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7 #ifndef SPECTRA_SPARSE_SYM_SHIFT_SOLVE_H
8 #define SPECTRA_SPARSE_SYM_SHIFT_SOLVE_H
11 #include <Eigen/SparseCore>
12 #include <Eigen/SparseLU>
32 template <
typename Scalar_,
int Uplo = Eigen::Lower,
int Flags = Eigen::ColMajor,
typename StorageIndex =
int>
61 template <
typename Derived>
67 "SparseSymShiftSolve: the \"Flags\" template parameter does not match the input matrix (Eigen::ColMajor/Eigen::RowMajor)");
69 if (
mat.rows() !=
mat.cols())
70 throw std::invalid_argument(
"SparseSymShiftSolve: matrix must be square");
94 throw std::invalid_argument(
"SparseSymShiftSolve: factorization failed with the given shift");
114 #endif // SPECTRA_SPARSE_SYM_SHIFT_SOLVE_H
A versatible sparse matrix representation.
ConstGenericSparseMatrix m_mat
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static const double sigma
Eigen::SparseLU< SparseMatrix > m_solver
SparseSymShiftSolve(const Eigen::SparseMatrixBase< Derived > &mat)
A matrix or vector expression mapping an existing array of data.
Base class of any sparse matrices or sparse expressions.
Sparse supernodal LU factorization for general matrices.
void set_shift(const Scalar &sigma)
void perform_op(const Scalar *x_in, Scalar *y_out) const
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
gtsam
Author(s):
autogenerated on Thu Apr 10 2025 03:03:52