| /external/ceres-solver/internal/ceres/ |
| H A D | sparse_matrix.cc | 36 SparseMatrix::~SparseMatrix() {
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| H A D | sparse_matrix.h | 65 class SparseMatrix : public LinearOperator { class in namespace:ceres::internal
67 virtual ~SparseMatrix();
94 // array depends on the particular kind of SparseMatrix being
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| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| H A D | LMqrsolv.h | 104 SparseMatrix<Scalar,_Options,Index> &s,
112 typedef SparseMatrix<Scalar,RowMajor,Index> FactorType;
103 lmqrsolv( SparseMatrix<Scalar,_Options,Index> &s, const PermutationMatrix<Dynamic,Dynamic> &iPerm, const Matrix<Scalar,Dynamic,1> &diag, const Matrix<Scalar,Dynamic,1> &qtb, Matrix<Scalar,Dynamic,1> &x, Matrix<Scalar,Dynamic,1> &sdiag) argument
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| /external/eigen/bench/spbench/ |
| H A D | spbenchsolver.h | 305 void SelectSolvers(const SparseMatrix<Scalar>&A, unsigned int sym, Matrix<Scalar, Dynamic, 1>& b, const Matrix<Scalar, Dynamic, 1>& refX, std::string& statFile) argument
307 typedef SparseMatrix<Scalar, ColMajor> SpMat;
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| /external/eigen/unsupported/Eigen/src/KroneckerProduct/ |
| H A D | KroneckerTensorProduct.h | 17 template<typename Scalar, int Options, typename Index> class SparseMatrix;
98 operator SparseMatrix<Scalar, Options, Index>()
100 SparseMatrix<Scalar, Options, Index> result;
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| /external/eigen/Eigen/src/SparseCore/ |
| H A D | SparseMatrix.h | 17 * \class SparseMatrix
43 struct traits<SparseMatrix<_Scalar, _Options, _Index> >
61 struct traits<Diagonal<const SparseMatrix<_Scalar, _Options, _Index>, DiagIndex> >
63 typedef SparseMatrix<_Scalar, _Options, _Index> MatrixType;
85 class SparseMatrix class in namespace:Eigen
86 : public SparseMatrixBase<SparseMatrix<_Scalar, _Options, _Index> >
89 EIGEN_SPARSE_PUBLIC_INTERFACE(SparseMatrix)
90 EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(SparseMatrix, +=)
91 EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(SparseMatrix, -=)
102 typedef SparseMatrix<Scala
629 inline SparseMatrix() function in class:Eigen::SparseMatrix
637 inline SparseMatrix(Index rows, Index cols) function in class:Eigen::SparseMatrix
646 inline SparseMatrix(const SparseMatrixBase<OtherDerived>& other) function in class:Eigen::SparseMatrix
657 inline SparseMatrix(const SparseSelfAdjointView<OtherDerived, UpLo>& other) function in class:Eigen::SparseMatrix
665 inline SparseMatrix(const SparseMatrix& other) function in class:Eigen::SparseMatrix
674 SparseMatrix(const ReturnByValue<OtherDerived>& other) function in class:Eigen::SparseMatrix
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| /external/eigen/Eigen/src/CholmodSupport/ |
| H A D | CholmodSupport.h | 52 cholmod_sparse viewAsCholmod(SparseMatrix<_Scalar,_Options,_Index>& mat)
99 const cholmod_sparse viewAsCholmod(const SparseMatrix<_Scalar,_Options,_Index>& mat) argument
108 cholmod_sparse viewAsCholmod(const SparseSelfAdjointView<SparseMatrix<_Scalar,_Options,_Index>, UpLo>& mat)
315 void _solve(const SparseMatrix<RhsScalar,RhsOptions,RhsIndex> &b, SparseMatrix<DestScalar,DestOptions,DestIndex> &dest) const argument
375 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
379 * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
422 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
426 * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
467 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
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