Brian Silverman | 72890c2 | 2015-09-19 14:37:37 -0400 | [diff] [blame^] | 1 | // This file is part of Eigen, a lightweight C++ template library |
| 2 | // for linear algebra. |
| 3 | // |
| 4 | // Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr> |
| 5 | // |
| 6 | // This Source Code Form is subject to the terms of the Mozilla |
| 7 | // Public License v. 2.0. If a copy of the MPL was not distributed |
| 8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| 9 | |
| 10 | #ifndef EIGEN2_MATH_FUNCTIONS_H |
| 11 | #define EIGEN2_MATH_FUNCTIONS_H |
| 12 | |
| 13 | namespace Eigen { |
| 14 | |
| 15 | template<typename T> inline typename NumTraits<T>::Real ei_real(const T& x) { return numext::real(x); } |
| 16 | template<typename T> inline typename NumTraits<T>::Real ei_imag(const T& x) { return numext::imag(x); } |
| 17 | template<typename T> inline T ei_conj(const T& x) { return numext::conj(x); } |
| 18 | template<typename T> inline typename NumTraits<T>::Real ei_abs (const T& x) { using std::abs; return abs(x); } |
| 19 | template<typename T> inline typename NumTraits<T>::Real ei_abs2(const T& x) { return numext::abs2(x); } |
| 20 | template<typename T> inline T ei_sqrt(const T& x) { using std::sqrt; return sqrt(x); } |
| 21 | template<typename T> inline T ei_exp (const T& x) { using std::exp; return exp(x); } |
| 22 | template<typename T> inline T ei_log (const T& x) { using std::log; return log(x); } |
| 23 | template<typename T> inline T ei_sin (const T& x) { using std::sin; return sin(x); } |
| 24 | template<typename T> inline T ei_cos (const T& x) { using std::cos; return cos(x); } |
| 25 | template<typename T> inline T ei_atan2(const T& x,const T& y) { using std::atan2; return atan2(x,y); } |
| 26 | template<typename T> inline T ei_pow (const T& x,const T& y) { return numext::pow(x,y); } |
| 27 | template<typename T> inline T ei_random () { return internal::random<T>(); } |
| 28 | template<typename T> inline T ei_random (const T& x, const T& y) { return internal::random(x, y); } |
| 29 | |
| 30 | template<typename T> inline T precision () { return NumTraits<T>::dummy_precision(); } |
| 31 | template<typename T> inline T machine_epsilon () { return NumTraits<T>::epsilon(); } |
| 32 | |
| 33 | |
| 34 | template<typename Scalar, typename OtherScalar> |
| 35 | inline bool ei_isMuchSmallerThan(const Scalar& x, const OtherScalar& y, |
| 36 | typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) |
| 37 | { |
| 38 | return internal::isMuchSmallerThan(x, y, precision); |
| 39 | } |
| 40 | |
| 41 | template<typename Scalar> |
| 42 | inline bool ei_isApprox(const Scalar& x, const Scalar& y, |
| 43 | typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) |
| 44 | { |
| 45 | return internal::isApprox(x, y, precision); |
| 46 | } |
| 47 | |
| 48 | template<typename Scalar> |
| 49 | inline bool ei_isApproxOrLessThan(const Scalar& x, const Scalar& y, |
| 50 | typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) |
| 51 | { |
| 52 | return internal::isApproxOrLessThan(x, y, precision); |
| 53 | } |
| 54 | |
| 55 | } // end namespace Eigen |
| 56 | |
| 57 | #endif // EIGEN2_MATH_FUNCTIONS_H |