slapmt (l) - Linux Manuals
slapmt: 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 slapmt
manual in Linux: $ man l slapmt
NAME
SLAPMT - 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 SLAPMT(
-
FORWRD, M, N, X, LDX, K )
-
LOGICAL
FORWRD
-
INTEGER
LDX, M, N
-
INTEGER
K( * )
-
REAL
X( LDX, * )
PURPOSE
SLAPMT 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) REAL 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 slapmt
- slapmt (3)
- slapll (l) - two column vectors X and Y, let A = ( X Y )
- sla_gbamv (l) - performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
- sla_gbrcond (l) - SLA_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 infinity-norm condition number
- sla_gbrfsx_extended (l) - computes ..
- sla_geamv (l) - performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
- sla_gercond (l) - SLA_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 infinity-norm condition number
- sla_gerfsx_extended (l) - computes ..