/usr/include/eigen3/Eigen/src/plugins/MatrixCwiseBinaryOps.h is in libeigen3-dev 3.2.2-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 | // 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_STRONG_INLINE const EIGEN_CWISE_PRODUCT_RETURN_TYPE(Derived,OtherDerived)
cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return EIGEN_CWISE_PRODUCT_RETURN_TYPE(Derived,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_cwiseEqual.cpp
* Output: \verbinclude MatrixBase_cwiseEqual.out
*
* \sa cwiseNotEqual(), isApprox(), isMuchSmallerThan()
*/
template<typename OtherDerived>
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>
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_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived, const OtherDerived>
cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<internal::scalar_min_op<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_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<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_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived, const OtherDerived>
cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<internal::scalar_max_op<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_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<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_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());
}
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