slarre.f man page

slarre.f —

Synopsis

Functions/Subroutines

subroutine slarre (RANGE, N, VL, VU, IL, IU, D, E, E2, RTOL1, RTOL2, SPLTOL, NSPLIT, ISPLIT, M, W, WERR, WGAP, IBLOCK, INDEXW, GERS, PIVMIN, WORK, IWORK, INFO)
SLARRE given the tridiagonal matrix T, sets small off-diagonal elements to zero and for each unreduced block Ti, finds base representations and eigenvalues.

Function/Subroutine Documentation

subroutine slarre (characterRANGE, integerN, realVL, realVU, integerIL, integerIU, real, dimension( * )D, real, dimension( * )E, real, dimension( * )E2, realRTOL1, realRTOL2, realSPLTOL, integerNSPLIT, integer, dimension( * )ISPLIT, integerM, real, dimension( * )W, real, dimension( * )WERR, real, dimension( * )WGAP, integer, dimension( * )IBLOCK, integer, dimension( * )INDEXW, real, dimension( * )GERS, realPIVMIN, real, dimension( * )WORK, integer, dimension( * )IWORK, integerINFO)

SLARRE given the tridiagonal matrix T, sets small off-diagonal elements to zero and for each unreduced block Ti, finds base representations and eigenvalues.

Purpose:

To find the desired eigenvalues of a given real symmetric
tridiagonal matrix T, SLARRE sets any "small" off-diagonal
elements to zero, and for each unreduced block T_i, it finds
(a) a suitable shift at one end of the block's spectrum,
(b) the base representation, T_i - sigma_i I = L_i D_i L_i^T, and
(c) eigenvalues of each L_i D_i L_i^T.
The representations and eigenvalues found are then used by
SSTEMR to compute the eigenvectors of T.
The accuracy varies depending on whether bisection is used to
find a few eigenvalues or the dqds algorithm (subroutine SLASQ2) to
conpute all and then discard any unwanted one.
As an added benefit, SLARRE also outputs the n
Gerschgorin intervals for the matrices L_i D_i L_i^T.

Parameters:

RANGE

RANGE is CHARACTER*1
= 'A': ("All")   all eigenvalues will be found.
= 'V': ("Value") all eigenvalues in the half-open interval
                 (VL, VU] will be found.
= 'I': ("Index") the IL-th through IU-th eigenvalues (of the
                 entire matrix) will be found.

N

N is INTEGER
The order of the matrix. N > 0.

VL

VL is REAL

VU

VU is REAL
If RANGE='V', the lower and upper bounds for the eigenvalues.
Eigenvalues less than or equal to VL, or greater than VU,
will not be returned.  VL < VU.
If RANGE='I' or ='A', SLARRE computes bounds on the desired
part of the spectrum.

IL

IL is INTEGER

IU

IU is INTEGER
If RANGE='I', the indices (in ascending order) of the
smallest and largest eigenvalues to be returned.
1 <= IL <= IU <= N.

D

D is REAL array, dimension (N)
On entry, the N diagonal elements of the tridiagonal
matrix T.
On exit, the N diagonal elements of the diagonal
matrices D_i.

E

E is REAL array, dimension (N)
On entry, the first (N-1) entries contain the subdiagonal
elements of the tridiagonal matrix T; E(N) need not be set.
On exit, E contains the subdiagonal elements of the unit
bidiagonal matrices L_i. The entries E( ISPLIT( I ) ),
1 <= I <= NSPLIT, contain the base points sigma_i on output.

E2

E2 is REAL array, dimension (N)
On entry, the first (N-1) entries contain the SQUARES of the
subdiagonal elements of the tridiagonal matrix T;
E2(N) need not be set.
On exit, the entries E2( ISPLIT( I ) ),
1 <= I <= NSPLIT, have been set to zero

RTOL1

RTOL1 is REAL

RTOL2

RTOL2 is REAL
 Parameters for bisection.
 An interval [LEFT,RIGHT] has converged if
 RIGHT-LEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(|LEFT|,|RIGHT|) )

SPLTOL

SPLTOL is REAL
The threshold for splitting.

NSPLIT

NSPLIT is INTEGER
The number of blocks T splits into. 1 <= NSPLIT <= N.

ISPLIT

ISPLIT is INTEGER array, dimension (N)
The splitting points, at which T breaks up into blocks.
The first block consists of rows/columns 1 to ISPLIT(1),
the second of rows/columns ISPLIT(1)+1 through ISPLIT(2),
etc., and the NSPLIT-th consists of rows/columns
ISPLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N.

M

M is INTEGER
The total number of eigenvalues (of all L_i D_i L_i^T)
found.

W

W is REAL array, dimension (N)
The first M elements contain the eigenvalues. The
eigenvalues of each of the blocks, L_i D_i L_i^T, are
sorted in ascending order ( SLARRE may use the
remaining N-M elements as workspace).

WERR

WERR is REAL array, dimension (N)
The error bound on the corresponding eigenvalue in W.

WGAP

WGAP is REAL array, dimension (N)
The separation from the right neighbor eigenvalue in W.
The gap is only with respect to the eigenvalues of the same block
as each block has its own representation tree.
Exception: at the right end of a block we store the left gap

IBLOCK

IBLOCK is INTEGER array, dimension (N)
The indices of the blocks (submatrices) associated with the
corresponding eigenvalues in W; IBLOCK(i)=1 if eigenvalue
W(i) belongs to the first block from the top, =2 if W(i)
belongs to the second block, etc.

INDEXW

INDEXW is INTEGER array, dimension (N)
The indices of the eigenvalues within each block (submatrix);
for example, INDEXW(i)= 10 and IBLOCK(i)=2 imply that the
i-th eigenvalue W(i) is the 10-th eigenvalue in block 2

GERS

GERS is REAL array, dimension (2*N)
The N Gerschgorin intervals (the i-th Gerschgorin interval
is (GERS(2*i-1), GERS(2*i)).

PIVMIN

PIVMIN is REAL
The minimum pivot in the Sturm sequence for T.

WORK

WORK is REAL array, dimension (6*N)
Workspace.

IWORK

IWORK is INTEGER array, dimension (5*N)
Workspace.

INFO

INFO is INTEGER
= 0:  successful exit
> 0:  A problem occured in SLARRE.
< 0:  One of the called subroutines signaled an internal problem.
      Needs inspection of the corresponding parameter IINFO
      for further information.

=-1:  Problem in SLARRD.
= 2:  No base representation could be found in MAXTRY iterations.
      Increasing MAXTRY and recompilation might be a remedy.
=-3:  Problem in SLARRB when computing the refined root
      representation for SLASQ2.
=-4:  Problem in SLARRB when preforming bisection on the
      desired part of the spectrum.
=-5:  Problem in SLASQ2.
=-6:  Problem in SLASQ2.

Author:

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Date:

September 2012

Further Details:

The base representations are required to suffer very little
element growth and consequently define all their eigenvalues to
high relative accuracy.

Contributors:

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

Definition at line 295 of file slarre.f.

Author

Generated automatically by Doxygen for LAPACK from the source code.

Referenced By

slarre(3) is an alias of slarre.f(3).

Sat Nov 16 2013 Version 3.4.2 LAPACK