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  /external/eigen/Eigen/src/SparseCore/
MappedSparseMatrix.h 26 struct traits<MappedSparseMatrix<_Scalar, _Flags, _Index> > : traits<SparseMatrix<_Scalar, _Flags, _Index> >
  /external/eigen/bench/
BenchSparseUtil.h 25 typedef SparseMatrix<Scalar> EigenSparseMatrix;
sparse_cholesky.cpp 41 // typedef SparseMatrix<Scalar,UpperTriangular> EigenSparseTriMatrix;
42 typedef SparseMatrix<Scalar,SelfAdjoint|LowerTriangular> EigenSparseSelfAdjointMatrix;
  /external/eigen/unsupported/Eigen/src/IterativeSolvers/
ConstrainedConjGrad.h 124 SparseMatrix<Scalar,RowMajor> CINV(C.rows(), C.cols());
  /external/ceres-solver/internal/ceres/
compressed_row_sparse_matrix_test.cc 48 void CompareMatrices(const SparseMatrix* a, const SparseMatrix* b) {
trust_region_minimizer.cc 110 void TrustRegionMinimizer::EstimateScale(const SparseMatrix& jacobian,
132 SparseMatrix* jacobian = CHECK_NOTNULL(options_.jacobian);
covariance_impl.cc 667 typedef Eigen::SparseMatrix<double, Eigen::ColMajor> EigenSparseMatrix;
solver_impl.cc 101 scoped_ptr<SparseMatrix> jacobian(evaluator->CreateJacobian());
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  /external/eigen/Eigen/src/SparseQR/
SparseQR.h 57 * \tparam _MatrixType The type of the sparse matrix A, must be a column-major SparseMatrix<>
61 * \warning The input sparse matrix A must be in compressed mode (see SparseMatrix::makeCompressed()).
73 typedef SparseMatrix<Scalar,ColMajor,Index> QRMatrixType;
83 * \warning The matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed()).
94 * \warning The matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed()).
136 * To get a plain SparseMatrix representation of Q:
138 * SparseMatrix<double> Q;
139 * Q = SparseQR<SparseMatrix<double> >(A).matrixQ();
240 SparseMatrix<Scalar, RowMajor, Index> mQrm(this->m_Q);
273 * \warning The matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed())
    [all...]
  /external/eigen/Eigen/src/SPQRSupport/
SuiteSparseQRSupport.h 49 * R is the sparse triangular factor. Use matrixQR() to get it as SparseMatrix.
52 * \tparam _MatrixType The type of the sparse matrix A, must be a column-major SparseMatrix<>
63 typedef SparseMatrix<Scalar, ColMajor, Index> MatrixType;
  /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/
LevenbergMarquardt.h 75 typedef SparseMatrix<Scalar, ColMajor, Index> JacobianType;
  /external/eigen/Eigen/src/OrderingMethods/
Amd.h 88 * The input matrix \a C must be a selfadjoint compressed column major SparseMatrix object. Both the upper and lower parts have to be stored, but the diagonal entries are optional.
91 void minimum_degree_ordering(SparseMatrix<Scalar,ColMajor,Index>& C, PermutationMatrix<Dynamic,Dynamic,Index>& perm)
  /external/eigen/Eigen/src/PaStiXSupport/
PaStiXSupport.h 129 typedef SparseMatrix<Scalar, ColMajor> ColSpMatrix;
421 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
535 * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
616 * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
  /external/eigen/Eigen/src/PardisoSupport/
PardisoSupport.h 107 typedef SparseMatrix<Scalar,RowMajor,Index> SparseMatrixType;
400 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
450 * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
510 * \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<>
81 typedef SparseMatrix<Scalar,ColMajor,Index> NCMatrix;
  /external/eigen/Eigen/src/SuperLUSupport/
SuperLUSupport.h 301 typedef SparseMatrix<Scalar> LUMatrixType;
474 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
815 * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>

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