SparseDiagonalProduct.h
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00001 // This file is part of Eigen, a lightweight C++ template library
00002 // for linear algebra.
00003 //
00004 // Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
00005 //
00006 // This Source Code Form is subject to the terms of the Mozilla
00007 // Public License v. 2.0. If a copy of the MPL was not distributed
00008 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
00009 
00010 #ifndef EIGEN_SPARSE_DIAGONAL_PRODUCT_H
00011 #define EIGEN_SPARSE_DIAGONAL_PRODUCT_H
00012 
00013 namespace Eigen { 
00014 
00015 // The product of a diagonal matrix with a sparse matrix can be easily
00016 // implemented using expression template.
00017 // We have two consider very different cases:
00018 // 1 - diag * row-major sparse
00019 //     => each inner vector <=> scalar * sparse vector product
00020 //     => so we can reuse CwiseUnaryOp::InnerIterator
00021 // 2 - diag * col-major sparse
00022 //     => each inner vector <=> densevector * sparse vector cwise product
00023 //     => again, we can reuse specialization of CwiseBinaryOp::InnerIterator
00024 //        for that particular case
00025 // The two other cases are symmetric.
00026 
00027 namespace internal {
00028 
00029 template<typename Lhs, typename Rhs>
00030 struct traits<SparseDiagonalProduct<Lhs, Rhs> >
00031 {
00032   typedef typename remove_all<Lhs>::type _Lhs;
00033   typedef typename remove_all<Rhs>::type _Rhs;
00034   typedef typename _Lhs::Scalar Scalar;
00035   typedef typename promote_index_type<typename traits<Lhs>::Index,
00036                                          typename traits<Rhs>::Index>::type Index;
00037   typedef Sparse StorageKind;
00038   typedef MatrixXpr XprKind;
00039   enum {
00040     RowsAtCompileTime = _Lhs::RowsAtCompileTime,
00041     ColsAtCompileTime = _Rhs::ColsAtCompileTime,
00042 
00043     MaxRowsAtCompileTime = _Lhs::MaxRowsAtCompileTime,
00044     MaxColsAtCompileTime = _Rhs::MaxColsAtCompileTime,
00045 
00046     SparseFlags = is_diagonal<_Lhs>::ret ? int(_Rhs::Flags) : int(_Lhs::Flags),
00047     Flags = (SparseFlags&RowMajorBit),
00048     CoeffReadCost = Dynamic
00049   };
00050 };
00051 
00052 enum {SDP_IsDiagonal, SDP_IsSparseRowMajor, SDP_IsSparseColMajor};
00053 template<typename Lhs, typename Rhs, typename SparseDiagonalProductType, int RhsMode, int LhsMode>
00054 class sparse_diagonal_product_inner_iterator_selector;
00055 
00056 } // end namespace internal
00057 
00058 template<typename Lhs, typename Rhs>
00059 class SparseDiagonalProduct
00060   : public SparseMatrixBase<SparseDiagonalProduct<Lhs,Rhs> >,
00061     internal::no_assignment_operator
00062 {
00063     typedef typename Lhs::Nested LhsNested;
00064     typedef typename Rhs::Nested RhsNested;
00065 
00066     typedef typename internal::remove_all<LhsNested>::type _LhsNested;
00067     typedef typename internal::remove_all<RhsNested>::type _RhsNested;
00068 
00069     enum {
00070       LhsMode = internal::is_diagonal<_LhsNested>::ret ? internal::SDP_IsDiagonal
00071               : (_LhsNested::Flags&RowMajorBit) ? internal::SDP_IsSparseRowMajor : internal::SDP_IsSparseColMajor,
00072       RhsMode = internal::is_diagonal<_RhsNested>::ret ? internal::SDP_IsDiagonal
00073               : (_RhsNested::Flags&RowMajorBit) ? internal::SDP_IsSparseRowMajor : internal::SDP_IsSparseColMajor
00074     };
00075 
00076   public:
00077 
00078     EIGEN_SPARSE_PUBLIC_INTERFACE(SparseDiagonalProduct)
00079 
00080     typedef internal::sparse_diagonal_product_inner_iterator_selector
00081                       <_LhsNested,_RhsNested,SparseDiagonalProduct,LhsMode,RhsMode> InnerIterator;
00082     
00083     // We do not want ReverseInnerIterator for diagonal-sparse products,
00084     // but this dummy declaration is needed to make diag * sparse * diag compile.
00085     class ReverseInnerIterator;
00086 
00087     EIGEN_STRONG_INLINE SparseDiagonalProduct(const Lhs& lhs, const Rhs& rhs)
00088       : m_lhs(lhs), m_rhs(rhs)
00089     {
00090       eigen_assert(lhs.cols() == rhs.rows() && "invalid sparse matrix * diagonal matrix product");
00091     }
00092 
00093     EIGEN_STRONG_INLINE Index rows() const { return m_lhs.rows(); }
00094     EIGEN_STRONG_INLINE Index cols() const { return m_rhs.cols(); }
00095 
00096     EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; }
00097     EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; }
00098 
00099   protected:
00100     LhsNested m_lhs;
00101     RhsNested m_rhs;
00102 };
00103 
00104 namespace internal {
00105 
00106 template<typename Lhs, typename Rhs, typename SparseDiagonalProductType>
00107 class sparse_diagonal_product_inner_iterator_selector
00108 <Lhs,Rhs,SparseDiagonalProductType,SDP_IsDiagonal,SDP_IsSparseRowMajor>
00109   : public CwiseUnaryOp<scalar_multiple_op<typename Lhs::Scalar>,const Rhs>::InnerIterator
00110 {
00111     typedef typename CwiseUnaryOp<scalar_multiple_op<typename Lhs::Scalar>,const Rhs>::InnerIterator Base;
00112     typedef typename Lhs::Index Index;
00113   public:
00114     inline sparse_diagonal_product_inner_iterator_selector(
00115               const SparseDiagonalProductType& expr, Index outer)
00116       : Base(expr.rhs()*(expr.lhs().diagonal().coeff(outer)), outer)
00117     {}
00118 };
00119 
00120 template<typename Lhs, typename Rhs, typename SparseDiagonalProductType>
00121 class sparse_diagonal_product_inner_iterator_selector
00122 <Lhs,Rhs,SparseDiagonalProductType,SDP_IsDiagonal,SDP_IsSparseColMajor>
00123   : public CwiseBinaryOp<
00124       scalar_product_op<typename Lhs::Scalar>,
00125       const typename Rhs::ConstInnerVectorReturnType,
00126       const typename Lhs::DiagonalVectorType>::InnerIterator
00127 {
00128     typedef typename CwiseBinaryOp<
00129       scalar_product_op<typename Lhs::Scalar>,
00130       const typename Rhs::ConstInnerVectorReturnType,
00131       const typename Lhs::DiagonalVectorType>::InnerIterator Base;
00132     typedef typename Lhs::Index Index;
00133     Index m_outer;
00134   public:
00135     inline sparse_diagonal_product_inner_iterator_selector(
00136               const SparseDiagonalProductType& expr, Index outer)
00137       : Base(expr.rhs().innerVector(outer) .cwiseProduct(expr.lhs().diagonal()), 0), m_outer(outer)
00138     {}
00139     
00140     inline Index outer() const { return m_outer; }
00141     inline Index col() const { return m_outer; }
00142 };
00143 
00144 template<typename Lhs, typename Rhs, typename SparseDiagonalProductType>
00145 class sparse_diagonal_product_inner_iterator_selector
00146 <Lhs,Rhs,SparseDiagonalProductType,SDP_IsSparseColMajor,SDP_IsDiagonal>
00147   : public CwiseUnaryOp<scalar_multiple_op<typename Rhs::Scalar>,const Lhs>::InnerIterator
00148 {
00149     typedef typename CwiseUnaryOp<scalar_multiple_op<typename Rhs::Scalar>,const Lhs>::InnerIterator Base;
00150     typedef typename Lhs::Index Index;
00151   public:
00152     inline sparse_diagonal_product_inner_iterator_selector(
00153               const SparseDiagonalProductType& expr, Index outer)
00154       : Base(expr.lhs()*expr.rhs().diagonal().coeff(outer), outer)
00155     {}
00156 };
00157 
00158 template<typename Lhs, typename Rhs, typename SparseDiagonalProductType>
00159 class sparse_diagonal_product_inner_iterator_selector
00160 <Lhs,Rhs,SparseDiagonalProductType,SDP_IsSparseRowMajor,SDP_IsDiagonal>
00161   : public CwiseBinaryOp<
00162       scalar_product_op<typename Rhs::Scalar>,
00163       const typename Lhs::ConstInnerVectorReturnType,
00164       const Transpose<const typename Rhs::DiagonalVectorType> >::InnerIterator
00165 {
00166     typedef typename CwiseBinaryOp<
00167       scalar_product_op<typename Rhs::Scalar>,
00168       const typename Lhs::ConstInnerVectorReturnType,
00169       const Transpose<const typename Rhs::DiagonalVectorType> >::InnerIterator Base;
00170     typedef typename Lhs::Index Index;
00171     Index m_outer;
00172   public:
00173     inline sparse_diagonal_product_inner_iterator_selector(
00174               const SparseDiagonalProductType& expr, Index outer)
00175       : Base(expr.lhs().innerVector(outer) .cwiseProduct(expr.rhs().diagonal().transpose()), 0), m_outer(outer)
00176     {}
00177     
00178     inline Index outer() const { return m_outer; }
00179     inline Index row() const { return m_outer; }
00180 };
00181 
00182 } // end namespace internal
00183 
00184 // SparseMatrixBase functions
00185 
00186 template<typename Derived>
00187 template<typename OtherDerived>
00188 const SparseDiagonalProduct<Derived,OtherDerived>
00189 SparseMatrixBase<Derived>::operator*(const DiagonalBase<OtherDerived> &other) const
00190 {
00191   return SparseDiagonalProduct<Derived,OtherDerived>(this->derived(), other.derived());
00192 }
00193 
00194 } // end namespace Eigen
00195 
00196 #endif // EIGEN_SPARSE_DIAGONAL_PRODUCT_H


turtlebot_exploration_3d
Author(s): Bona , Shawn
autogenerated on Thu Jun 6 2019 20:59:57