org.netlib.lapack
Class SLARRR
java.lang.Object
org.netlib.lapack.SLARRR
public class SLARRR
- extends java.lang.Object
SLARRR is a simplified interface to the JLAPACK routine slarrr.
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
* =======
*
* Perform tests to decide whether the symmetric tridiagonal matrix T
* warrants expensive computations which guarantee high relative accurac
* in the eigenvalues.
*
* Arguments
* =========
*
* N (input) INTEGER
* The order of the matrix. N > 0.
*
* D (input) REAL array, dimension (N)
* The N diagonal elements of the tridiagonal matrix T.
*
* E (input/output) REAL array, dimension (N)
* On entry, the first (N-1) entries contain the subdiagonal
* elements of the tridiagonal matrix T; E(N) is set to ZERO.
*
* INFO (output) INTEGER
* INFO = 0(default) : the matrix warrants computations preservi
* relative accuracy.
* INFO = 1 : the matrix warrants computations guarante
* only absolute accuracy.
*
* 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 ..
Method Summary |
static void |
SLARRR(int n,
float[] d,
float[] e,
intW info)
|
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
SLARRR
public SLARRR()
SLARRR
public static void SLARRR(int n,
float[] d,
float[] e,
intW info)