// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // 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/. #ifndef EIGEN2_MATH_FUNCTIONS_H #define EIGEN2_MATH_FUNCTIONS_H namespace Eigen { template inline typename NumTraits::Real ei_real(const T& x) { return numext::real(x); } template inline typename NumTraits::Real ei_imag(const T& x) { return numext::imag(x); } template inline T ei_conj(const T& x) { return numext::conj(x); } template inline typename NumTraits::Real ei_abs (const T& x) { using std::abs; return abs(x); } template inline typename NumTraits::Real ei_abs2(const T& x) { return numext::abs2(x); } template inline T ei_sqrt(const T& x) { using std::sqrt; return sqrt(x); } template inline T ei_exp (const T& x) { using std::exp; return exp(x); } template inline T ei_log (const T& x) { using std::log; return log(x); } template inline T ei_sin (const T& x) { using std::sin; return sin(x); } template inline T ei_cos (const T& x) { using std::cos; return cos(x); } template inline T ei_atan2(const T& x,const T& y) { using std::atan2; return atan2(x,y); } template inline T ei_pow (const T& x,const T& y) { return numext::pow(x,y); } template inline T ei_random () { return internal::random(); } template inline T ei_random (const T& x, const T& y) { return internal::random(x, y); } template inline T precision () { return NumTraits::dummy_precision(); } template inline T machine_epsilon () { return NumTraits::epsilon(); } template inline bool ei_isMuchSmallerThan(const Scalar& x, const OtherScalar& y, typename NumTraits::Real precision = NumTraits::dummy_precision()) { return internal::isMuchSmallerThan(x, y, precision); } template inline bool ei_isApprox(const Scalar& x, const Scalar& y, typename NumTraits::Real precision = NumTraits::dummy_precision()) { return internal::isApprox(x, y, precision); } template inline bool ei_isApproxOrLessThan(const Scalar& x, const Scalar& y, typename NumTraits::Real precision = NumTraits::dummy_precision()) { return internal::isApproxOrLessThan(x, y, precision); } } // end namespace Eigen #endif // EIGEN2_MATH_FUNCTIONS_H