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  /external/eigen/Eigen/src/IterativeLinearSolvers/
IncompleteCholesky.h 61 typedef SparseMatrix<Scalar,ColMajor,StorageIndex> FactorType;
  /external/eigen/Eigen/src/PardisoSupport/
PardisoSupport.h 114 typedef SparseMatrix<Scalar,RowMajor,StorageIndex> SparseMatrixType;
377 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
430 * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
492 * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
  /external/eigen/Eigen/src/SparseCore/
SparseVector.h 209 /** \copydoc SparseMatrix::prune(const Scalar&,const RealScalar&) */
294 inline void swap(SparseMatrix<Scalar,OtherOptions,StorageIndex>& other)
  /external/eigen/Eigen/src/OrderingMethods/
Amd.h 94 void minimum_degree_ordering(SparseMatrix<Scalar,ColMajor,StorageIndex>& C, PermutationMatrix<Dynamic,Dynamic,StorageIndex>& perm)
  /external/eigen/Eigen/src/PaStiXSupport/
PaStiXSupport.h 143 typedef SparseMatrix<Scalar, ColMajor> ColSpMatrix;
400 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
516 * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
600 * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
  /external/eigen/Eigen/src/SparseLU/
SparseLU.h 46 * SparseMatrix<double, ColMajor> A;
47 * SparseLU<SparseMatrix<scalar, ColMajor>, COLAMDOrdering<Index> > solver;
65 * \tparam _MatrixType The type of the sparse matrix. It must be a column-major SparseMatrix<>
87 typedef SparseMatrix<Scalar,ColMajor,StorageIndex> NCMatrix;
  /external/eigen/Eigen/src/SuperLUSupport/
SuperLUSupport.h 332 typedef SparseMatrix<Scalar> LUMatrixType;
479 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
834 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
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  /external/eigen/unsupported/Eigen/src/SparseExtra/
BlockSparseMatrix.h 410 typedef SparseMatrix<bool,MatrixType::Options,typename MatrixType::Index> MatrixPatternType;
637 * The best approach is like in SparseMatrix::setFromTriplets()
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