293 lines
7.6 KiB
C++
293 lines
7.6 KiB
C++
// Copyright John Maddock 2007.
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// Use, modification and distribution are subject to the
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// Boost Software License, Version 1.0. (See accompanying file
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// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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#include "required_defines.hpp"
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#include "performance_measure.hpp"
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#include <boost/math/special_functions/gamma.hpp>
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#include <boost/array.hpp>
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#define T double
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#include "../test/igamma_big_data.ipp"
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#include "../test/igamma_int_data.ipp"
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#include "../test/igamma_med_data.ipp"
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#include "../test/igamma_small_data.ipp"
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template <std::size_t N>
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double igamma_evaluate2(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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{
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result += boost::math::gamma_p(data[i][0], data[i][1]);
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result += boost::math::gamma_q(data[i][0], data[i][1]);
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}
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return result;
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}
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BOOST_MATH_PERFORMANCE_TEST(igamma_test, "igamma")
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{
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double result = igamma_evaluate2(igamma_big_data);
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result += igamma_evaluate2(igamma_int_data);
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result += igamma_evaluate2(igamma_med_data);
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result += igamma_evaluate2(igamma_small_data);
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consume_result(result);
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set_call_count(
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2 * (sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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template <std::size_t N>
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double igamma_inv_evaluate2(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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{
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result += boost::math::gamma_p_inv(data[i][0], data[i][5]);
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result += boost::math::gamma_q_inv(data[i][0], data[i][3]);
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}
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return result;
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}
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BOOST_MATH_PERFORMANCE_TEST(igamma_inv_test, "igamma_inv")
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{
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double result = igamma_inv_evaluate2(igamma_big_data);
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result += igamma_inv_evaluate2(igamma_int_data);
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result += igamma_inv_evaluate2(igamma_med_data);
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result += igamma_inv_evaluate2(igamma_small_data);
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consume_result(result);
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set_call_count(
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2 * (sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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template <std::size_t N>
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double igamma_inva_evaluate2(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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{
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result += boost::math::gamma_p_inva(data[i][1], data[i][5]);
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result += boost::math::gamma_q_inva(data[i][1], data[i][3]);
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}
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return result;
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}
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BOOST_MATH_PERFORMANCE_TEST(igamma_inva_test, "igamma_inva")
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{
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double result = igamma_inva_evaluate2(igamma_big_data);
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result += igamma_inva_evaluate2(igamma_int_data);
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result += igamma_inva_evaluate2(igamma_med_data);
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result += igamma_inva_evaluate2(igamma_small_data);
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consume_result(result);
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set_call_count(
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2 * (sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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#ifdef TEST_CEPHES
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extern "C" {
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double igam(double, double);
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double igami(double, double);
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}
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template <std::size_t N>
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double igamma_evaluate_cephes(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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result += igam(data[i][0], data[i][1]);
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return result;
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}
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BOOST_MATH_PERFORMANCE_TEST(igamma_test, "igamma-cephes")
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{
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double result = igamma_evaluate_cephes(igamma_big_data);
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result += igamma_evaluate_cephes(igamma_int_data);
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result += igamma_evaluate_cephes(igamma_med_data);
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result += igamma_evaluate_cephes(igamma_small_data);
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consume_result(result);
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set_call_count(
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(sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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template <std::size_t N>
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double igamma_inv_evaluate_cephes(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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result += igami(data[i][0], data[i][3]); // note needs complement of probability!!
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return result;
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}
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//
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// This test does not run to completion, gets stuck
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// in infinite loop inside cephes....
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//
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#if 0
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BOOST_MATH_PERFORMANCE_TEST(igamma_inv_test, "igamma_inv-cephes")
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{
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double result = igamma_inv_evaluate_cephes(igamma_big_data);
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result += igamma_inv_evaluate_cephes(igamma_int_data);
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result += igamma_inv_evaluate_cephes(igamma_med_data);
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result += igamma_inv_evaluate_cephes(igamma_small_data);
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consume_result(result);
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set_call_count(
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(sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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#endif
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#endif
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#ifdef TEST_GSL
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#include <gsl/gsl_sf_gamma.h>
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template <std::size_t N>
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double igamma_evaluate_gsl(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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result += gsl_sf_gamma_inc_P(data[i][0], data[i][1]);
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return result;
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}
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BOOST_MATH_PERFORMANCE_TEST(igamma_test, "igamma-gsl")
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{
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double result = igamma_evaluate_gsl(igamma_big_data);
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result += igamma_evaluate_gsl(igamma_int_data);
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result += igamma_evaluate_gsl(igamma_med_data);
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result += igamma_evaluate_gsl(igamma_small_data);
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consume_result(result);
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set_call_count(
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(sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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#endif
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#ifdef TEST_DCDFLIB
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#include <dcdflib.h>
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namespace dcd{
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inline double gamma_q(double x, double y)
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{
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double ans, qans;
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int i = 0;
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gamma_inc (&x, &y, &ans, &qans, &i);
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return qans;
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}
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inline double gamma_p(double x, double y)
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{
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double ans, qans;
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int i = 0;
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gamma_inc (&x, &y, &ans, &qans, &i);
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return ans;
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}
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inline double gamma_q_inv(double x, double y)
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{
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double ans, p, nul;
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int i = 0;
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p = 1 - y;
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nul = 0;
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gamma_inc_inv (&x, &ans, &nul, &p, &y, &i);
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return ans;
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}
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inline double gamma_p_inv(double x, double y)
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{
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double ans, p, nul;
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int i = 0;
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p = 1 - y;
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nul = 0;
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gamma_inc_inv (&x, &ans, &nul, &y, &p, &i);
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return ans;
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}
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}
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template <std::size_t N>
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double igamma_evaluate2_dcd(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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{
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result += dcd::gamma_p(data[i][0], data[i][1]);
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result += dcd::gamma_q(data[i][0], data[i][1]);
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}
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return result;
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}
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BOOST_MATH_PERFORMANCE_TEST(igamma_test, "igamma-dcd")
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{
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double result = igamma_evaluate2_dcd(igamma_big_data);
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result += igamma_evaluate2_dcd(igamma_int_data);
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result += igamma_evaluate2_dcd(igamma_med_data);
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result += igamma_evaluate2_dcd(igamma_small_data);
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consume_result(result);
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set_call_count(
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2 * (sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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template <std::size_t N>
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double igamma_inv_evaluate2_dcd(const boost::array<boost::array<T, 6>, N>& data)
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{
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double result = 0;
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for(unsigned i = 0; i < N; ++i)
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{
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result += dcd::gamma_p_inv(data[i][0], data[i][5]);
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result += dcd::gamma_q_inv(data[i][0], data[i][3]);
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}
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return result;
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}
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BOOST_MATH_PERFORMANCE_TEST(igamma_inv_test, "igamma_inv-dcd")
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{
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double result = igamma_inv_evaluate2_dcd(igamma_big_data);
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result += igamma_inv_evaluate2_dcd(igamma_int_data);
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result += igamma_inv_evaluate2_dcd(igamma_med_data);
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result += igamma_inv_evaluate2_dcd(igamma_small_data);
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consume_result(result);
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set_call_count(
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2 * (sizeof(igamma_big_data)
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+ sizeof(igamma_int_data)
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+ sizeof(igamma_med_data)
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+ sizeof(igamma_small_data)) / sizeof(igamma_big_data[0]));
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}
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#endif
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