std::cout << "cyl_neumann_zero(2., 1) = " << std::endl;
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//double zn0 = zn;
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// std::cout << "zn0 = " << std::endl;
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// std::cout << zn0 << std::endl;
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//
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std::cout << zn << std::endl;
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// std::cout << cyl_neumann_zero(2., 1) << std::endl;
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std::vector<float> nzeros(3); // Space for 3 zeros.
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cyl_neumann_zero<float>(2.F, 1, nzeros.size(), nzeros.begin());
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std::cout << "cyl_neumann_zero<float>(2.F, 1, " << std::endl;
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// Print the zeros to the output stream.
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std::copy(nzeros.begin(), nzeros.end(),
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std::ostream_iterator<float>(std::cout, "\n"));
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std::cout << cyl_neumann_zero(static_cast<float_type>(220)/100, 1) << std::endl;
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// 3.6154383428745996706772556069431792744372398748422
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/*`Finally we show how the output iterator can be used to compute a sum of zeros.
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(See [@http://dx.doi.org/10.1017/S2040618500034067 Ian N. Sneddon, Infinite Sums of Bessel Zeros],
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page 150 equation 40).
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*/
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//] [/bessel_zero_example_2]
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{
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//[bessel_zero_example_iterator_2]
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/*`The sum is calculated for many values, converging on the analytical exact value of `1/8`.
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*/
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using boost::math::cyl_bessel_j_zero;
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double nu = 1.;
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double sum = 0;
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output_summation_iterator<double> it(&sum); // sum of 1/zeros^2
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cyl_bessel_j_zero(nu, 1, 10000, it);
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double s = 1/(4 * (nu + 1)); // 0.125 = 1/8 is exact analytical solution.
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std::cout << std::setprecision(6) << "nu = " << nu << ", sum = " << sum
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<< ", exact = " << s << std::endl;
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// nu = 1.00000, sum = 0.124990, exact = 0.125000
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//] [/bessel_zero_example_iterator_2]
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}
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}
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catch (std::exception& ex)
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{
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std::cout << "Thrown exception " << ex.what() << std::endl;
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}
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//[bessel_zero_example_iterator_3]
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/*`Examples below show effect of 'bad' arguments that throw a `domain_error` exception.
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*/
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try
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{ // Try a negative rank m.
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std::cout << "boost::math::cyl_bessel_j_zero(-1.F, -1) " << std::endl;
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float dodgy_root = boost::math::cyl_bessel_j_zero(-1.F, -1);
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std::cout << "boost::math::cyl_bessel_j_zero(-1.F, -1) " << dodgy_root << std::endl;
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// Throw exception Error in function boost::math::cyl_bessel_j_zero<double>(double, int):
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// Order argument is -1, but must be >= 0 !
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}
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catch (std::exception& ex)
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{
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std::cout << "Throw exception " << ex.what() << std::endl;
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}
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/*`[note The type shown is the type [*after promotion],
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using __precision_policy and __promotion_policy, from `float` to `double` in this case.]
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In this example the promotion goes:
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# Arguments are `float` and `int`.
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# Treat `int` "as if" it were a `double`, so arguments are `float` and `double`.
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# Common type is `double` - so that's the precision we want (and the type that will be returned).
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# Evaluate internally as `long double` for full `double` precision.
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See full code for other examples that promote from `double` to `long double`.
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*/
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//] [/bessel_zero_example_iterator_3]
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try
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{ // order v = inf
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std::cout << "boost::math::cyl_bessel_j_zero(infF, 1) " << std::endl;
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float infF = std::numeric_limits<float>::infinity();
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float inf_root = boost::math::cyl_bessel_j_zero(infF, 1);
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std::cout << "boost::math::cyl_bessel_j_zero(infF, 1) " << inf_root << std::endl;
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// boost::math::cyl_bessel_j_zero(-1.F, -1)
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//Thrown exception Error in function boost::math::cyl_bessel_j_zero<double>(double, int):
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// Requested the -1'th zero, but the rank must be positive !
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}
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catch (std::exception& ex)
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{
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std::cout << "Thrown exception " << ex.what() << std::endl;
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}
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try
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{ // order v = inf
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double inf = std::numeric_limits<double>::infinity();
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double inf_root = boost::math::cyl_bessel_j_zero(inf, 1);
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std::cout << "boost::math::cyl_bessel_j_zero(inf, 1) " << inf_root << std::endl;
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// Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, unsigned):
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// Order argument is 1.#INF, but must be finite >= 0 !
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}
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catch (std::exception& ex)
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{
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std::cout << "Thrown exception " << ex.what() << std::endl;
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}
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try
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{ // order v = NaN
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double nan = std::numeric_limits<double>::quiet_NaN();
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double nan_root = boost::math::cyl_bessel_j_zero(nan, 1);
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std::cout << "boost::math::cyl_bessel_j_zero(nan, 1) " << nan_root << std::endl;
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// Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, unsigned):
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// Order argument is 1.#QNAN, but must be finite >= 0 !
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}
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catch (std::exception& ex)
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{
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std::cout << "Thrown exception " << ex.what() << std::endl;
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}
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try
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{ // Try a negative m.
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double dodgy_root = boost::math::cyl_bessel_j_zero(0.0, -1);
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// warning C4146: unary minus operator applied to unsigned type, result still unsigned.
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std::cout << "boost::math::cyl_bessel_j_zero(0.0, -1) " << dodgy_root << std::endl;
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// boost::math::cyl_bessel_j_zero(0.0, -1) 6.74652e+009
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// This *should* fail because m is unreasonably large.
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}
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catch (std::exception& ex)
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{
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std::cout << "Thrown exception " << ex.what() << std::endl;
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}
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try
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{ // m = inf
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double inf = std::numeric_limits<double>::infinity();
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double inf_root = boost::math::cyl_bessel_j_zero(0.0, inf);
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// warning C4244: 'argument' : conversion from 'double' to 'int', possible loss of data.
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std::cout << "boost::math::cyl_bessel_j_zero(0.0, inf) " << inf_root << std::endl;
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// Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, int):
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// Requested the 0'th zero, but must be > 0 !
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}
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catch (std::exception& ex)
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{
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std::cout << "Thrown exception " << ex.what() << std::endl;
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}
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try
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{ // m = NaN
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std::cout << "boost::math::cyl_bessel_j_zero(0.0, nan) " << std::endl ;
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double nan = std::numeric_limits<double>::quiet_NaN();
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double nan_root = boost::math::cyl_bessel_j_zero(0.0, nan);
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// warning C4244: 'argument' : conversion from 'double' to 'int', possible loss of data.
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std::cout << nan_root << std::endl;
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// Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, int):
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// Requested the 0'th zero, but must be > 0 !
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||
|
}
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|
catch (std::exception& ex)
|
||
|
{
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|
std::cout << "Thrown exception " << ex.what() << std::endl;
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||
|
}
|
||
|
|
||
|
} // int main()
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||
|
|
||
|
/*
|
||
|
Mathematica: Table[N[BesselJZero[71/19, n], 50], {n, 1, 20, 1}]
|
||
|
|
||
|
7.2731751938316489503185694262290765588963196701623
|
||
|
10.724858308883141732536172745851416647110749599085
|
||
|
14.018504599452388106120459558042660282427471931581
|
||
|
17.25249845917041718216248716654977734919590383861
|
||
|
20.456678874044517595180234083894285885460502077814
|
||
|
23.64363089714234522494551422714731959985405172504
|
||
|
26.819671140255087745421311470965019261522390519297
|
||
|
29.988343117423674742679141796661432043878868194142
|
||
|
33.151796897690520871250862469973445265444791966114
|
||
|
36.3114160002162074157243540350393860813165201842
|
||
|
39.468132467505236587945197808083337887765967032029
|
||
|
42.622597801391236474855034831297954018844433480227
|
||
|
45.775281464536847753390206207806726581495950012439
|
||
|
48.926530489173566198367766817478553992471739894799
|
||
|
52.076607045343002794279746041878924876873478063472
|
||
|
55.225712944912571393594224327817265689059002890192
|
||
|
58.374006101538886436775188150439025201735151418932
|
||
|
61.521611873000965273726742659353136266390944103571
|
||
|
64.66863105379093036834648221487366079456596628716
|
||
|
67.815145619696290925556791375555951165111460585458
|
||
|
|
||
|
Mathematica: Table[N[BesselKZero[2, n], 50], {n, 1, 5, 1}]
|
||
|
n |
|
||
|
1 | 3.3842417671495934727014260185379031127323883259329
|
||
|
2 | 6.7938075132682675382911671098369487124493222183854
|
||
|
3 | 10.023477979360037978505391792081418280789658279097
|
||
|
|
||
|
|
||
|
*/
|
||
|
|
||
|
/*
|
||
|
[bessel_zero_output]
|
||
|
|
||
|
boost::math::cyl_bessel_j_zero(0.0, 1) 2.40483
|
||
|
boost::math::cyl_bessel_j_zero(0.0, 1) 2.40482555769577
|
||
|
boost::math::cyl_bessel_j_zero(-1.0, 1) 1.#QNAN
|
||
|
boost::math::cyl_bessel_j_zero(inf, 1) 1.#QNAN
|
||
|
boost::math::cyl_bessel_j_zero(nan, 1) 1.#QNAN
|
||
|
5.13562230184068
|
||
|
8.41724414039986
|
||
|
11.6198411721491
|
||
|
14.7959517823513
|
||
|
17.9598194949878
|
||
|
|
||
|
x = 3.7368421052631578947368421052631578947368421052632, r = 7.2731751938316489503185694262290765588963196701623
|
||
|
x = 3.7368421052631578947368421052631578947368421052632, r = 67.815145619696290925556791375555951165111460585458
|
||
|
7.2731751938316489503185694262290765588963196701623
|
||
|
10.724858308883141732536172745851416647110749599085
|
||
|
14.018504599452388106120459558042660282427471931581
|
||
|
cyl_neumann_zero(2., 1) = 3.3842417671495935000000000000000000000000000000000
|
||
|
3.3842418193817139000000000000000000000000000000000
|
||
|
6.7938075065612793000000000000000000000000000000000
|
||
|
10.023477554321289000000000000000000000000000000000
|
||
|
3.6154383428745996706772556069431792744372398748422
|
||
|
nu = 1.00000, sum = 0.124990, exact = 0.125000
|
||
|
Throw exception Error in function boost::math::cyl_bessel_j_zero<double>(double, int): Order argument is -1, but must be >= 0 !
|
||
|
Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, int): Order argument is 1.#INF, but must be finite >= 0 !
|
||
|
Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, int): Order argument is 1.#QNAN, but must be finite >= 0 !
|
||
|
Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, int): Requested the -1'th zero, but must be > 0 !
|
||
|
Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, int): Requested the -2147483648'th zero, but must be > 0 !
|
||
|
Throw exception Error in function boost::math::cyl_bessel_j_zero<long double>(long double, int): Requested the -2147483648'th zero, but must be > 0 !
|
||
|
|
||
|
|
||
|
] [/bessel_zero_output]
|
||
|
*/
|
||
|
|