173 lines
6.5 KiB
C
173 lines
6.5 KiB
C
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_SPARSEUTIL_H
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#define EIGEN_SPARSEUTIL_H
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namespace Eigen {
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#ifdef NDEBUG
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#define EIGEN_DBG_SPARSE(X)
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#else
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#define EIGEN_DBG_SPARSE(X) X
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#endif
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#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename OtherDerived> \
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EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \
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{ \
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return Base::operator Op(other.derived()); \
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} \
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EIGEN_STRONG_INLINE Derived& operator Op(const Derived& other) \
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{ \
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return Base::operator Op(other); \
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}
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#define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename Other> \
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EIGEN_STRONG_INLINE Derived& operator Op(const Other& scalar) \
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{ \
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return Base::operator Op(scalar); \
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}
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#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) \
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EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \
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EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \
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EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
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EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
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EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=)
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#define _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, BaseClass) \
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typedef BaseClass Base; \
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typedef typename Eigen::internal::traits<Derived >::Scalar Scalar; \
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typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \
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typedef typename Eigen::internal::nested<Derived >::type Nested; \
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typedef typename Eigen::internal::traits<Derived >::StorageKind StorageKind; \
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typedef typename Eigen::internal::traits<Derived >::Index Index; \
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enum { RowsAtCompileTime = Eigen::internal::traits<Derived >::RowsAtCompileTime, \
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ColsAtCompileTime = Eigen::internal::traits<Derived >::ColsAtCompileTime, \
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Flags = Eigen::internal::traits<Derived >::Flags, \
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CoeffReadCost = Eigen::internal::traits<Derived >::CoeffReadCost, \
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SizeAtCompileTime = Base::SizeAtCompileTime, \
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IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \
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using Base::derived; \
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using Base::const_cast_derived;
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#define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \
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_EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase<Derived >)
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const int CoherentAccessPattern = 0x1;
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const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern;
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const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern;
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const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseMatrix;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class DynamicSparseMatrix;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseVector;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class MappedSparseMatrix;
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template<typename MatrixType, int Mode> class SparseTriangularView;
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template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView;
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template<typename Lhs, typename Rhs> class SparseDiagonalProduct;
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template<typename MatrixType> class SparseView;
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template<typename Lhs, typename Rhs> class SparseSparseProduct;
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template<typename Lhs, typename Rhs> class SparseTimeDenseProduct;
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template<typename Lhs, typename Rhs> class DenseTimeSparseProduct;
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template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct;
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template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType;
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template<typename Lhs, typename Rhs,
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int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct DenseSparseProductReturnType;
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template<typename Lhs, typename Rhs,
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int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct SparseDenseProductReturnType;
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template<typename MatrixType,int UpLo> class SparseSymmetricPermutationProduct;
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namespace internal {
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template<typename T,int Rows,int Cols> struct sparse_eval;
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template<typename T> struct eval<T,Sparse>
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: public sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime>
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{};
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template<typename T,int Cols> struct sparse_eval<T,1,Cols> {
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typedef typename traits<T>::Scalar _Scalar;
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typedef typename traits<T>::Index _Index;
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public:
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typedef SparseVector<_Scalar, RowMajor, _Index> type;
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};
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template<typename T,int Rows> struct sparse_eval<T,Rows,1> {
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typedef typename traits<T>::Scalar _Scalar;
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typedef typename traits<T>::Index _Index;
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public:
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typedef SparseVector<_Scalar, ColMajor, _Index> type;
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};
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template<typename T,int Rows,int Cols> struct sparse_eval {
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typedef typename traits<T>::Scalar _Scalar;
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typedef typename traits<T>::Index _Index;
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enum { _Options = ((traits<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
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public:
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typedef SparseMatrix<_Scalar, _Options, _Index> type;
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};
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template<typename T> struct sparse_eval<T,1,1> {
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typedef typename traits<T>::Scalar _Scalar;
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public:
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typedef Matrix<_Scalar, 1, 1> type;
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};
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template<typename T> struct plain_matrix_type<T,Sparse>
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{
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typedef typename traits<T>::Scalar _Scalar;
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typedef typename traits<T>::Index _Index;
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enum { _Options = ((traits<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
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public:
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typedef SparseMatrix<_Scalar, _Options, _Index> type;
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};
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} // end namespace internal
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/** \ingroup SparseCore_Module
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*
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* \class Triplet
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*
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* \brief A small structure to hold a non zero as a triplet (i,j,value).
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*
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* \sa SparseMatrix::setFromTriplets()
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*/
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template<typename Scalar, typename Index=typename SparseMatrix<Scalar>::Index >
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class Triplet
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{
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public:
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Triplet() : m_row(0), m_col(0), m_value(0) {}
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Triplet(const Index& i, const Index& j, const Scalar& v = Scalar(0))
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: m_row(i), m_col(j), m_value(v)
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{}
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/** \returns the row index of the element */
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const Index& row() const { return m_row; }
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/** \returns the column index of the element */
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const Index& col() const { return m_col; }
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/** \returns the value of the element */
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const Scalar& value() const { return m_value; }
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protected:
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Index m_row, m_col;
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Scalar m_value;
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};
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} // end namespace Eigen
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#endif // EIGEN_SPARSEUTIL_H
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