mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
7898281b2b
Doxygen was confused by the unsupported modules being partly in the doc/ directly, instead of completely in unsupported/doc/ . Thus, the link to the unsupported modules on the server did not work (I think this manifested itself after doxygen was upgraded on the server).
167 lines
6.2 KiB
Plaintext
167 lines
6.2 KiB
Plaintext
// 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 <pavel@holoborodko.com>
|
|
// Copyright (C) 2010 Konstantin Holoborodko <konstantin@holoborodko.com>
|
|
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
|
|
//
|
|
// Eigen is free software; you can redistribute it and/or
|
|
// modify it under the terms of the GNU Lesser General Public
|
|
// License as published by the Free Software Foundation; either
|
|
// version 3 of the License, or (at your option) any later version.
|
|
//
|
|
// Alternatively, you can redistribute it and/or
|
|
// modify it under the terms of the GNU General Public License as
|
|
// published by the Free Software Foundation; either version 2 of
|
|
// the License, or (at your option) any later version.
|
|
//
|
|
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
|
|
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
|
|
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
|
|
// GNU General Public License for more details.
|
|
//
|
|
// You should have received a copy of the GNU Lesser General Public
|
|
// License and a copy of the GNU General Public License along with
|
|
// this library. If not, see <http://www.gnu.org/licenses/>.
|
|
//
|
|
// 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 <ctime>
|
|
#include <mpreal.h>
|
|
#include <Eigen/Core>
|
|
|
|
namespace Eigen {
|
|
|
|
/** \ingroup Unsupported_modules
|
|
* \defgroup MPRealSupport_Module MPFRC++ Support module
|
|
*
|
|
* \code
|
|
* #include <Eigen/MPRealSupport>
|
|
* \endcode
|
|
*
|
|
* This module provides support for multi precision floating point numbers
|
|
* via the <a href="http://www.holoborodko.com/pavel/mpfr">MPFR C++</a>
|
|
* library which itself is built upon <a href="http://www.mpfr.org/">MPFR</a>/<a href="http://gmplib.org/">GMP</a>.
|
|
*
|
|
* 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 <iostream>
|
|
#include <Eigen/MPRealSupport>
|
|
#include <Eigen/LU>
|
|
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<mpreal,Dynamic,Dynamic> MatrixXmp;
|
|
typedef Matrix<mpreal,Dynamic,1> 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<mpfr::mpreal>
|
|
: GenericNumTraits<mpfr::mpreal>
|
|
{
|
|
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<mpfr::mpreal>()
|
|
{
|
|
#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<double>());
|
|
#endif
|
|
}
|
|
|
|
template<> mpfr::mpreal random<mpfr::mpreal>(const mpfr::mpreal& a, const mpfr::mpreal& b)
|
|
{
|
|
return a + (b-a) * random<mpfr::mpreal>();
|
|
}
|
|
|
|
template<> struct conj_impl<mpfr::mpreal> { inline static const mpfr::mpreal& run(const mpfr::mpreal& x) { return x; } };
|
|
template<> struct real_impl<mpfr::mpreal> { inline static const mpfr::mpreal& run(const mpfr::mpreal& x) { return x; } };
|
|
template<> struct imag_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal&) { return mpfr::mpreal(0); } };
|
|
template<> struct abs_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x) { return mpfr::fabs(x); } };
|
|
template<> struct abs2_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x) { return x*x; } };
|
|
template<> struct sqrt_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x) { return mpfr::sqrt(x); } };
|
|
template<> struct exp_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x) { return mpfr::exp(x); } };
|
|
template<> struct log_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x) { return mpfr::log(x); } };
|
|
template<> struct sin_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x) { return mpfr::sin(x); } };
|
|
template<> struct cos_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x) { return mpfr::cos(x); } };
|
|
template<> struct pow_impl<mpfr::mpreal> { inline static const mpfr::mpreal run(const mpfr::mpreal& x, const mpfr::mpreal& y) { return mpfr::pow(x, y); } };
|
|
|
|
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);
|
|
}
|
|
|
|
} // end namespace internal
|
|
}
|
|
|
|
#endif // EIGEN_MPREALSUPPORT_MODULE_H
|