dlascl (l)  Linux Manuals
dlascl: multiplies the M by N real matrix A by the real scalar CTO/CFROM
Command to display dlascl
manual in Linux: $ man l dlascl
NAME
DLASCL  multiplies the M by N real matrix A by the real scalar CTO/CFROM
SYNOPSIS
 SUBROUTINE DLASCL(

TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO )

CHARACTER
TYPE

INTEGER
INFO, KL, KU, LDA, M, N

DOUBLE
PRECISION CFROM, CTO

DOUBLE
PRECISION A( LDA, * )
PURPOSE
DLASCL multiplies the M by N real matrix A by the real scalar
CTO/CFROM. This is done without over/underflow as long as the final
result CTO*A(I,J)/CFROM does not over/underflow. TYPE specifies that
A may be full, upper triangular, lower triangular, upper Hessenberg,
or banded.
ARGUMENTS
 TYPE (input) CHARACTER*1

TYPE indices the storage type of the input matrix.
= aqGaq: A is a full matrix.
= aqLaq: A is a lower triangular matrix.
= aqUaq: A is an upper triangular matrix.
= aqHaq: A is an upper Hessenberg matrix.
= aqBaq: A is a symmetric band matrix with lower bandwidth KL
and upper bandwidth KU and with the only the lower
half stored.
= aqQaq: A is a symmetric band matrix with lower bandwidth KL
and upper bandwidth KU and with the only the upper
half stored.
= aqZaq: A is a band matrix with lower bandwidth KL and upper
bandwidth KU.
 KL (input) INTEGER

The lower bandwidth of A. Referenced only if TYPE = aqBaq,
aqQaq or aqZaq.
 KU (input) INTEGER

The upper bandwidth of A. Referenced only if TYPE = aqBaq,
aqQaq or aqZaq.
 CFROM (input) DOUBLE PRECISION

CTO (input) DOUBLE PRECISION
The matrix A is multiplied by CTO/CFROM. A(I,J) is computed
without over/underflow if the final result CTO*A(I,J)/CFROM
can be represented without over/underflow. CFROM must be
nonzero.
 M (input) INTEGER

The number of rows of the matrix A. M >= 0.
 N (input) INTEGER

The number of columns of the matrix A. N >= 0.
 A (input/output) DOUBLE PRECISION array, dimension (LDA,N)

The matrix to be multiplied by CTO/CFROM. See TYPE for the
storage type.
 LDA (input) INTEGER

The leading dimension of the array A. LDA >= max(1,M).
 INFO (output) INTEGER

0  successful exit
<0  if INFO = i, the ith argument had an illegal value.
Pages related to dlascl
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 dlascl2 (l)  performs a diagonal scaling on a vector
 dlas2 (l)  computes the singular values of the 2by2 matrix [ F G ] [ 0 H ]
 dlasd0 (l)  a divide and conquer approach, DLASD0 computes the singular value decomposition (SVD) of a real upper bidiagonal NbyM matrix B with diagonal D and offdiagonal E, where M = N + SQRE
 dlasd1 (l)  computes the SVD of an upper bidiagonal NbyM 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 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
 dlasd5 (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
 dlasd6 (l)  computes the SVD of an updated upper bidiagonal matrix B obtained by merging two smaller ones by appending a row