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