dlapmt (l)  Linux Manuals
dlapmt: rearranges the columns of the M by N matrix X as specified by the permutation K(1),K(2),...,K(N) of the integers 1,...,N
Command to display dlapmt
manual in Linux: $ man l dlapmt
NAME
DLAPMT  rearranges the columns of the M by N matrix X as specified by the permutation
K(1),
K(2),...,K(N) of the integers 1,...,N
SYNOPSIS
 SUBROUTINE DLAPMT(

FORWRD, M, N, X, LDX, K )

LOGICAL
FORWRD

INTEGER
LDX, M, N

INTEGER
K( * )

DOUBLE
PRECISION X( LDX, * )
PURPOSE
DLAPMT rearranges the columns of the M by N matrix X as specified
by the permutation
K(1),
K(2),...,K(N) of the integers 1,...,N.
If FORWRD = .TRUE., forward permutation:
X(*,K(J)) is moved X(*,J) for J = 1,2,...,N.
If FORWRD = .FALSE., backward permutation:
X(*,J) is moved to X(*,K(J)) for J = 1,2,...,N.
ARGUMENTS
 FORWRD (input) LOGICAL

= .TRUE., forward permutation
= .FALSE., backward permutation
 M (input) INTEGER

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

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

On entry, the M by N matrix X.
On exit, X contains the permuted matrix X.
 LDX (input) INTEGER

The leading dimension of the array X, LDX >= MAX(1,M).
 K (input/output) INTEGER array, dimension (N)

On entry, K contains the permutation vector. K is used as
internal workspace, but reset to its original value on
output.
Pages related to dlapmt
 dlapmt (3)
 dlapll (l)  two column vectors X and Y, let A = ( X Y )
 dla_gbamv (l)  performs one of the matrixvector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
 dla_gbrcond (l)  DLA_GERCOND Estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = 1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( inv(A)A ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinitynorm condition number
 dla_gbrfsx_extended (l)  computes ..
 dla_geamv (l)  performs one of the matrixvector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
 dla_gercond (l)  DLA_GERCOND estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = 1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( inv(A)A ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinitynorm condition number
 dla_gerfsx_extended (l)  computes ..