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?la_geamv - Intel
Developer Reference for Intel® oneAPI Math Kernel Library for Fortran
LAPACK: dla_geamv
DLA_GEAMV computes a matrix-vector product using a general matrix to calculate error bounds. Download DLA_GEAMV + dependencies [TGZ] [ZIP] [TXT] !> m by n matrix. !> This function …
LAPACK: la_geamv: matrix-vector multiply |A| * |x|, general - Netlib
zla_geamv (trans, m, n, alpha, a, lda, x, incx, beta, y, incy) ZLA_GEAMV computes a matrix-vector product using a general matrix to calculate error bounds. Detailed Description
la_geamv: matrix-vector multiply |A| * |x|, general - ManKier
CLA_GEAMV computes a matrix-vector product using a general matrix to calculate error bounds. Purpose: CLA_GEAMV performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) …
zla_geamv(l) - Linux man page - Linux Documentation
ZLA_GEAMV performs one of the matrix-vector operations or y := alpha*abs(A)'*abs(x) + beta*abs(y), where alpha and beta are scalars, x and y are vectors and A is an m by n matrix. …
lapack-netlib/SRC/cla_geamv.f at master - GitHub
mirror of netlib lapack. Contribute to wellposed/lapack-netlib development by creating an account on GitHub.
LAPACK: cla_geamv
CLA_GEAMV computes a matrix-vector product using a general matrix to calculate error bounds. Download CLA_GEAMV + dependencies . Purpose:
LAPACK 3.2 - Netlib
2010年1月25日 · New fast and accurate Jacobi SVD: High accuracy SVD routine for dense matrices, which can compute tiny singular values to many more correct digits than xGESVD …
man ZLA_GEAMV (3): performs one of the matrix-vector …
ZLA_GEAMV performs one of the matrix-vector operations or y := alpha*abs(A)'*abs(x) + beta*abs(y), where alpha and beta are scalars, x and y are vectors and A is an m by n matrix. …
- 某些结果已被删除