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OOCholmod
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#include <sparse_matrix.h>
Public Member Functions | |
| SparseMatrix (unsigned int nrow=0, unsigned int ncol=1, bool symmetric=false, int initialNumberOfElements=200) | |
| SparseMatrix (cholmod_sparse *sparse) | |
| SparseMatrix (SparseMatrix &&move) | |
| SparseMatrix & | operator= (SparseMatrix &&other) |
| SparseMatrixIter | begin () |
| SparseMatrixIter | end () |
| void | symmetrize () |
| DenseMatrix | toDense () const |
| MatrixState | getMatrixState () const |
| bool | hasElement (unsigned int row, unsigned int column) const |
| void | append (const SparseMatrix &m) |
| double | norm (int norm) const |
| void | dropSmallEntries (double tol=1e-7f) |
| size_t | getNumberOfElements () |
| void | multiply (bool transpose, double alpha, double beta, const DenseMatrix &X, DenseMatrix &Y) |
| DenseMatrix | multiply (bool transpose, double alpha, const DenseMatrix &X) |
| void | transpose () |
| void | sumRows (DenseMatrix &outVector) |
| void | setNullSpace (DenseMatrix &N) |
| void | build () |
| SparseMatrix | copy () const |
| Factor | analyze () const |
| void | zero () |
| void | setSymmetry (Symmetry symmetry) |
| Symmetry | getSymmetry () const |
| unsigned int | getRows () const |
| unsigned int | getColumns () const |
| void | swap (SparseMatrix &other) |
| double | operator() (unsigned int row, unsigned int column=0) const |
| double & | operator() (unsigned int row, unsigned int column=0) |
| bool | operator== (const SparseMatrix &RHS) const |
| bool | operator!= (const SparseMatrix &RHS) const |
Friends | |
| class | Factor |
| class | SparseMatrixIter |
| SparseMatrix | operator+ (const SparseMatrix &LHS, const SparseMatrix &RHS) |
| SparseMatrix && | operator+ (SparseMatrix &&LHS, const SparseMatrix &RHS) |
| SparseMatrix && | operator+ (const SparseMatrix &LHS, SparseMatrix &&RHS) |
| SparseMatrix && | operator+ (SparseMatrix &&LHS, SparseMatrix &&RHS) |
| SparseMatrix | operator- (const SparseMatrix &M) |
| SparseMatrix && | operator- (SparseMatrix &&M) |
| SparseMatrix | operator- (const SparseMatrix &LHS, const SparseMatrix &RHS) |
| SparseMatrix && | operator- (SparseMatrix &&LHS, const SparseMatrix &RHS) |
| SparseMatrix && | operator- (const SparseMatrix &LHS, SparseMatrix &&RHS) |
| SparseMatrix && | operator- (SparseMatrix &&LHS, SparseMatrix &&RHS) |
| SparseMatrix | operator* (const SparseMatrix &LHS, double RHS) |
| SparseMatrix && | operator* (SparseMatrix &&LHS, double RHS) |
| SparseMatrix | operator* (double LHS, const SparseMatrix &RHS) |
| SparseMatrix && | operator* (double LHS, SparseMatrix &&RHS) |
| SparseMatrix | operator* (const SparseMatrix &LHS, const SparseMatrix &RHS) |
| DenseMatrix | operator* (const DenseMatrix &LHS, const SparseMatrix &RHS) |
| DenseMatrix | operator* (const SparseMatrix &LHS, const DenseMatrix &RHS) |
| std::ostream & | operator<< (std::ostream &os, const SparseMatrix &A) |
| SparseMatrix | transposed (const SparseMatrix &M) |
| SparseMatrix && | transposed (SparseMatrix &&M) |
| DenseMatrix | solve (const SparseMatrix &A, const DenseMatrix &b) |
| SparseMatrix | solve (const SparseMatrix &A, const SparseMatrix &b) |
| SparseMatrix | solve (const Factor &F, const SparseMatrix &b) |
The sparse matrix must be used in the following way:
| oocholmod::SparseMatrix::SparseMatrix | ( | unsigned int | nrow = 0, |
| unsigned int | ncol = 1, |
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| bool | symmetric = false, |
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| int | initialNumberOfElements = 200 |
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nrow # of rows of A ncol # of columns of A initialNumberOfElements. If exceeded (during initialization of the matrix) the number of elements will automatically grow with a factor of 1.5
| void oocholmod::SparseMatrix::append | ( | const SparseMatrix & | m | ) |
append an another matrix in the init state useful for parallel matrix assembly
| void oocholmod::SparseMatrix::dropSmallEntries | ( | double | tol = 1e-7f | ) |
Drop small entries from A, and entries in the ignored part of A if A is symmetric. keep entries with absolute values > tol
| double oocholmod::SparseMatrix::norm | ( | int | norm | ) | const |
Returns the infinity-norm or 1-norm of a sparse matrix. All xtypes are supported. type of norm: 0: inf. norm, 1: 1-norm
1.8.6
