single: sparse BLAS single: BLAS, sparse
Note
번역중
The Sparse Basic Linear Algebra Subprograms () define a set of fundamental operations on vectors and sparse matrices which can be used to create optimized higher-level linear algebra functionality. GSL supports a limited number of BLAS operations for sparse matrices.
The header file gsl_spblas.h contains the prototypes for the sparse BLAS functions and related declarations.
single: sparse matrices, BLAS operations
int gsl_spblas_dgemv (const CBLAS_TRANSPOSE_t TransA, const double alpha, const gsl_spmatrix * A, const gsl_vector * x, const double beta, gsl_vector * y)
This function computes the matrix-vector product and sum y ← αop(A)x + βy, where op(A) = A, AT for TransA = CblasNoTrans, CblasTrans. In-place computations are not supported, so x and y must be distinct vectors. The matrix A may be in triplet or compressed format.
int gsl_spblas_dgemm (const double alpha, const gsl_spmatrix * A, const gsl_spmatrix * B, gsl_spmatrix * C)
This function computes the sparse matrix-matrix product C = αAB. The matrices must be in compressed format.
single: sparse BLAS, references
The algorithms used by these functions are described in the following sources:
- Davis, T. A., Direct Methods for Sparse Linear Systems, SIAM, 2006.
- CSparse software library, https://www.cise.ufl.edu/research/sparse/CSparse