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Diffstat (limited to 'third_party/eigen3/Eigen/src/Core/SelfAdjointView.h')
| -rw-r--r-- | third_party/eigen3/Eigen/src/Core/SelfAdjointView.h | 338 |
1 files changed, 0 insertions, 338 deletions
diff --git a/third_party/eigen3/Eigen/src/Core/SelfAdjointView.h b/third_party/eigen3/Eigen/src/Core/SelfAdjointView.h deleted file mode 100644 index 8231e3f5cd..0000000000 --- a/third_party/eigen3/Eigen/src/Core/SelfAdjointView.h +++ /dev/null @@ -1,338 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr> -// -// 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/. - -#ifndef EIGEN_SELFADJOINTMATRIX_H -#define EIGEN_SELFADJOINTMATRIX_H - -namespace Eigen { - -/** \class SelfAdjointView - * \ingroup Core_Module - * - * - * \brief Expression of a selfadjoint matrix from a triangular part of a dense matrix - * - * \param MatrixType the type of the dense matrix storing the coefficients - * \param TriangularPart can be either \c #Lower or \c #Upper - * - * This class is an expression of a sefladjoint matrix from a triangular part of a matrix - * with given dense storage of the coefficients. It is the return type of MatrixBase::selfadjointView() - * and most of the time this is the only way that it is used. - * - * \sa class TriangularBase, MatrixBase::selfadjointView() - */ - -namespace internal { -template<typename MatrixType, unsigned int UpLo> -struct traits<SelfAdjointView<MatrixType, UpLo> > : traits<MatrixType> -{ - typedef typename nested<MatrixType>::type MatrixTypeNested; - typedef typename remove_all<MatrixTypeNested>::type MatrixTypeNestedCleaned; - typedef MatrixType ExpressionType; - typedef typename MatrixType::PlainObject DenseMatrixType; - enum { - Mode = UpLo | SelfAdjoint, - Flags = MatrixTypeNestedCleaned::Flags & (HereditaryBits) - & (~(PacketAccessBit | DirectAccessBit | LinearAccessBit)), // FIXME these flags should be preserved - CoeffReadCost = MatrixTypeNestedCleaned::CoeffReadCost - }; -}; -} - -template <typename Lhs, int LhsMode, bool LhsIsVector, - typename Rhs, int RhsMode, bool RhsIsVector> -struct SelfadjointProductMatrix; - -// FIXME could also be called SelfAdjointWrapper to be consistent with DiagonalWrapper ?? -template<typename MatrixType, unsigned int UpLo> class SelfAdjointView - : public TriangularBase<SelfAdjointView<MatrixType, UpLo> > -{ - public: - - typedef TriangularBase<SelfAdjointView> Base; - typedef typename internal::traits<SelfAdjointView>::MatrixTypeNested MatrixTypeNested; - typedef typename internal::traits<SelfAdjointView>::MatrixTypeNestedCleaned MatrixTypeNestedCleaned; - - /** \brief The type of coefficients in this matrix */ - typedef typename internal::traits<SelfAdjointView>::Scalar Scalar; - - typedef typename MatrixType::Index Index; - - enum { - Mode = internal::traits<SelfAdjointView>::Mode - }; - typedef typename MatrixType::PlainObject PlainObject; - - EIGEN_DEVICE_FUNC - inline SelfAdjointView(MatrixType& matrix) : m_matrix(matrix) - {} - - EIGEN_DEVICE_FUNC - inline Index rows() const { return m_matrix.rows(); } - EIGEN_DEVICE_FUNC - inline Index cols() const { return m_matrix.cols(); } - EIGEN_DEVICE_FUNC - inline Index outerStride() const { return m_matrix.outerStride(); } - EIGEN_DEVICE_FUNC - inline Index innerStride() const { return m_matrix.innerStride(); } - - /** \sa MatrixBase::coeff() - * \warning the coordinates must fit into the referenced triangular part - */ - EIGEN_DEVICE_FUNC - inline Scalar coeff(Index row, Index col) const - { - Base::check_coordinates_internal(row, col); - return m_matrix.coeff(row, col); - } - - /** \sa MatrixBase::coeffRef() - * \warning the coordinates must fit into the referenced triangular part - */ - EIGEN_DEVICE_FUNC - inline Scalar& coeffRef(Index row, Index col) - { - Base::check_coordinates_internal(row, col); - return m_matrix.const_cast_derived().coeffRef(row, col); - } - - /** \internal */ - EIGEN_DEVICE_FUNC - const MatrixTypeNestedCleaned& _expression() const { return m_matrix; } - - EIGEN_DEVICE_FUNC - const MatrixTypeNestedCleaned& nestedExpression() const { return m_matrix; } - EIGEN_DEVICE_FUNC - MatrixTypeNestedCleaned& nestedExpression() { return *const_cast<MatrixTypeNestedCleaned*>(&m_matrix); } - - /** Efficient self-adjoint matrix times vector/matrix product */ - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - SelfadjointProductMatrix<MatrixType,Mode,false,OtherDerived,0,OtherDerived::IsVectorAtCompileTime> - operator*(const MatrixBase<OtherDerived>& rhs) const - { - return SelfadjointProductMatrix - <MatrixType,Mode,false,OtherDerived,0,OtherDerived::IsVectorAtCompileTime> - (m_matrix, rhs.derived()); - } - - /** Efficient vector/matrix times self-adjoint matrix product */ - template<typename OtherDerived> friend - EIGEN_DEVICE_FUNC - SelfadjointProductMatrix<OtherDerived,0,OtherDerived::IsVectorAtCompileTime,MatrixType,Mode,false> - operator*(const MatrixBase<OtherDerived>& lhs, const SelfAdjointView& rhs) - { - return SelfadjointProductMatrix - <OtherDerived,0,OtherDerived::IsVectorAtCompileTime,MatrixType,Mode,false> - (lhs.derived(),rhs.m_matrix); - } - - /** Perform a symmetric rank 2 update of the selfadjoint matrix \c *this: - * \f$ this = this + \alpha u v^* + conj(\alpha) v u^* \f$ - * \returns a reference to \c *this - * - * The vectors \a u and \c v \b must be column vectors, however they can be - * a adjoint expression without any overhead. Only the meaningful triangular - * part of the matrix is updated, the rest is left unchanged. - * - * \sa rankUpdate(const MatrixBase<DerivedU>&, Scalar) - */ - template<typename DerivedU, typename DerivedV> - EIGEN_DEVICE_FUNC - SelfAdjointView& rankUpdate(const MatrixBase<DerivedU>& u, const MatrixBase<DerivedV>& v, const Scalar& alpha = Scalar(1)); - - /** Perform a symmetric rank K update of the selfadjoint matrix \c *this: - * \f$ this = this + \alpha ( u u^* ) \f$ where \a u is a vector or matrix. - * - * \returns a reference to \c *this - * - * Note that to perform \f$ this = this + \alpha ( u^* u ) \f$ you can simply - * call this function with u.adjoint(). - * - * \sa rankUpdate(const MatrixBase<DerivedU>&, const MatrixBase<DerivedV>&, Scalar) - */ - template<typename DerivedU> - EIGEN_DEVICE_FUNC - SelfAdjointView& rankUpdate(const MatrixBase<DerivedU>& u, const Scalar& alpha = Scalar(1)); - -/////////// Cholesky module /////////// - - const LLT<PlainObject, UpLo> llt() const; - const LDLT<PlainObject, UpLo> ldlt() const; - -/////////// Eigenvalue module /////////// - - /** Real part of #Scalar */ - typedef typename NumTraits<Scalar>::Real RealScalar; - /** Return type of eigenvalues() */ - typedef Matrix<RealScalar, internal::traits<MatrixType>::ColsAtCompileTime, 1> EigenvaluesReturnType; - - EIGEN_DEVICE_FUNC - EigenvaluesReturnType eigenvalues() const; - EIGEN_DEVICE_FUNC - RealScalar operatorNorm() const; - - #ifdef EIGEN2_SUPPORT - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - SelfAdjointView& operator=(const MatrixBase<OtherDerived>& other) - { - enum { - OtherPart = UpLo == Upper ? StrictlyLower : StrictlyUpper - }; - m_matrix.const_cast_derived().template triangularView<UpLo>() = other; - m_matrix.const_cast_derived().template triangularView<OtherPart>() = other.adjoint(); - return *this; - } - template<typename OtherMatrixType, unsigned int OtherMode> - EIGEN_DEVICE_FUNC - SelfAdjointView& operator=(const TriangularView<OtherMatrixType, OtherMode>& other) - { - enum { - OtherPart = UpLo == Upper ? StrictlyLower : StrictlyUpper - }; - m_matrix.const_cast_derived().template triangularView<UpLo>() = other.toDenseMatrix(); - m_matrix.const_cast_derived().template triangularView<OtherPart>() = other.toDenseMatrix().adjoint(); - return *this; - } - #endif - - protected: - MatrixTypeNested m_matrix; -}; - - -// template<typename OtherDerived, typename MatrixType, unsigned int UpLo> -// internal::selfadjoint_matrix_product_returntype<OtherDerived,SelfAdjointView<MatrixType,UpLo> > -// operator*(const MatrixBase<OtherDerived>& lhs, const SelfAdjointView<MatrixType,UpLo>& rhs) -// { -// return internal::matrix_selfadjoint_product_returntype<OtherDerived,SelfAdjointView<MatrixType,UpLo> >(lhs.derived(),rhs); -// } - -// selfadjoint to dense matrix - -namespace internal { - -template<typename Derived1, typename Derived2, int UnrollCount, bool ClearOpposite> -struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), UnrollCount, ClearOpposite> -{ - enum { - col = (UnrollCount-1) / Derived1::RowsAtCompileTime, - row = (UnrollCount-1) % Derived1::RowsAtCompileTime - }; - - EIGEN_DEVICE_FUNC - static inline void run(Derived1 &dst, const Derived2 &src) - { - triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), UnrollCount-1, ClearOpposite>::run(dst, src); - - if(row == col) - dst.coeffRef(row, col) = numext::real(src.coeff(row, col)); - else if(row < col) - dst.coeffRef(col, row) = numext::conj(dst.coeffRef(row, col) = src.coeff(row, col)); - } -}; - -template<typename Derived1, typename Derived2, bool ClearOpposite> -struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, 0, ClearOpposite> -{ - EIGEN_DEVICE_FUNC - static inline void run(Derived1 &, const Derived2 &) {} -}; - -template<typename Derived1, typename Derived2, int UnrollCount, bool ClearOpposite> -struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), UnrollCount, ClearOpposite> -{ - enum { - col = (UnrollCount-1) / Derived1::RowsAtCompileTime, - row = (UnrollCount-1) % Derived1::RowsAtCompileTime - }; - - EIGEN_DEVICE_FUNC - static inline void run(Derived1 &dst, const Derived2 &src) - { - triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), UnrollCount-1, ClearOpposite>::run(dst, src); - - if(row == col) - dst.coeffRef(row, col) = numext::real(src.coeff(row, col)); - else if(row > col) - dst.coeffRef(col, row) = numext::conj(dst.coeffRef(row, col) = src.coeff(row, col)); - } -}; - -template<typename Derived1, typename Derived2, bool ClearOpposite> -struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, 0, ClearOpposite> -{ - EIGEN_DEVICE_FUNC - static inline void run(Derived1 &, const Derived2 &) {} -}; - -template<typename Derived1, typename Derived2, bool ClearOpposite> -struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, Dynamic, ClearOpposite> -{ - typedef typename Derived1::Index Index; - EIGEN_DEVICE_FUNC - static inline void run(Derived1 &dst, const Derived2 &src) - { - for(Index j = 0; j < dst.cols(); ++j) - { - for(Index i = 0; i < j; ++i) - { - dst.copyCoeff(i, j, src); - dst.coeffRef(j,i) = numext::conj(dst.coeff(i,j)); - } - dst.copyCoeff(j, j, src); - } - } -}; - -template<typename Derived1, typename Derived2, bool ClearOpposite> -struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, Dynamic, ClearOpposite> -{ - EIGEN_DEVICE_FUNC - static inline void run(Derived1 &dst, const Derived2 &src) - { - typedef typename Derived1::Index Index; - for(Index i = 0; i < dst.rows(); ++i) - { - for(Index j = 0; j < i; ++j) - { - dst.copyCoeff(i, j, src); - dst.coeffRef(j,i) = numext::conj(dst.coeff(i,j)); - } - dst.copyCoeff(i, i, src); - } - } -}; - -} // end namespace internal - -/*************************************************************************** -* Implementation of MatrixBase methods -***************************************************************************/ - -template<typename Derived> -template<unsigned int UpLo> -typename MatrixBase<Derived>::template ConstSelfAdjointViewReturnType<UpLo>::Type -MatrixBase<Derived>::selfadjointView() const -{ - return derived(); -} - -template<typename Derived> -template<unsigned int UpLo> -typename MatrixBase<Derived>::template SelfAdjointViewReturnType<UpLo>::Type -MatrixBase<Derived>::selfadjointView() -{ - return derived(); -} - -} // end namespace Eigen - -#endif // EIGEN_SELFADJOINTMATRIX_H |