extended by 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 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) INTEGER array, dimension (N) * On entry, K contains the permutation vector. * * ===================================================================== * * .. Local Scalars ..

Constructor Summary
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

Constructor Detail


public SLAPMT()
Method Detail


public static void SLAPMT(boolean forwrd,
                          int m,
                          int n,
                          float[][] x,
                          int[] k)