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 2by2 matrix [ F G ] [ 0 H ]
 slasd0 (l)  a divide and conquer approach, SLASD0 computes the singular value decomposition (SVD) of a real upper bidiagonal NbyM matrix B with diagonal D and offdiagonal E, where M = N + SQRE
 slasd1 (l)  computes the SVD of an upper bidiagonal NbyM 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 Ith updated eigenvalue of a positive symmetric rankone 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 Ith eigenvalue of a positive symmetric rankone modification of a 2by2 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