dlarre (l)  Linux Man Pages
dlarre: find the desired eigenvalues of a given real symmetric tridiagonal matrix T, DLARRE sets any "small" offdiagonal elements to zero, and for each unreduced block T_i, it finds (a) a suitable shift at one end of the blockaqs spectrum,
NAME
DLARRE  find the desired eigenvalues of a given real symmetric tridiagonal matrix T, DLARRE sets any "small" offdiagonal elements to zero, and for each unreduced block T_i, it finds (a) a suitable shift at one end of the blockaqs spectrum,SYNOPSIS
 SUBROUTINE DLARRE(
 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 )
 IMPLICIT NONE
 CHARACTER RANGE
 INTEGER IL, INFO, IU, M, N, NSPLIT
 DOUBLE PRECISION PIVMIN, RTOL1, RTOL2, SPLTOL, VL, VU
 INTEGER IBLOCK( * ), ISPLIT( * ), IWORK( * ), INDEXW( * )
 DOUBLE PRECISION D( * ), E( * ), E2( * ), GERS( * ), W( * ),WERR( * ), WGAP( * ), WORK( * )
PURPOSE
To find the desired eigenvalues of a given real symmetric tridiagonal matrix T, DLARRE sets any "small" offdiagonal elements to zero, and for each unreduced block T_i, it finds (a) a suitable shift at one end of the blockaqs 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 DSTEMR 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 DLASQ2) to conpute all and then discard any unwanted one.
As an added benefit, DLARRE also outputs the n
Gerschgorin intervals for the matrices L_i D_i L_i^T.
ARGUMENTS
 RANGE (input) CHARACTER

= aqAaq: ("All") all eigenvalues will be found.
= aqVaq: ("Value") all eigenvalues in the halfopen interval (VL, VU] will be found. = aqIaq: ("Index") the ILth through IUth eigenvalues (of the entire matrix) will be found.  N (input) INTEGER
 The order of the matrix. N > 0.
 VL (input/output) DOUBLE PRECISION
 VU (input/output) DOUBLE PRECISION If RANGE=aqVaq, 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=aqIaq or =aqAaq, DLARRE computes bounds on the desired part of the spectrum.
 IL (input) INTEGER
 IU (input) INTEGER If RANGE=aqIaq, the indices (in ascending order) of the smallest and largest eigenvalues to be returned. 1 <= IL <= IU <= N.
 D (input/output) DOUBLE PRECISION 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 (input/output) DOUBLE PRECISION array, dimension (N)
 On entry, the first (N1) 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 (input/output) DOUBLE PRECISION array, dimension (N)
 On entry, the first (N1) 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 (input) DOUBLE PRECISION
 RTOL2 (input) DOUBLE PRECISION Parameters for bisection. RIGHTLEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(LEFT,RIGHT) ) SPLTOL (input) DOUBLE PRECISION The threshold for splitting.
 NSPLIT (output) INTEGER
 The number of blocks T splits into. 1 <= NSPLIT <= N.
 ISPLIT (output) 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 NSPLITth consists of rows/columns ISPLIT(NSPLIT1)+1 through ISPLIT(NSPLIT)=N.
 M (output) INTEGER
 The total number of eigenvalues (of all L_i D_i L_i^T) found.
 W (output) DOUBLE PRECISION 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 ( DLARRE may use the remaining NM elements as workspace).
 WERR (output) DOUBLE PRECISION array, dimension (N)
 The error bound on the corresponding eigenvalue in W.
 WGAP (output) DOUBLE PRECISION 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 (output) 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 (output) 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 ith eigenvalue W(i) is the 10th eigenvalue in block 2
 GERS (output) DOUBLE PRECISION array, dimension (2*N)
 The N Gerschgorin intervals (the ith Gerschgorin interval is (GERS(2*i1), GERS(2*i)).
 PIVMIN (output) DOUBLE PRECISION
 The minimum pivot in the Sturm sequence for T.
 WORK (workspace) DOUBLE PRECISION array, dimension (6*N)
 Workspace.
 IWORK (workspace) INTEGER array, dimension (5*N)
 Workspace.
 INFO (output) INTEGER

= 0: successful exit
> 0: A problem occured in DLARRE.
< 0: One of the called subroutines signaled an internal problem. Needs inspection of the corresponding parameter IINFO for further information.  =1: Problem in DLARRD.

= 2: No base representation could be found in MAXTRY iterations.
Increasing MAXTRY and recompilation might be a remedy.
=3: Problem in DLARRB when computing the refined root
representation for DLASQ2.
=4: Problem in DLARRB when preforming bisection on the
desired part of the spectrum.
=5: Problem in DLASQ2.
=6: Problem in DLASQ2. Further Details element growth and consequently define all their eigenvalues to high relative accuracy. =============== 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