org.netlib.lapack
Class DLARRJ

java.lang.Object
  extended by org.netlib.lapack.DLARRJ

public class DLARRJ
extends java.lang.Object

DLARRJ is a simplified interface to the JLAPACK routine dlarrj.
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 * ======= * * Given the initial eigenvalue approximations of T, DLARRJ * does bisection to refine the eigenvalues of T, * W( IFIRST-OFFSET ) through W( ILAST-OFFSET ), to more accuracy. Initi * guesses for these eigenvalues are input in W, the corresponding estim * of the error in these guesses in WERR. During bisection, intervals * [left, right] are maintained by storing their mid-points and * semi-widths in the arrays W and WERR respectively. * * Arguments * ========= * * N (input) INTEGER * The order of the matrix. * * D (input) DOUBLE PRECISION array, dimension (N) * The N diagonal elements of T. * * E2 (input) DOUBLE PRECISION array, dimension (N-1) * The Squares of the (N-1) subdiagonal elements of T. * * IFIRST (input) INTEGER * The index of the first eigenvalue to be computed. * * ILAST (input) INTEGER * The index of the last eigenvalue to be computed. * * RTOL (input) DOUBLE PRECISION * Tolerance for the convergence of the bisection intervals. * An interval [LEFT,RIGHT] has converged if * RIGHT-LEFT.LT.RTOL*MAX(|LEFT|,|RIGHT|). * * OFFSET (input) INTEGER * Offset for the arrays W and WERR, i.e., the IFIRST-OFFSET * through ILAST-OFFSET elements of these arrays are to be used. * * W (input/output) DOUBLE PRECISION array, dimension (N) * On input, W( IFIRST-OFFSET ) through W( ILAST-OFFSET ) are * estimates of the eigenvalues of L D L^T indexed IFIRST throug * ILAST. * On output, these estimates are refined. * * WERR (input/output) DOUBLE PRECISION array, dimension (N) * On input, WERR( IFIRST-OFFSET ) through WERR( ILAST-OFFSET ) * the errors in the estimates of the corresponding elements in * On output, these errors are refined. * * WORK (workspace) DOUBLE PRECISION array, dimension (2*N) * Workspace. * * IWORK (workspace) INTEGER array, dimension (2*N) * Workspace. * * PIVMIN (input) DOUBLE PRECISION * The minimum pivot in the Sturm sequence for T. * * SPDIAM (input) DOUBLE PRECISION * The spectral diameter of T. * * INFO (output) INTEGER * Error flag. * * Further Details * =============== * * Based on contributions by * Beresford Parlett, University of California, Berkeley, USA * Jim Demmel, University of California, Berkeley, USA * Inderjit Dhillon, University of Texas, Austin, USA * Osni Marques, LBNL/NERSC, USA * Christof Voemel, University of California, Berkeley, USA * * ===================================================================== * * .. Parameters ..


Constructor Summary
DLARRJ()
           
 
Method Summary
static void DLARRJ(int n, double[] d, double[] e2, int ifirst, int ilast, double rtol, int offset, double[] w, double[] werr, double[] work, int[] iwork, double pivmin, double spdiam, intW info)
           
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

DLARRJ

public DLARRJ()
Method Detail

DLARRJ

public static void DLARRJ(int n,
                          double[] d,
                          double[] e2,
                          int ifirst,
                          int ilast,
                          double rtol,
                          int offset,
                          double[] w,
                          double[] werr,
                          double[] work,
                          int[] iwork,
                          double pivmin,
                          double spdiam,
                          intW info)