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- // Copyright Paul A. Bristow 2016, 2017, 2018.
- // Copyright John Maddock 2016.
- // 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)
- // test_lambert_w.cpp
- //! \brief Basic sanity tests for Lambert W derivative.
- #ifdef BOOST_MATH_TEST_FLOAT128
- #include <boost/cstdfloat.hpp> // For float_64_t, float128_t. Must be first include!
- #endif // #ifdef #ifdef BOOST_MATH_TEST_FLOAT128
- // Needs gnu++17 for BOOST_HAS_FLOAT128
- #include <boost/config.hpp> // for BOOST_MSVC definition etc.
- #include <boost/version.hpp> // for BOOST_MSVC versions.
- // Boost macros
- #define BOOST_TEST_MAIN
- #define BOOST_LIB_DIAGNOSTIC "on" // Report library file details.
- #include <boost/test/included/unit_test.hpp> // Boost.Test
- // #include <boost/test/unit_test.hpp> // Boost.Test
- #include <boost/test/tools/floating_point_comparison.hpp>
- #include <boost/array.hpp>
- #include <boost/lexical_cast.hpp>
- #include <boost/type_traits/is_constructible.hpp>
- #ifdef BOOST_MATH_TEST_MULTIPRECISION
- #include <boost/multiprecision/cpp_dec_float.hpp> // boost::multiprecision::cpp_dec_float_50
- using boost::multiprecision::cpp_dec_float_50;
- #include <boost/multiprecision/cpp_bin_float.hpp>
- using boost::multiprecision::cpp_bin_float_quad;
- #ifdef BOOST_MATH_TEST_FLOAT128
- #ifdef BOOST_HAS_FLOAT128
- // Including this header below without float128 triggers:
- // fatal error C1189: #error: "Sorry compiler is neither GCC, not Intel, don't know how to configure this header."
- #include <boost/multiprecision/float128.hpp>
- using boost::multiprecision::float128;
- #endif // ifdef BOOST_HAS_FLOAT128
- #endif // #ifdef #ifdef BOOST_MATH_TEST_FLOAT128
- #endif // #ifdef BOOST_MATH_TEST_MULTIPRECISION
- //#include <boost/fixed_point/fixed_point.hpp> // If available.
- #include <boost/math/concepts/real_concept.hpp> // for real_concept tests.
- #include <boost/math/special_functions/fpclassify.hpp> // isnan, ifinite.
- #include <boost/math/special_functions/next.hpp> // float_next, float_prior
- using boost::math::float_next;
- using boost::math::float_prior;
- #include <boost/math/special_functions/ulp.hpp> // ulp
- #include <boost/math/tools/test_value.hpp> // for create_test_value and macro BOOST_MATH_TEST_VALUE.
- #include <boost/math/policies/policy.hpp>
- using boost::math::policies::digits2;
- using boost::math::policies::digits10;
- #include <boost/math/special_functions/lambert_w.hpp> // For Lambert W lambert_w function.
- using boost::math::lambert_wm1;
- using boost::math::lambert_w0;
- #include <limits>
- #include <cmath>
- #include <typeinfo>
- #include <iostream>
- #include <exception>
- std::string show_versions(void);
- BOOST_AUTO_TEST_CASE( Derivatives_of_lambert_w )
- {
- std::cout << "Macro BOOST_MATH_LAMBERT_W_DERIVATIVES to test 1st derivatives is defined." << std::endl;
- BOOST_TEST_MESSAGE("\nTest Lambert W function 1st differentials.");
- using boost::math::constants::exp_minus_one;
- using boost::math::lambert_w0_prime;
- using boost::math::lambert_wm1_prime;
- // Derivatives
- // https://www.wolframalpha.com/input/?i=derivative+of+productlog(0,+x)
- // d/dx(W_0(x)) = W(x)/(x W(x) + x)
- // https://www.wolframalpha.com/input/?i=derivative+of+productlog(-1,+x)
- // d/dx(W_(-1)(x)) = (W_(-1)(x))/(x W_(-1)(x) + x)
- // 55 decimal digit values added to allow future testing using multiprecision.
- typedef double RealType;
- int epsilons = 1;
- RealType tolerance = boost::math::tools::epsilon<RealType>() * epsilons; // 2 eps as a fraction.
- // derivative of productlog(-1, x) at x = -0.1 == -13.8803
- // (derivative of productlog(-1, x) ) at x = N[-0.1, 55] - but the result disappears!
- // (derivative of N[productlog(-1, x), 55] ) at x = N[-0.1, 55]
- // W0 branch
- BOOST_CHECK_CLOSE_FRACTION(lambert_w0_prime(BOOST_MATH_TEST_VALUE(RealType, -0.2)),
- // BOOST_MATH_TEST_VALUE(RealType, 1.7491967609218355),
- BOOST_MATH_TEST_VALUE(RealType, 1.7491967609218358355273514903396335693828167746571404),
- tolerance); // 1.7491967609218358355273514903396335693828167746571404
- BOOST_CHECK_CLOSE_FRACTION(lambert_w0_prime(BOOST_MATH_TEST_VALUE(RealType, 10.)),
- BOOST_MATH_TEST_VALUE(RealType, 0.063577133469345105142021311010780887641928338458371618),
- tolerance);
- // W-1 branch
- BOOST_CHECK_CLOSE_FRACTION(lambert_wm1_prime(BOOST_MATH_TEST_VALUE(RealType, -0.1)),
- BOOST_MATH_TEST_VALUE(RealType, -13.880252213229780748699361486619519025203815492277715),
- tolerance);
- // Lambert W_prime -13.880252213229780748699361486619519025203815492277715, double -13.880252213229781
- BOOST_CHECK_CLOSE_FRACTION(lambert_wm1_prime(BOOST_MATH_TEST_VALUE(RealType, -0.2)),
- BOOST_MATH_TEST_VALUE(RealType, -8.2411940564179044961885598641955579728547896392013239),
- tolerance);
- // Lambert W_prime -8.2411940564179044961885598641955579728547896392013239, double -8.2411940564179051
- // Lambert W_prime 0.063577133469345105142021311010780887641928338458371618, double 0.063577133469345098
- }; // BOOST_AUTO_TEST_CASE("Derivatives of lambert_w")
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