File size: 7,749 Bytes
fe2b563 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 |
// 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<numext::equal_to<Scalar>, const Derived, const OtherDerived>
cwiseEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<numext::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<numext::not_equal_to<Scalar>, const Derived, const OtherDerived>
cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<numext::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<int NaNPropagation, typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>
cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>(derived(), other.derived());
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,PropagateFast>, const Derived, const OtherDerived>
cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return cwiseMin<PropagateFast>(other);
}
/** \returns an expression of the coefficient-wise min of *this and scalar \a other
*
* \sa class CwiseBinaryOp, min()
*/
template<int NaNPropagation>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const ConstantReturnType>
cwiseMin(const Scalar &other) const
{
return cwiseMin<NaNPropagation>(Derived::Constant(rows(), cols(), other));
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,PropagateFast>, const Derived, const ConstantReturnType>
cwiseMin(const Scalar &other) const
{
return cwiseMin<PropagateFast>(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<int NaNPropagation, typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>
cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>(derived(), other.derived());
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,PropagateFast>, const Derived, const OtherDerived>
cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return cwiseMax<PropagateFast>(other);
}
/** \returns an expression of the coefficient-wise max of *this and scalar \a other
*
* \sa class CwiseBinaryOp, min()
*/
template<int NaNPropagation>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const ConstantReturnType>
cwiseMax(const Scalar &other) const
{
return cwiseMax<NaNPropagation>(Derived::Constant(rows(), cols(), other));
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,PropagateFast>, const Derived, const ConstantReturnType>
cwiseMax(const Scalar &other) const
{
return cwiseMax<PropagateFast>(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>());
}
|