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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 18:24:20 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 18:24:20 +0000
commit483eb2f56657e8e7f419ab1a4fab8dce9ade8609 (patch)
treee5d88d25d870d5dedacb6bbdbe2a966086a0a5cf /src/boost/libs/math/test/chebyshev_test.cpp
parentInitial commit. (diff)
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Adding upstream version 14.2.21.upstream/14.2.21upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'src/boost/libs/math/test/chebyshev_test.cpp')
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diff --git a/src/boost/libs/math/test/chebyshev_test.cpp b/src/boost/libs/math/test/chebyshev_test.cpp
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+/*
+ * Copyright Nick Thompson, 2017
+ * 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_TEST_MODULE chebyshev_test
+
+#include <boost/type_index.hpp>
+#include <boost/test/included/unit_test.hpp>
+#include <boost/test/tools/floating_point_comparison.hpp>
+#include <boost/math/special_functions/chebyshev.hpp>
+#include <boost/math/special_functions/sinc.hpp>
+#include <boost/multiprecision/cpp_bin_float.hpp>
+#include <boost/multiprecision/cpp_dec_float.hpp>
+#include <boost/array.hpp>
+
+using boost::multiprecision::cpp_bin_float_quad;
+using boost::multiprecision::cpp_bin_float_50;
+using boost::multiprecision::cpp_bin_float_100;
+using boost::math::chebyshev_t;
+using boost::math::chebyshev_t_prime;
+using boost::math::chebyshev_u;
+
+template<class Real>
+void test_polynomials()
+{
+ std::cout << "Testing explicit polynomial representations of the Chebyshev polynomials on type " << boost::typeindex::type_id<Real>().pretty_name() << "\n";
+
+ Real x = -2;
+ Real tol = 400*std::numeric_limits<Real>::epsilon();
+ if (tol > std::numeric_limits<float>::epsilon())
+ tol *= 10; // float results have much larger error rates.
+ while (x < 2)
+ {
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t(0, x), Real(1), tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t(1, x), x, tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t(2, x), 2*x*x - 1, tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t(3, x), x*(4*x*x-3), tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t(4, x), 8*x*x*(x*x - 1) + 1, tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t(5, x), x*(16*x*x*x*x - 20*x*x + 5), tol);
+ x += 1/static_cast<Real>(1<<7);
+ }
+
+ x = -2;
+ tol = 10*tol;
+ while (x < 2)
+ {
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_u(0, x), Real(1), tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_u(1, x), 2*x, tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_u(2, x), 4*x*x - 1, tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_u(3, x), 4*x*(2*x*x - 1), tol);
+ x += 1/static_cast<Real>(1<<7);
+ }
+}
+
+
+template<class Real>
+void test_derivatives()
+{
+ std::cout << "Testing explicit polynomial representations of the Chebyshev polynomial derivatives on type " << boost::typeindex::type_id<Real>().pretty_name() << "\n";
+
+ Real x = -2;
+ Real tol = 1000*std::numeric_limits<Real>::epsilon();
+ while (x < 2)
+ {
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t_prime(0, x), Real(0), tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t_prime(1, x), Real(1), tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t_prime(2, x), 4*x, tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t_prime(3, x), 3*(4*x*x - 1), tol);
+ BOOST_CHECK_CLOSE_FRACTION(chebyshev_t_prime(4, x), 16*x*(2*x*x - 1), tol);
+ // This one makes the tolerance have to grow too large; the Chebyshev recurrence is more stable than naive polynomial evaluation anyway.
+ //BOOST_CHECK_CLOSE_FRACTION(chebyshev_t_prime(5, x), 5*(4*x*x*(4*x*x - 3) + 1), tol);
+ x += 1/static_cast<Real>(1<<7);
+ }
+}
+
+template<class Real>
+void test_clenshaw_recurrence()
+{
+ using boost::math::chebyshev_clenshaw_recurrence;
+ boost::array<Real, 5> c0 = { {2, 0, 0, 0, 0} };
+ // Check the size = 1 case:
+ boost::array<Real, 1> c01 = { {2} };
+ // Check the size = 2 case:
+ boost::array<Real, 2> c02 = { {2, 0} };
+ boost::array<Real, 4> c1 = { {0, 1, 0, 0} };
+ boost::array<Real, 4> c2 = { {0, 0, 1, 0} };
+ boost::array<Real, 5> c3 = { {0, 0, 0, 1, 0} };
+ boost::array<Real, 5> c4 = { {0, 0, 0, 0, 1} };
+ boost::array<Real, 6> c5 = { {0, 0, 0, 0, 0, 1} };
+ boost::array<Real, 7> c6 = { {0, 0, 0, 0, 0, 0, 1} };
+
+ Real x = -1;
+ Real tol = 10*std::numeric_limits<Real>::epsilon();
+ if (tol > std::numeric_limits<float>::epsilon())
+ tol *= 100; // float results have much larger error rates.
+ while (x <= 1)
+ {
+ Real y = chebyshev_clenshaw_recurrence(c0.data(), c0.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(0, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c01.data(), c01.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(0, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c02.data(), c02.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(0, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c1.data(), c1.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(1, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c2.data(), c2.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(2, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c3.data(), c3.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(3, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c4.data(), c4.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(4, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c5.data(), c5.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(5, x), tol);
+
+ y = chebyshev_clenshaw_recurrence(c6.data(), c6.size(), x);
+ BOOST_CHECK_CLOSE_FRACTION(y, chebyshev_t(6, x), tol);
+
+ x += static_cast<Real>(1)/static_cast<Real>(1 << 7);
+ }
+}
+
+BOOST_AUTO_TEST_CASE(chebyshev_test)
+{
+ test_clenshaw_recurrence<float>();
+ test_clenshaw_recurrence<double>();
+ test_clenshaw_recurrence<long double>();
+
+ test_polynomials<float>();
+ test_polynomials<double>();
+ test_polynomials<long double>();
+ test_polynomials<cpp_bin_float_quad>();
+
+ test_derivatives<float>();
+ test_derivatives<double>();
+ test_derivatives<long double>();
+ test_derivatives<cpp_bin_float_quad>();
+}