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Diffstat (limited to 'extern/Eigen2/Eigen/src/Sparse/MappedSparseMatrix.h')
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_MAPPED_SPARSEMATRIX_H
+#define EIGEN_MAPPED_SPARSEMATRIX_H
+
+/** \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.
+ *
+ */
+template<typename _Scalar, int _Flags>
+struct ei_traits<MappedSparseMatrix<_Scalar, _Flags> > : ei_traits<SparseMatrix<_Scalar, _Flags> >
+{};
+
+template<typename _Scalar, int _Flags>
+class MappedSparseMatrix
+ : public SparseMatrixBase<MappedSparseMatrix<_Scalar, _Flags> >
+{
+ public:
+ EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(MappedSparseMatrix)
+
+ protected:
+ enum { IsRowMajor = Base::IsRowMajor };
+
+ int m_outerSize;
+ int m_innerSize;
+ int m_nnz;
+ int* m_outerIndex;
+ int* m_innerIndices;
+ Scalar* m_values;
+
+ public:
+
+ inline int rows() const { return IsRowMajor ? m_outerSize : m_innerSize; }
+ inline int cols() const { return IsRowMajor ? m_innerSize : m_outerSize; }
+ inline int innerSize() const { return m_innerSize; }
+ inline int outerSize() const { return m_outerSize; }
+ inline int innerNonZeros(int j) const { return m_outerIndex[j+1]-m_outerIndex[j]; }
+
+ //----------------------------------------
+ // direct access interface
+ inline const Scalar* _valuePtr() const { return m_values; }
+ inline Scalar* _valuePtr() { return m_values; }
+
+ inline const int* _innerIndexPtr() const { return m_innerIndices; }
+ inline int* _innerIndexPtr() { return m_innerIndices; }
+
+ inline const int* _outerIndexPtr() const { return m_outerIndex; }
+ inline int* _outerIndexPtr() { return m_outerIndex; }
+ //----------------------------------------
+
+ inline Scalar coeff(int row, int col) const
+ {
+ const int outer = RowMajor ? row : col;
+ const int inner = RowMajor ? col : row;
+
+ int start = m_outerIndex[outer];
+ int 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 int* r = std::lower_bound(&m_innerIndices[start],&m_innerIndices[end-1],inner);
+ const int id = r-&m_innerIndices[0];
+ return ((*r==inner) && (id<end)) ? m_values[id] : Scalar(0);
+ }
+
+ inline Scalar& coeffRef(int row, int col)
+ {
+ const int outer = RowMajor ? row : col;
+ const int inner = RowMajor ? col : row;
+
+ int start = m_outerIndex[outer];
+ int end = m_outerIndex[outer+1];
+ ei_assert(end>=start && "you probably called coeffRef on a non finalized matrix");
+ ei_assert(end>start && "coeffRef cannot be called on a zero coefficient");
+ int* r = std::lower_bound(&m_innerIndices[start],&m_innerIndices[end],inner);
+ const int id = r-&m_innerIndices[0];
+ ei_assert((*r==inner) && (id<end) && "coeffRef cannot be called on a zero coefficient");
+ return m_values[id];
+ }
+
+ class InnerIterator;
+
+ /** \returns the number of non zero coefficients */
+ inline int nonZeros() const { return m_nnz; }
+
+ inline MappedSparseMatrix(int rows, int cols, int nnz, int* outerIndexPtr, int* 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)
+ {}
+
+ #ifdef EIGEN_TAUCS_SUPPORT
+ explicit MappedSparseMatrix(taucs_ccs_matrix& taucsMatrix);
+ #endif
+
+ #ifdef EIGEN_CHOLMOD_SUPPORT
+ explicit MappedSparseMatrix(cholmod_sparse& cholmodMatrix);
+ #endif
+
+ #ifdef EIGEN_SUPERLU_SUPPORT
+ explicit MappedSparseMatrix(SluMatrix& sluMatrix);
+ #endif
+
+ /** Empty destructor */
+ inline ~MappedSparseMatrix() {}
+};
+
+template<typename Scalar, int _Flags>
+class MappedSparseMatrix<Scalar,_Flags>::InnerIterator
+{
+ public:
+ InnerIterator(const MappedSparseMatrix& mat, int outer)
+ : m_matrix(mat),
+ m_outer(outer),
+ m_id(mat._outerIndexPtr()[outer]),
+ m_start(m_id),
+ m_end(mat._outerIndexPtr()[outer+1])
+ {}
+
+ template<unsigned int Added, unsigned int Removed>
+ InnerIterator(const Flagged<MappedSparseMatrix,Added,Removed>& mat, int outer)
+ : m_matrix(mat._expression()), m_id(m_matrix._outerIndexPtr()[outer]),
+ m_start(m_id), m_end(m_matrix._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 int index() const { return m_matrix._innerIndexPtr()[m_id]; }
+ inline int row() const { return IsRowMajor ? m_outer : index(); }
+ inline int 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 int m_outer;
+ int m_id;
+ const int m_start;
+ const int m_end;
+};
+
+#endif // EIGEN_MAPPED_SPARSEMATRIX_H