csc_zusmm csc_zusmv csc_zussm csc_zussv csr_zusmm csr_zusmv csr_zussm csr_zussv hsc_zusmv hsr_zusmv ssc_zusmv ssr_zusmv

csr_zusmm() void csr_zusmm ( char  trans, char  order, int  m, int  n, int  nrhs, doublecomplex  alpha, const doublecomplex  val[], const int  rowptr[], const int  colind[], int  base, int  ldb, const doublecomplex  b[], doublecomplex  beta, int  ldc, doublecomplex  c[], int *  info  ) C <- αAB + βC, C <- αATB + βC or C <- αAHB + βC (Complex matrices) (CSR) Purpose This function performs one of the following matrix-vector operations for a sparse matrix in CSR format. C <- αAB + βC, C <- αA^TB + βC or C <- αA^HB + βC where α and β are scalars, A, A^T or A^H is an m x n sparse matrix, B is an n x nrhs dense matrix, and C is an m x nrhs dense matrix. Parameters [in] trans Specifies the operation to be performed. = 'N': C <- αAB + βC. = 'T': C <- αA^TB + βC. = 'C': C <- αA^TB + βC. [in] order Storage order of b[] and c[]. = 'C': Column major. = 'R': Row major. [in] m Number of rows of matrix A, A^T or A^H. (m >= 0) (If m = 0, returns without computation) [in] n Number of columns of matrix A, A^T or A^H. (n >= 0) (If n = 0, returns without computation) [in] nrhs Number of columns of matrices B and C. (nrhs >= 0) (if nrhs = 0, returns without computation) [in] alpha Scalar α [in] val[] Array val[lval] (lval >= nnz) Values of nonzero elements of matrix A (where nnz is the number of nonzero elements). [in] rowptr[] Array rowptr[lrowptr] (lrowptr >= n + 1) Row pointers of matrix A. [in] colind[] Array colind[lcolind] (lcolind >= nnz) Column indices of matrix A (where nnz is the number of nonzero elements). [in] base Indexing of rowptr[] and colind[]. = 0: Zero-based (C style) indexing: Starting index is 0. = 1: One-based (Fortran style) indexing: Starting index is 1. [in] ldb Leading dimension of two dimensional array b[]. (ldb >= n) [in] b[] Array b[lb] (lb >= n*nrhs) Matrix B. [in] beta Scalar β. [in] ldc Leading dimension of two dimensional array c[]. (ldc >= m) [in,out] c[] Array c[lc] (lc >= m*nrhs) [in] Input matrix C (If beta is supplied as zero, c[] needs not be set on input). [out] Output matrix (= αAB + βC). [out] info = 0: Successful exit. = i < 0: The (-i)-th argument is invalid.