slascl2 (l) - Linux Manuals
slascl2: performs a diagonal scaling on a vector
Command to display slascl2
manual in Linux: $ man l slascl2
NAME
SLASCL2 - performs a diagonal scaling on a vector
SYNOPSIS
- SUBROUTINE SLASCL2
-
( M, N, D, X, LDX )
-
IMPLICIT
NONE
-
INTEGER
M, N, LDX
-
REAL
D( * ), X( LDX, * )
PURPOSE
SLASCL2 performs a diagonal scaling on a vector:
x <-- D * x
where the diagonal matrix D is stored as a vector.
Eventually to be replaced by BLAS_sge_diag_scale in the new BLAS
standard.
ARGUMENTS
- N (input) INTEGER
-
The size of the vectors X and D.
- D (input) REAL array, length N
-
Diagonal matrix D, stored as a vector of length N.
- X (input/output) REAL array, length N
-
On entry, the vector X to be scaled by D.
On exit, the scaled vector.
Pages related to slascl2
- slascl2 (3)
- slascl (l) - multiplies the M by N real matrix A by the real scalar CTO/CFROM
- slas2 (l) - computes the singular values of the 2-by-2 matrix [ F G ] [ 0 H ]
- slasd0 (l) - a divide and conquer approach, SLASD0 computes the singular value decomposition (SVD) of a real upper bidiagonal N-by-M matrix B with diagonal D and offdiagonal E, where M = N + SQRE
- slasd1 (l) - computes the SVD of an upper bidiagonal N-by-M matrix B,
- slasd2 (l) - merges the two sets of singular values together into a single sorted set
- slasd3 (l) - finds all the square roots of the roots of the secular equation, as defined by the values in D and Z
- slasd4 (l) - subroutine compute the square root of the I-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix whose entries are given as the squares of the corresponding entries in the array d, and that 0 <= D(i) < D(j) for i < j and that RHO > 0
- slasd5 (l) - subroutine compute the square root of the I-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix diag( D ) * diag( D ) + RHO The diagonal entries in the array D are assumed to satisfy 0 <= D(i) < D(j) for i < j