diff options
| author | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:09:10 +0100 |
|---|---|---|
| committer | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:10:13 +0100 |
| commit | f0238cfb6997c4acfc2bd200de7295f3fa36968f (patch) | |
| tree | b215183760e4f615b9c1dabc1f116383b72a1b55 /eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h | |
| parent | 543edd372a5193d04b3de9f23c176ab439e51b31 (diff) | |
don't index Eigen
Diffstat (limited to 'eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h')
| -rw-r--r-- | eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h | 152 |
1 files changed, 0 insertions, 152 deletions
diff --git a/eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h b/eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h deleted file mode 100644 index f1084ab..0000000 --- a/eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h +++ /dev/null @@ -1,152 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr> -// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> -// -// 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/. - -// This file is a base class plugin containing matrix specifics coefficient wise functions. - -/** \returns an expression of the Schur product (coefficient wise product) of *this and \a other - * - * Example: \include MatrixBase_cwiseProduct.cpp - * Output: \verbinclude MatrixBase_cwiseProduct.out - * - * \sa class CwiseBinaryOp, cwiseAbs2 - */ -template<typename OtherDerived> -EIGEN_DEVICE_FUNC -EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product) -cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const -{ - return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product)(derived(), other.derived()); -} - -/** \returns an expression of the coefficient-wise == operator of *this and \a other - * - * \warning this performs an exact comparison, which is generally a bad idea with floating-point types. - * In order to check for equality between two vectors or matrices with floating-point coefficients, it is - * generally a far better idea to use a fuzzy comparison as provided by isApprox() and - * isMuchSmallerThan(). - * - * Example: \include MatrixBase_cwiseEqual.cpp - * Output: \verbinclude MatrixBase_cwiseEqual.out - * - * \sa cwiseNotEqual(), isApprox(), isMuchSmallerThan() - */ -template<typename OtherDerived> -EIGEN_DEVICE_FUNC -inline const CwiseBinaryOp<std::equal_to<Scalar>, const Derived, const OtherDerived> -cwiseEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const -{ - return CwiseBinaryOp<std::equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived()); -} - -/** \returns an expression of the coefficient-wise != operator of *this and \a other - * - * \warning this performs an exact comparison, which is generally a bad idea with floating-point types. - * In order to check for equality between two vectors or matrices with floating-point coefficients, it is - * generally a far better idea to use a fuzzy comparison as provided by isApprox() and - * isMuchSmallerThan(). - * - * Example: \include MatrixBase_cwiseNotEqual.cpp - * Output: \verbinclude MatrixBase_cwiseNotEqual.out - * - * \sa cwiseEqual(), isApprox(), isMuchSmallerThan() - */ -template<typename OtherDerived> -EIGEN_DEVICE_FUNC -inline const CwiseBinaryOp<std::not_equal_to<Scalar>, const Derived, const OtherDerived> -cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const -{ - return CwiseBinaryOp<std::not_equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived()); -} - -/** \returns an expression of the coefficient-wise min of *this and \a other - * - * Example: \include MatrixBase_cwiseMin.cpp - * Output: \verbinclude MatrixBase_cwiseMin.out - * - * \sa class CwiseBinaryOp, max() - */ -template<typename OtherDerived> -EIGEN_DEVICE_FUNC -EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived> -cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const -{ - return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived()); -} - -/** \returns an expression of the coefficient-wise min of *this and scalar \a other - * - * \sa class CwiseBinaryOp, min() - */ -EIGEN_DEVICE_FUNC -EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const ConstantReturnType> -cwiseMin(const Scalar &other) const -{ - return cwiseMin(Derived::Constant(rows(), cols(), other)); -} - -/** \returns an expression of the coefficient-wise max of *this and \a other - * - * Example: \include MatrixBase_cwiseMax.cpp - * Output: \verbinclude MatrixBase_cwiseMax.out - * - * \sa class CwiseBinaryOp, min() - */ -template<typename OtherDerived> -EIGEN_DEVICE_FUNC -EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived> -cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const -{ - return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived()); -} - -/** \returns an expression of the coefficient-wise max of *this and scalar \a other - * - * \sa class CwiseBinaryOp, min() - */ -EIGEN_DEVICE_FUNC -EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const ConstantReturnType> -cwiseMax(const Scalar &other) const -{ - return cwiseMax(Derived::Constant(rows(), cols(), other)); -} - - -/** \returns an expression of the coefficient-wise quotient of *this and \a other - * - * Example: \include MatrixBase_cwiseQuotient.cpp - * Output: \verbinclude MatrixBase_cwiseQuotient.out - * - * \sa class CwiseBinaryOp, cwiseProduct(), cwiseInverse() - */ -template<typename OtherDerived> -EIGEN_DEVICE_FUNC -EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived> -cwiseQuotient(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const -{ - return CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived()); -} - -typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>, const Derived, const ConstantReturnType> CwiseScalarEqualReturnType; - -/** \returns an expression of the coefficient-wise == operator of \c *this and a scalar \a s - * - * \warning this performs an exact comparison, which is generally a bad idea with floating-point types. - * In order to check for equality between two vectors or matrices with floating-point coefficients, it is - * generally a far better idea to use a fuzzy comparison as provided by isApprox() and - * isMuchSmallerThan(). - * - * \sa cwiseEqual(const MatrixBase<OtherDerived> &) const - */ -EIGEN_DEVICE_FUNC -inline const CwiseScalarEqualReturnType -cwiseEqual(const Scalar& s) const -{ - return CwiseScalarEqualReturnType(derived(), Derived::Constant(rows(), cols(), s), internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>()); -} |
