extended by org.netlib.lapack.DLACPY

public class DLACPY
extends java.lang.Object

DLACPY is a simplified interface to the JLAPACK routine dlacpy.
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 * ======= * * DLACPY copies all or part of a two-dimensional matrix A to another * matrix B. * * Arguments * ========= * * UPLO (input) CHARACTER*1 * Specifies the part of the matrix A to be copied to B. * = 'U': Upper triangular part * = 'L': Lower triangular part * Otherwise: All of the matrix A * * 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) DOUBLE PRECISION array, dimension (LDA,N) * The m by n matrix A. If UPLO = 'U', only the upper triangle * or trapezoid is accessed; if UPLO = 'L', only the lower * triangle or trapezoid is accessed. * * LDA (input) INTEGER * The leading dimension of the array A. LDA >= max(1,M). * * B (output) DOUBLE PRECISION array, dimension (LDB,N) * On exit, B = A in the locations specified by UPLO. * * LDB (input) INTEGER * The leading dimension of the array B. LDB >= max(1,M). * * ===================================================================== * * .. Local Scalars ..

Constructor Summary
Method Summary
static void DLACPY(java.lang.String uplo, int m, int n, double[][] a, double[][] b)
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail


public DLACPY()
Method Detail


public static void DLACPY(java.lang.String uplo,
                          int m,
                          int n,
                          double[][] a,
                          double[][] b)