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Hypergeometric: start testing larger arguments to 1F1 and begin to fix the errors.

This commit is contained in:
jzmaddock
2018-01-20 17:46:57 +00:00
parent 7cc4d04edf
commit 5a1f4d90ba
3 changed files with 2626 additions and 0 deletions

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///////////////////////////////////////////////////////////////////////////////
// Copyright 2017 John Maddock
// 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)
//
#ifndef BOOST_MATH_HYPERGEOMETRIC_1F1_SCALED_SERIES_HPP
#define BOOST_MATH_HYPERGEOMETRIC_1F1_SCALED_SERIES_HPP
#include <boost/array.hpp>
namespace boost{ namespace math{ namespace detail{
template <class T, class Policy>
T hypergeometric_1f1_scaled_series(const T& a, const T& b, const T& z, const Policy& pol, const char* function)
{
BOOST_MATH_STD_USING_CORE
//
// Result is returned scaled by e^-z.
// Whenever the terms start becoming too large, we scale by some factor e^-n
// and keep track of the integer scaling factor n. At the end we can perform
// an exact subtraction of n from z and scale the result:
//
T sum(0), term(1), upper_limit(sqrt(boost::math::tools::max_value<T>())), diff;
unsigned n = 0;
boost::intmax_t log_scaling_factor = -boost::math::itrunc(boost::math::tools::log_max_value<T>());
T scaling_factor = exp(log_scaling_factor);
boost::intmax_t current_scaling = 0;
do
{
sum += term;
if (sum >= upper_limit)
{
sum *= scaling_factor;
term *= scaling_factor;
current_scaling += log_scaling_factor;
}
term *= (((a + n) / ((b + n) * (n + 1))) * z);
if (n > boost::math::policies::get_max_series_iterations<Policy>())
return boost::math::policies::raise_evaluation_error(function, "Series did not converge, best value is %1%", sum, pol);
++n;
diff = fabs(term / sum);
} while (diff > boost::math::policies::get_epsilon<T, Policy>());
return sum * exp(-z - current_scaling);
}
} } } // namespaces
#endif // BOOST_MATH_HYPERGEOMETRIC_1F1_SCALED_SERIES_HPP

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tools/hyp_1f1_big_data.cpp Normal file
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// (C) Copyright John Maddock 2006.
// 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)
#define BOOST_MATH_MAX_SERIES_ITERATION_POLICY 10000000
#include <boost/math/special_functions/hypergeometric_1f1.hpp>
#include <boost/math/constants/constants.hpp>
#include <boost/lexical_cast.hpp>
#include <fstream>
#include <map>
#include <boost/math/tools/test_data.hpp>
#include <boost/random.hpp>
#define BOOST_MATH_USE_MPFR
#include "mp_t.hpp"
#include <boost/multiprecision/mpfi.hpp>
using namespace boost::math::tools;
using namespace boost::math;
using namespace std;
using namespace boost::multiprecision;
typedef mpfi_float_1000 mpfi_type;
mp_t hypergeometric_1f1_generic_series(mp_t a_, mp_t b_, mp_t z_)
{
mpfi_type a(a_), b(b_), z(z_), sum(0), term(1), diff;
unsigned n = 0;
do
{
sum += term;
term *= (((a + n) / ((b + n) * (n + 1))) * z);
++n;
diff = fabs(term / sum);
if (n > 10000000)
{
std::cout << "Aborting series evaluation due to too many iterations...\n";
throw evaluation_error("");
}
if (fabs(upper(sum)) > std::numeric_limits<double>::max())
{
std::cout << "Aborting series evaluation due to over large sum...\n";
throw evaluation_error("");
}
} while (upper(diff) > 1e-40);
mp_t r = mp_t(width(sum) / median(sum));
if (fabs(r) > 1e-40)
{
std::cout << "Aborting to to error in result of " << r << std::endl;
throw evaluation_error("");
}
std::cout << "Found error in sum was " << r << std::endl;
return mp_t(median(sum));
}
struct hypergeometric_1f1_gen
{
mp_t operator()(mp_t a1, mp_t a2, mp_t z)
{
mp_t result;
try {
result = hypergeometric_1f1_generic_series(a1, a2, z);
std::cout << a1 << " " << a2 << " " << z << " " << result << std::endl;
}
catch (...)
{
throw std::domain_error("");
}
if (fabs(result) > std::numeric_limits<double>::max())
{
std::cout << "Rejecting over large value\n";
throw std::domain_error("");
}
return result;
}
};
int main(int, char* [])
{
parameter_info<mp_t> arg1, arg2, arg3;
test_data<mp_t> data;
std::cout << "Welcome.\n"
"This program will generate spot tests for 1F1 (Yeh!!):\n";
std::string line;
bool cont;
std::vector<mp_t> v;
random_ns::mt19937 rnd;
random_ns::uniform_real_distribution<float> ur_a(0, 1);
mp_t p = ur_a(rnd);
p *= 1e6;
v.push_back(p);
v.push_back(-p);
p = ur_a(rnd);
p *= 1e5;
v.push_back(p);
v.push_back(-p);
p = ur_a(rnd);
p *= 1e4;
v.push_back(p);
v.push_back(-p);
p = ur_a(rnd);
p *= 1e3;
v.push_back(p);
v.push_back(-p);
p = ur_a(rnd);
p *= 1e2;
v.push_back(p);
v.push_back(-p);
p = ur_a(rnd);
p *= 1e-5;
v.push_back(p);
v.push_back(-p);
p = ur_a(rnd);
p *= 1e-12;
v.push_back(p);
v.push_back(-p);
p = ur_a(rnd);
p *= 1e-30;
v.push_back(p);
v.push_back(-p);
for (unsigned i = 0; i < v.size(); ++i)
{
for (unsigned j = 0; j < v.size(); ++j)
{
for (unsigned k = 0; k < v.size(); ++k)
{
arg1 = make_single_param(v[i]);
arg2 = make_single_param(mp_t(v[j] * 3 / 2));
arg3 = make_single_param(mp_t(v[k] * 5 / 4));
data.insert(hypergeometric_1f1_gen(), arg1, arg2, arg3);
}
}
}
std::cout << "Enter name of test data file [default=hypergeometric_1f1.ipp]";
std::getline(std::cin, line);
boost::algorithm::trim(line);
if(line == "")
line = "hypergeometric_1f1.ipp";
std::ofstream ofs(line.c_str());
ofs << std::scientific << std::setprecision(40);
write_code(ofs, data, line.c_str());
return 0;
}