// This file is part of a joint effort between Eigen, a lightweight C++ template library // for linear algebra, and MPFR C++, a C++ interface to MPFR library (http://www.holoborodko.com/pavel/) // // Copyright (C) 2010 Pavel Holoborodko // Copyright (C) 2010 Konstantin Holoborodko // Copyright (C) 2010 Gael Guennebaud // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. // // Contributors: // Brian Gladman, Helmut Jarausch, Fokko Beekhof, Ulrich Mutze, Heinz van Saanen, Pere Constans #ifndef EIGEN_MPREALSUPPORT_MODULE_H #define EIGEN_MPREALSUPPORT_MODULE_H #include #include #include namespace Eigen { /** \ingroup Unsupported_modules * \defgroup MPRealSupport_Module MPFRC++ Support module * * \code * #include * \endcode * * This module provides support for multi precision floating point numbers * via the MPFR C++ * library which itself is built upon MPFR/GMP. * * You can find a copy of MPFR C++ that is known to be compatible in the unsupported/test/mpreal folder. * * Here is an example: * \code #include #include #include using namespace mpfr; using namespace Eigen; int main() { // set precision to 256 bits (double has only 53 bits) mpreal::set_default_prec(256); // Declare matrix and vector types with multi-precision scalar type typedef Matrix MatrixXmp; typedef Matrix VectorXmp; MatrixXmp A = MatrixXmp::Random(100,100); VectorXmp b = VectorXmp::Random(100); // Solve Ax=b using LU VectorXmp x = A.lu().solve(b); std::cout << "relative error: " << (A*x - b).norm() / b.norm() << std::endl; return 0; } \endcode * */ template<> struct NumTraits : GenericNumTraits { enum { IsInteger = 0, IsSigned = 1, IsComplex = 0, RequireInitialization = 1, ReadCost = 10, AddCost = 10, MulCost = 40 }; typedef mpfr::mpreal Real; typedef mpfr::mpreal NonInteger; inline static mpfr::mpreal highest() { return mpfr::mpreal_max(mpfr::mpreal::get_default_prec()); } inline static mpfr::mpreal lowest() { return -mpfr::mpreal_max(mpfr::mpreal::get_default_prec()); } inline static Real epsilon() { return mpfr::machine_epsilon(mpfr::mpreal::get_default_prec()); } inline static Real dummy_precision() { unsigned int weak_prec = ((mpfr::mpreal::get_default_prec()-1)*90)/100; return mpfr::machine_epsilon(weak_prec); } }; namespace internal { template<> mpfr::mpreal random() { #if (MPFR_VERSION >= MPFR_VERSION_NUM(3,0,0)) static gmp_randstate_t state; static bool isFirstTime = true; if(isFirstTime) { gmp_randinit_default(state); gmp_randseed_ui(state,(unsigned)time(NULL)); isFirstTime = false; } return mpfr::urandom(state)*2-1; #else return mpfr::mpreal(random()); #endif } template<> mpfr::mpreal random(const mpfr::mpreal& a, const mpfr::mpreal& b) { return a + (b-a) * random(); } bool isMuchSmallerThan(const mpfr::mpreal& a, const mpfr::mpreal& b, const mpfr::mpreal& prec) { return mpfr::abs(a) <= mpfr::abs(b) * prec; } inline bool isApprox(const mpfr::mpreal& a, const mpfr::mpreal& b, const mpfr::mpreal& prec) { return mpfr::abs(a - b) <= (mpfr::min)(mpfr::abs(a), mpfr::abs(b)) * prec; } inline bool isApproxOrLessThan(const mpfr::mpreal& a, const mpfr::mpreal& b, const mpfr::mpreal& prec) { return a <= b || isApprox(a, b, prec); } template<> inline long double cast(const mpfr::mpreal& x) { return x.toLDouble(); } template<> inline double cast(const mpfr::mpreal& x) { return x.toDouble(); } template<> inline long cast(const mpfr::mpreal& x) { return x.toLong(); } template<> inline int cast(const mpfr::mpreal& x) { return int(x.toLong()); } } // end namespace internal } #endif // EIGEN_MPREALSUPPORT_MODULE_H