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Diffstat (limited to 'extern/Eigen2/Eigen/src/Core/MathFunctions.h')
| -rw-r--r-- | extern/Eigen2/Eigen/src/Core/MathFunctions.h | 295 |
1 files changed, 0 insertions, 295 deletions
diff --git a/extern/Eigen2/Eigen/src/Core/MathFunctions.h b/extern/Eigen2/Eigen/src/Core/MathFunctions.h deleted file mode 100644 index 1ee64af02c6..00000000000 --- a/extern/Eigen2/Eigen/src/Core/MathFunctions.h +++ /dev/null @@ -1,295 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. Eigen itself is part of the KDE project. -// -// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> -// -// 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 -// Eigen. If not, see <http://www.gnu.org/licenses/>. - -#ifndef EIGEN_MATHFUNCTIONS_H -#define EIGEN_MATHFUNCTIONS_H - -template<typename T> inline typename NumTraits<T>::Real precision(); -template<typename T> inline typename NumTraits<T>::Real machine_epsilon(); -template<typename T> inline T ei_random(T a, T b); -template<typename T> inline T ei_random(); -template<typename T> inline T ei_random_amplitude() -{ - if(NumTraits<T>::HasFloatingPoint) return static_cast<T>(1); - else return static_cast<T>(10); -} - -template<typename T> inline T ei_hypot(T x, T y) -{ - T _x = ei_abs(x); - T _y = ei_abs(y); - T p = std::max(_x, _y); - T q = std::min(_x, _y); - T qp = q/p; - return p * ei_sqrt(T(1) + qp*qp); -} - -/************** -*** int *** -**************/ - -template<> inline int precision<int>() { return 0; } -template<> inline int machine_epsilon<int>() { return 0; } -inline int ei_real(int x) { return x; } -inline int ei_imag(int) { return 0; } -inline int ei_conj(int x) { return x; } -inline int ei_abs(int x) { return abs(x); } -inline int ei_abs2(int x) { return x*x; } -inline int ei_sqrt(int) { ei_assert(false); return 0; } -inline int ei_exp(int) { ei_assert(false); return 0; } -inline int ei_log(int) { ei_assert(false); return 0; } -inline int ei_sin(int) { ei_assert(false); return 0; } -inline int ei_cos(int) { ei_assert(false); return 0; } -inline int ei_atan2(int, int) { ei_assert(false); return 0; } -inline int ei_pow(int x, int y) { return int(std::pow(double(x), y)); } - -template<> inline int ei_random(int a, int b) -{ - // We can't just do rand()%n as only the high-order bits are really random - return a + static_cast<int>((b-a+1) * (rand() / (RAND_MAX + 1.0))); -} -template<> inline int ei_random() -{ - return ei_random<int>(-ei_random_amplitude<int>(), ei_random_amplitude<int>()); -} -inline bool ei_isMuchSmallerThan(int a, int, int = precision<int>()) -{ - return a == 0; -} -inline bool ei_isApprox(int a, int b, int = precision<int>()) -{ - return a == b; -} -inline bool ei_isApproxOrLessThan(int a, int b, int = precision<int>()) -{ - return a <= b; -} - -/************** -*** float *** -**************/ - -template<> inline float precision<float>() { return 1e-5f; } -template<> inline float machine_epsilon<float>() { return 1.192e-07f; } -inline float ei_real(float x) { return x; } -inline float ei_imag(float) { return 0.f; } -inline float ei_conj(float x) { return x; } -inline float ei_abs(float x) { return std::abs(x); } -inline float ei_abs2(float x) { return x*x; } -inline float ei_sqrt(float x) { return std::sqrt(x); } -inline float ei_exp(float x) { return std::exp(x); } -inline float ei_log(float x) { return std::log(x); } -inline float ei_sin(float x) { return std::sin(x); } -inline float ei_cos(float x) { return std::cos(x); } -inline float ei_atan2(float y, float x) { return std::atan2(y,x); } -inline float ei_pow(float x, float y) { return std::pow(x, y); } - -template<> inline float ei_random(float a, float b) -{ -#ifdef EIGEN_NICE_RANDOM - int i; - do { i = ei_random<int>(256*int(a),256*int(b)); - } while(i==0); - return float(i)/256.f; -#else - return a + (b-a) * float(std::rand()) / float(RAND_MAX); -#endif -} -template<> inline float ei_random() -{ - return ei_random<float>(-ei_random_amplitude<float>(), ei_random_amplitude<float>()); -} -inline bool ei_isMuchSmallerThan(float a, float b, float prec = precision<float>()) -{ - return ei_abs(a) <= ei_abs(b) * prec; -} -inline bool ei_isApprox(float a, float b, float prec = precision<float>()) -{ - return ei_abs(a - b) <= std::min(ei_abs(a), ei_abs(b)) * prec; -} -inline bool ei_isApproxOrLessThan(float a, float b, float prec = precision<float>()) -{ - return a <= b || ei_isApprox(a, b, prec); -} - -/************** -*** double *** -**************/ - -template<> inline double precision<double>() { return 1e-11; } -template<> inline double machine_epsilon<double>() { return 2.220e-16; } - -inline double ei_real(double x) { return x; } -inline double ei_imag(double) { return 0.; } -inline double ei_conj(double x) { return x; } -inline double ei_abs(double x) { return std::abs(x); } -inline double ei_abs2(double x) { return x*x; } -inline double ei_sqrt(double x) { return std::sqrt(x); } -inline double ei_exp(double x) { return std::exp(x); } -inline double ei_log(double x) { return std::log(x); } -inline double ei_sin(double x) { return std::sin(x); } -inline double ei_cos(double x) { return std::cos(x); } -inline double ei_atan2(double y, double x) { return std::atan2(y,x); } -inline double ei_pow(double x, double y) { return std::pow(x, y); } - -template<> inline double ei_random(double a, double b) -{ -#ifdef EIGEN_NICE_RANDOM - int i; - do { i= ei_random<int>(256*int(a),256*int(b)); - } while(i==0); - return i/256.; -#else - return a + (b-a) * std::rand() / RAND_MAX; -#endif -} -template<> inline double ei_random() -{ - return ei_random<double>(-ei_random_amplitude<double>(), ei_random_amplitude<double>()); -} -inline bool ei_isMuchSmallerThan(double a, double b, double prec = precision<double>()) -{ - return ei_abs(a) <= ei_abs(b) * prec; -} -inline bool ei_isApprox(double a, double b, double prec = precision<double>()) -{ - return ei_abs(a - b) <= std::min(ei_abs(a), ei_abs(b)) * prec; -} -inline bool ei_isApproxOrLessThan(double a, double b, double prec = precision<double>()) -{ - return a <= b || ei_isApprox(a, b, prec); -} - -/********************* -*** complex<float> *** -*********************/ - -template<> inline float precision<std::complex<float> >() { return precision<float>(); } -template<> inline float machine_epsilon<std::complex<float> >() { return machine_epsilon<float>(); } -inline float ei_real(const std::complex<float>& x) { return std::real(x); } -inline float ei_imag(const std::complex<float>& x) { return std::imag(x); } -inline std::complex<float> ei_conj(const std::complex<float>& x) { return std::conj(x); } -inline float ei_abs(const std::complex<float>& x) { return std::abs(x); } -inline float ei_abs2(const std::complex<float>& x) { return std::norm(x); } -inline std::complex<float> ei_exp(std::complex<float> x) { return std::exp(x); } -inline std::complex<float> ei_sin(std::complex<float> x) { return std::sin(x); } -inline std::complex<float> ei_cos(std::complex<float> x) { return std::cos(x); } -inline std::complex<float> ei_atan2(std::complex<float>, std::complex<float> ) { ei_assert(false); return 0; } - -template<> inline std::complex<float> ei_random() -{ - return std::complex<float>(ei_random<float>(), ei_random<float>()); -} -inline bool ei_isMuchSmallerThan(const std::complex<float>& a, const std::complex<float>& b, float prec = precision<float>()) -{ - return ei_abs2(a) <= ei_abs2(b) * prec * prec; -} -inline bool ei_isMuchSmallerThan(const std::complex<float>& a, float b, float prec = precision<float>()) -{ - return ei_abs2(a) <= ei_abs2(b) * prec * prec; -} -inline bool ei_isApprox(const std::complex<float>& a, const std::complex<float>& b, float prec = precision<float>()) -{ - return ei_isApprox(ei_real(a), ei_real(b), prec) - && ei_isApprox(ei_imag(a), ei_imag(b), prec); -} -// ei_isApproxOrLessThan wouldn't make sense for complex numbers - -/********************** -*** complex<double> *** -**********************/ - -template<> inline double precision<std::complex<double> >() { return precision<double>(); } -template<> inline double machine_epsilon<std::complex<double> >() { return machine_epsilon<double>(); } -inline double ei_real(const std::complex<double>& x) { return std::real(x); } -inline double ei_imag(const std::complex<double>& x) { return std::imag(x); } -inline std::complex<double> ei_conj(const std::complex<double>& x) { return std::conj(x); } -inline double ei_abs(const std::complex<double>& x) { return std::abs(x); } -inline double ei_abs2(const std::complex<double>& x) { return std::norm(x); } -inline std::complex<double> ei_exp(std::complex<double> x) { return std::exp(x); } -inline std::complex<double> ei_sin(std::complex<double> x) { return std::sin(x); } -inline std::complex<double> ei_cos(std::complex<double> x) { return std::cos(x); } -inline std::complex<double> ei_atan2(std::complex<double>, std::complex<double>) { ei_assert(false); return 0; } - -template<> inline std::complex<double> ei_random() -{ - return std::complex<double>(ei_random<double>(), ei_random<double>()); -} -inline bool ei_isMuchSmallerThan(const std::complex<double>& a, const std::complex<double>& b, double prec = precision<double>()) -{ - return ei_abs2(a) <= ei_abs2(b) * prec * prec; -} -inline bool ei_isMuchSmallerThan(const std::complex<double>& a, double b, double prec = precision<double>()) -{ - return ei_abs2(a) <= ei_abs2(b) * prec * prec; -} -inline bool ei_isApprox(const std::complex<double>& a, const std::complex<double>& b, double prec = precision<double>()) -{ - return ei_isApprox(ei_real(a), ei_real(b), prec) - && ei_isApprox(ei_imag(a), ei_imag(b), prec); -} -// ei_isApproxOrLessThan wouldn't make sense for complex numbers - - -/****************** -*** long double *** -******************/ - -template<> inline long double precision<long double>() { return precision<double>(); } -template<> inline long double machine_epsilon<long double>() { return 1.084e-19l; } -inline long double ei_real(long double x) { return x; } -inline long double ei_imag(long double) { return 0.; } -inline long double ei_conj(long double x) { return x; } -inline long double ei_abs(long double x) { return std::abs(x); } -inline long double ei_abs2(long double x) { return x*x; } -inline long double ei_sqrt(long double x) { return std::sqrt(x); } -inline long double ei_exp(long double x) { return std::exp(x); } -inline long double ei_log(long double x) { return std::log(x); } -inline long double ei_sin(long double x) { return std::sin(x); } -inline long double ei_cos(long double x) { return std::cos(x); } -inline long double ei_atan2(long double y, long double x) { return std::atan2(y,x); } -inline long double ei_pow(long double x, long double y) { return std::pow(x, y); } - -template<> inline long double ei_random(long double a, long double b) -{ - return ei_random<double>(static_cast<double>(a),static_cast<double>(b)); -} -template<> inline long double ei_random() -{ - return ei_random<double>(-ei_random_amplitude<double>(), ei_random_amplitude<double>()); -} -inline bool ei_isMuchSmallerThan(long double a, long double b, long double prec = precision<long double>()) -{ - return ei_abs(a) <= ei_abs(b) * prec; -} -inline bool ei_isApprox(long double a, long double b, long double prec = precision<long double>()) -{ - return ei_abs(a - b) <= std::min(ei_abs(a), ei_abs(b)) * prec; -} -inline bool ei_isApproxOrLessThan(long double a, long double b, long double prec = precision<long double>()) -{ - return a <= b || ei_isApprox(a, b, prec); -} - -#endif // EIGEN_MATHFUNCTIONS_H |