SLARRE(3)      LAPACK routine of NEC Numeric Library Collection      SLARRE(3)



NAME
       SLARRE

SYNOPSIS
       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)



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.




ARGUMENTS
           RANGE     (input)
                     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         (input)
                     N is INTEGER
                     The order of the matrix. N > 0.

           VL        (input/output)
                     VL is REAL

           VU        (input/output)
                     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        (input)
                     IL is INTEGER

           IU        (input)
                     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         (input/output)
                     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         (input/output)
                     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        (input/output)
                     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     (input)
                     RTOL1 is REAL

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

           SPLTOL    (input)
                     SPLTOL is REAL
                     The threshold for splitting.

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

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

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

           WGAP      (output)
                     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    (output)
                     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    (output)
                     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      (output)
                     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    (output)
                     PIVMIN is REAL
                     The minimum pivot in the Sturm sequence for T.

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

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

           INFO      (output)
                     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.






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



LAPACK routine                  31 October 2017                      SLARRE(3)