dlascl2 (l) - Linux Manuals

dlascl2: performs a diagonal scaling on a vector

NAME

DLASCL2 - performs a diagonal scaling on a vector

SYNOPSIS

SUBROUTINE DLASCL2
( M, N, D, X, LDX )

    
IMPLICIT NONE

    
INTEGER M, N, LDX

    
DOUBLE PRECISION D( * ), X( LDX, * )

PURPOSE

DLASCL2 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) DOUBLE PRECISION array, length N
Diagonal matrix D, stored as a vector of length N.
X (input/output) DOUBLE PRECISION array, length N
On entry, the vector X to be scaled by D. On exit, the scaled vector.

Pages related to dlascl2

  • dlascl2 (3)
  • dlascl (l) - multiplies the M by N real matrix A by the real scalar CTO/CFROM
  • dlas2 (l) - computes the singular values of the 2-by-2 matrix [ F G ] [ 0 H ]
  • dlasd0 (l) - a divide and conquer approach, DLASD0 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
  • dlasd1 (l) - computes the SVD of an upper bidiagonal N-by-M matrix B,
  • dlasd2 (l) - merges the two sets of singular values together into a single sorted set
  • dlasd3 (l) - finds all the square roots of the roots of the secular equation, as defined by the values in D and Z
  • dlasd4 (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
  • dlasd5 (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