SLARRB2(3) ScaLAPACK routine of NEC Numeric Library Collection SLARRB2(3) NAME SLARRB2 - does "limited" bisection to refine the eigenvalues of L D L^T, W( IFIRST-OFFSET ) through W( ILAST-OFFSET ), to more accuracy SYNOPSIS SUBROUTINE SLARRB2( N, D, LLD, IFIRST, ILAST, RTOL1, RTOL2, OFFSET, W, WGAP, WERR, WORK, IWORK, PIVMIN, LGPVMN, LGSPDM, TWIST, INFO ) INTEGER IFIRST, ILAST, INFO, N, OFFSET, TWIST REAL LGPVMN, LGSPDM, PIVMIN, RTOL1, RTOL2 INTEGER IWORK( * ) REAL D( * ), LLD( * ), W( * ), WERR( * ), WGAP( * ), WORK( * ) PURPOSE Given the relatively robust representation(RRR) L D L^T, SLARRB2 does "limited" bisection to refine the eigenvalues of L D L^T, W( IFIRST- OFFSET ) through W( ILAST-OFFSET ), to more accuracy. Initial guesses for these eigenvalues are input in W, the corresponding estimate of the error in these guesses and their gaps are input in WERR and WGAP, respectively. During bisection, intervals [left, right] are maintained by storing their mid-points and semi-widths in the arrays W and WERR respectively. NOTE: There are very few minor differences between SLARRB from LAPACK and this current subroutine SLARRB2. The most important reason for creating this nearly identical copy is profiling: in the ScaLAPACK MRRR algorithm, eigenvalue computation using SLARRB2 is used for refinement in the construction of the repre- sentation tree, as opposed to the initial computation of the eigenval- ues for the root RRR which uses SLARRB. When profiling, this allows an easy quantification of refinement work vs. computing eigenvalues of the root. ARGUMENTS N (input) INTEGER The order of the matrix. D (input) REAL array, dimension (N) The N diagonal elements of the diagonal matrix D. LLD (input) REAL array, dimension (N-1) The (N-1) elements L(i)*L(i)*D(i). IFIRST (input) INTEGER The index of the first eigenvalue to be computed. ILAST (input) INTEGER The index of the last eigenvalue to be computed. RTOL1 (input) REAL RTOL2 (input) REAL Tolerance for the convergence of the bisection intervals. An interval [LEFT,RIGHT] has converged if RIGHT-LEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(|LEFT|,|RIGHT|) ) where GAP is the (esti- mated) distance to the nearest eigenvalue. OFFSET (input) INTEGER Offset for the arrays W, WGAP and WERR, i.e., the IFIRST-OFFSET through ILAST-OFFSET elements of these arrays are to be used. W (input/output) REAL array, dimension (N) On input, W( IFIRST-OFFSET ) through W( ILAST-OFFSET ) are estimates of the eigenvalues of L D L^T indexed IFIRST through ILAST. On output, these estimates are refined. WGAP (input/output) REAL array, dimension (N-1) On input, the (estimated) gaps between consecutive eigenvalues of L D L^T, i.e., WGAP(I-OFFSET) is the gap between eigenvalues I and I+1. Note that if IFIRST.EQ.ILAST then WGAP(IFIRST-OFF- SET) must be set to ZERO. On output, these gaps are refined. WERR (input/output) REAL array, dimension (N) On input, WERR( IFIRST-OFFSET ) through WERR( ILAST-OFFSET ) are the errors in the estimates of the corresponding elements in W. On output, these errors are refined. WORK (workspace) REAL array, dimension (4*N) Workspace. IWORK (workspace) INTEGER array, dimension (2*N) Workspace. PIVMIN (input) REAL The minimum pivot in the sturm sequence. LGPVMN (input) REAL Logarithm of PIVMIN, precomputed. LGSPDM (input) REAL Logarithm of the spectral diameter, precomputed. TWIST (input) INTEGER The twist index for the twisted factorization that is used for the negcount. TWIST = N: Compute negcount from L D L^T - LAMBDA I = L+ D+ L+^T TWIST = 1: Compute negcount from L D L^T - LAMBDA I = U- D- U-^T TWIST = R: Compute negcount from L D L^T - LAMBDA I = N(r) D(r) N(r) INFO (output) INTEGER Error flag. ScaLAPACK routine 31 October 2017 SLARRB2(3)