TSparseMatBuilder Class Reference
Creates H-matrices out of sparse matrices.
#include <TMatBuilder.hh>
Inheritance diagram for TSparseMatBuilder:
Public Member Functions | |
| TSparseMatBuilder (const TSparseMatrix *sparse_mat, const TPermutation *row_perm_i2e, const TPermutation *col_perm_e2i) | |
| construct TSparseMatBuilder object with given sparse matrix and permutations | |
| TSparseMatBuilder (const TSparseMatrix *sparse_mat, const TPermutation *row_perm_i2e, const TPermutation *col_perm_e2i, const value_type_t value_type) | |
| void | set_sparse_mode (const bool b) |
| (de-) activate construction of sparse leaves | |
| void | set_use_zero_mat (const bool b) |
| (de-) activate construction of sparse leaves | |
| virtual std::unique_ptr< TMatrix > | build_leaf (const TBlockCluster *bc, const matform_t matformat, const TTruncAcc &acc) const |
| construct matrices for leaves in block cluster tree | |
| virtual std::unique_ptr< TMatrix > | build_ghost (const TBlockCluster *bc) const |
| build placeholder matrix for remote blocks | |
| virtual matform_t | matrix_format () const |
| return matrix format | |
 Public Member Functions inherited from TMatBuilder | |
| TMatBuilder (const bool coarsening=CFG::Build::coarsen) | |
| void | set_coarsening (const bool b) |
| (de-) activate coarsening with standard accuracy (default: off) | |
| void | set_coarsening (const TTruncAcc &acc) |
| activate coarsening with accuracy acc | |
| void | set_build_ghosts (const bool b) |
| void | set_bc_builder (const TBCBuilder *bc_builder) |
| set block cluster tree builder object (default: nullptr) | |
| virtual std::unique_ptr< TMatrix > | build (const TBlockClusterTree *bct, const TTruncAcc &acc, TProgressBar *progress=nullptr) const |
| build the H-matrix with block-wise accuracy defined by acc | |
| virtual std::unique_ptr< TMatrix > | build (const TBlockCluster *bc, const TTruncAcc &acc, TProgressBar *progress=nullptr) const |
| virtual std::unique_ptr< TMatrix > | build (const TBlockClusterTree *cluster, const matform_t matformat, const TTruncAcc &acc, TProgressBar *progress=nullptr) const |
| same as More... | |
| virtual std::unique_ptr< TMatrix > | build (const TBlockCluster *cluster, const matform_t matformat, const TTruncAcc &acc, TProgressBar *progress=nullptr) const |
| same as More... | |
| virtual std::unique_ptr< TBlockMatrix > | build_blocked (const TBlockCluster *bc) const |
| build blocked matrix | |
| const stat_t & | statistics () const |
| return statistics information | |
Protected Member Functions | |
| virtual std::unique_ptr< TMatrix > | thr_build (const TBlockCluster *bc, const matform_t matformat, const TTruncAcc &acc, TProgressBar *progress) const |
| threaded building process | |
Protected Attributes | |
| const TSparseMatrix * | _sparse_mat |
| sparse matrix holding coefficients | |
| const TPermutation * | _row_perm_i2e |
| mapping of of internal numbering (in row cluster tree) to external numbering (in sparse matrix) | |
| const TPermutation * | _col_perm_e2i |
| mapping of of external numbering (in sparse matrix) to internal numbering (in column cluster tree) | |
| bool | _build_sparse |
| if true, build sparse matrices in leaves (default: false) | |
| bool | _use_zero_mat |
| if true, use TZeroMatrix for off-diagonal domain-domain blocks (default: true) | |
| value_type_t | _value_type |
| value type of matrices to create (default: defined by sparse matrix) | |
Constructor & Destructor Documentation
◆ TSparseMatBuilder()
| TSparseMatBuilder | ( | const TSparseMatrix * | sparse_mat, |
| const TPermutation * | row_perm_i2e, | ||
| const TPermutation * | col_perm_e2i, | ||
| const value_type_t | value_type | ||
| ) |
construct TSparseMatBuilder object with given sparse matrix and permutations and user-defined value type
