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https://gitlab.com/libeigen/eigen.git
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45cda6704a
(does not support complex and does not re-use the QR decomposition) * Rewrite the cache friendly product to have only one instance per scalar type ! This significantly speeds up compilation time and reduces executable size. The current drawback is that some trivial expressions might be evaluated like conjugate or negate. * Renamed "cache optimal" to "cache friendly" * Added the ability to directly access matrix data of some expressions via: - the stride()/_stride() methods - DirectAccessBit flag (replace ReferencableBit)
135 lines
4.3 KiB
C++
135 lines
4.3 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_TRANSPOSE_H
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#define EIGEN_TRANSPOSE_H
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/** \class Transpose
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*
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* \brief Expression of the transpose of a matrix
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*
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* \param MatrixType the type of the object of which we are taking the transpose
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*
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* This class represents an expression of the transpose of a matrix.
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* It is the return type of MatrixBase::transpose() and MatrixBase::adjoint()
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* and most of the time this is the only way it is used.
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*
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* \sa MatrixBase::transpose(), MatrixBase::adjoint()
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*/
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template<typename MatrixType>
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struct ei_traits<Transpose<MatrixType> >
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{
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typedef typename MatrixType::Scalar Scalar;
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typedef typename ei_nested<MatrixType>::type MatrixTypeNested;
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typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
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enum {
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RowsAtCompileTime = MatrixType::ColsAtCompileTime,
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ColsAtCompileTime = MatrixType::RowsAtCompileTime,
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MaxRowsAtCompileTime = MatrixType::MaxColsAtCompileTime,
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MaxColsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
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Flags = _MatrixTypeNested::Flags ^ RowMajorBit,
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CoeffReadCost = _MatrixTypeNested::CoeffReadCost
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};
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};
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template<typename MatrixType> class Transpose
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: public MatrixBase<Transpose<MatrixType> >
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{
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(Transpose)
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Transpose(const MatrixType& matrix) : m_matrix(matrix) {}
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EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Transpose)
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private:
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int _rows() const { return m_matrix.cols(); }
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int _cols() const { return m_matrix.rows(); }
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int _stride(void) const { return m_matrix.stride(); }
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Scalar& _coeffRef(int row, int col)
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{
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return m_matrix.const_cast_derived().coeffRef(col, row);
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}
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const Scalar _coeff(int row, int col) const
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{
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return m_matrix.coeff(col, row);
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}
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template<int LoadMode>
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PacketScalar _packetCoeff(int row, int col) const
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{
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return m_matrix.template packetCoeff<LoadMode>(col, row);
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}
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template<int LoadMode>
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void _writePacketCoeff(int row, int col, const PacketScalar& x)
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{
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m_matrix.const_cast_derived().template writePacketCoeff<LoadMode>(col, row, x);
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}
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protected:
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const typename MatrixType::Nested m_matrix;
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};
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/** \returns an expression of the transpose of *this.
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*
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* Example: \include MatrixBase_transpose.cpp
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* Output: \verbinclude MatrixBase_transpose.out
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*
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* \sa adjoint(), class DiagonalCoeffs */
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template<typename Derived>
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Transpose<Derived>
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MatrixBase<Derived>::transpose()
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{
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return Transpose<Derived>(derived());
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}
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/** This is the const version of transpose(). \sa adjoint() */
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template<typename Derived>
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const Transpose<Derived>
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MatrixBase<Derived>::transpose() const
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{
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return Transpose<Derived>(derived());
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}
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/** \returns an expression of the adjoint (i.e. conjugate transpose) of *this.
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*
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* Example: \include MatrixBase_adjoint.cpp
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* Output: \verbinclude MatrixBase_adjoint.out
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*
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* \sa transpose(), conjugate(), class Transpose, class ei_scalar_conjugate_op */
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template<typename Derived>
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const Transpose<Temporary<CwiseUnaryOp<ei_scalar_conjugate_op<typename ei_traits<Derived>::Scalar>, Derived > > >
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MatrixBase<Derived>::adjoint() const
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{
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return conjugate().temporary().transpose();
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}
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#endif // EIGEN_TRANSPOSE_H
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