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author | Daniel Genrich <daniel.genrich@gmx.net> | 2012-10-15 20:29:23 +0400 |
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committer | Daniel Genrich <daniel.genrich@gmx.net> | 2012-10-15 20:29:23 +0400 |
commit | 827c70abd8c81089af13c4738e0586bf44e501ea (patch) | |
tree | 2485e8cadb6fcc7363322431eebd22fe846de858 /extern/Eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h | |
parent | e3ea7187cedfb92741dc6667a604a873a56670e7 (diff) |
Update to stable Eigen 3.1.1
- Fixes several bugs within the Eigen library:
http://eigen.tuxfamily.org/index.php?title=ChangeLog#Eigen_3.1.1
Diffstat (limited to 'extern/Eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h')
-rw-r--r-- | extern/Eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h | 179 |
1 files changed, 179 insertions, 0 deletions
diff --git a/extern/Eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h b/extern/Eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h new file mode 100644 index 00000000000..93cd4832dea --- /dev/null +++ b/extern/Eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h @@ -0,0 +1,179 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2008 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_MAPPED_SPARSEMATRIX_H +#define EIGEN_MAPPED_SPARSEMATRIX_H + +namespace Eigen { + +/** \class MappedSparseMatrix + * + * \brief Sparse matrix + * + * \param _Scalar the scalar type, i.e. the type of the coefficients + * + * See http://www.netlib.org/linalg/html_templates/node91.html for details on the storage scheme. + * + */ +namespace internal { +template<typename _Scalar, int _Flags, typename _Index> +struct traits<MappedSparseMatrix<_Scalar, _Flags, _Index> > : traits<SparseMatrix<_Scalar, _Flags, _Index> > +{}; +} + +template<typename _Scalar, int _Flags, typename _Index> +class MappedSparseMatrix + : public SparseMatrixBase<MappedSparseMatrix<_Scalar, _Flags, _Index> > +{ + public: + EIGEN_SPARSE_PUBLIC_INTERFACE(MappedSparseMatrix) + enum { IsRowMajor = Base::IsRowMajor }; + + protected: + + Index m_outerSize; + Index m_innerSize; + Index m_nnz; + Index* m_outerIndex; + Index* m_innerIndices; + Scalar* m_values; + + public: + + inline Index rows() const { return IsRowMajor ? m_outerSize : m_innerSize; } + inline Index cols() const { return IsRowMajor ? m_innerSize : m_outerSize; } + inline Index innerSize() const { return m_innerSize; } + inline Index outerSize() const { return m_outerSize; } + + //---------------------------------------- + // direct access interface + inline const Scalar* valuePtr() const { return m_values; } + inline Scalar* valuePtr() { return m_values; } + + inline const Index* innerIndexPtr() const { return m_innerIndices; } + inline Index* innerIndexPtr() { return m_innerIndices; } + + inline const Index* outerIndexPtr() const { return m_outerIndex; } + inline Index* outerIndexPtr() { return m_outerIndex; } + //---------------------------------------- + + inline Scalar coeff(Index row, Index col) const + { + const Index outer = IsRowMajor ? row : col; + const Index inner = IsRowMajor ? col : row; + + Index start = m_outerIndex[outer]; + Index end = m_outerIndex[outer+1]; + if (start==end) + return Scalar(0); + else if (end>0 && inner==m_innerIndices[end-1]) + return m_values[end-1]; + // ^^ optimization: let's first check if it is the last coefficient + // (very common in high level algorithms) + + const Index* r = std::lower_bound(&m_innerIndices[start],&m_innerIndices[end-1],inner); + const Index id = r-&m_innerIndices[0]; + return ((*r==inner) && (id<end)) ? m_values[id] : Scalar(0); + } + + inline Scalar& coeffRef(Index row, Index col) + { + const Index outer = IsRowMajor ? row : col; + const Index inner = IsRowMajor ? col : row; + + Index start = m_outerIndex[outer]; + Index end = m_outerIndex[outer+1]; + eigen_assert(end>=start && "you probably called coeffRef on a non finalized matrix"); + eigen_assert(end>start && "coeffRef cannot be called on a zero coefficient"); + Index* r = std::lower_bound(&m_innerIndices[start],&m_innerIndices[end],inner); + const Index id = r-&m_innerIndices[0]; + eigen_assert((*r==inner) && (id<end) && "coeffRef cannot be called on a zero coefficient"); + return m_values[id]; + } + + class InnerIterator; + class ReverseInnerIterator; + + /** \returns the number of non zero coefficients */ + inline Index nonZeros() const { return m_nnz; } + + inline MappedSparseMatrix(Index rows, Index cols, Index nnz, Index* outerIndexPtr, Index* innerIndexPtr, Scalar* valuePtr) + : m_outerSize(IsRowMajor?rows:cols), m_innerSize(IsRowMajor?cols:rows), m_nnz(nnz), m_outerIndex(outerIndexPtr), + m_innerIndices(innerIndexPtr), m_values(valuePtr) + {} + + /** Empty destructor */ + inline ~MappedSparseMatrix() {} +}; + +template<typename Scalar, int _Flags, typename _Index> +class MappedSparseMatrix<Scalar,_Flags,_Index>::InnerIterator +{ + public: + InnerIterator(const MappedSparseMatrix& mat, Index outer) + : m_matrix(mat), + m_outer(outer), + m_id(mat.outerIndexPtr()[outer]), + m_start(m_id), + m_end(mat.outerIndexPtr()[outer+1]) + {} + + inline InnerIterator& operator++() { m_id++; return *this; } + + inline Scalar value() const { return m_matrix.valuePtr()[m_id]; } + inline Scalar& valueRef() { return const_cast<Scalar&>(m_matrix.valuePtr()[m_id]); } + + inline Index index() const { return m_matrix.innerIndexPtr()[m_id]; } + inline Index row() const { return IsRowMajor ? m_outer : index(); } + inline Index col() const { return IsRowMajor ? index() : m_outer; } + + inline operator bool() const { return (m_id < m_end) && (m_id>=m_start); } + + protected: + const MappedSparseMatrix& m_matrix; + const Index m_outer; + Index m_id; + const Index m_start; + const Index m_end; +}; + +template<typename Scalar, int _Flags, typename _Index> +class MappedSparseMatrix<Scalar,_Flags,_Index>::ReverseInnerIterator +{ + public: + ReverseInnerIterator(const MappedSparseMatrix& mat, Index outer) + : m_matrix(mat), + m_outer(outer), + m_id(mat.outerIndexPtr()[outer+1]), + m_start(mat.outerIndexPtr()[outer]), + m_end(m_id) + {} + + inline ReverseInnerIterator& operator--() { m_id--; return *this; } + + inline Scalar value() const { return m_matrix.valuePtr()[m_id-1]; } + inline Scalar& valueRef() { return const_cast<Scalar&>(m_matrix.valuePtr()[m_id-1]); } + + inline Index index() const { return m_matrix.innerIndexPtr()[m_id-1]; } + inline Index row() const { return IsRowMajor ? m_outer : index(); } + inline Index col() const { return IsRowMajor ? index() : m_outer; } + + inline operator bool() const { return (m_id <= m_end) && (m_id>m_start); } + + protected: + const MappedSparseMatrix& m_matrix; + const Index m_outer; + Index m_id; + const Index m_start; + const Index m_end; +}; + +} // end namespace Eigen + +#endif // EIGEN_MAPPED_SPARSEMATRIX_H |