org.netlib.lapack
Class SLAPMT
java.lang.Object
org.netlib.lapack.SLAPMT
public class SLAPMT
- extends java.lang.Object
SLAPMT is a simplified interface to the JLAPACK routine slapmt.
This interface converts Java-style 2D row-major arrays into
the 1D column-major linearized arrays expected by the lower
level JLAPACK routines. Using this interface also allows you
to omit offset and leading dimension arguments. However, because
of these conversions, these routines will be slower than the low
level ones. Following is the description from the original Fortran
source. Contact seymour@cs.utk.edu with any questions.
* ..
*
* 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.
*
* =====================================================================
*
* .. Local Scalars ..
Method Summary |
static void |
SLAPMT(boolean forwrd,
int m,
int n,
float[][] x,
int[] k)
|
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
SLAPMT
public SLAPMT()
SLAPMT
public static void SLAPMT(boolean forwrd,
int m,
int n,
float[][] x,
int[] k)