CLARRV(1) LAPACK auxiliary routine (version 3.2) CLARRV(1)[top]NAMECLARRV - computes the eigenvectors of the tridiagonal matrix T = L D L^T given L, D and APPROXIMATIONS to the eigenvalues of L D L^TSYNOPSISSUBROUTINE CLARRV( N, VL, VU, D, L, PIVMIN, ISPLIT, M, DOL, DOU, MIN‐ RGP, RTOL1, RTOL2, W, WERR, WGAP, IBLOCK, INDEXW, GERS, Z, LDZ, ISUPPZ, WORK, IWORK, INFO ) INTEGER DOL, DOU, INFO, LDZ, M, N REAL MINRGP, PIVMIN, RTOL1, RTOL2, VL, VU INTEGER IBLOCK( * ), INDEXW( * ), ISPLIT( * ), ISUPPZ( * ), IWORK( * ) REAL D( * ), GERS( * ), L( * ), W( * ), WERR( * ), WGAP( * ), WORK( * ) COMPLEX Z( LDZ, * )PURPOSECLARRV computes the eigenvectors of the tridiagonal matrix T = L D L^T given L, D and APPROXIMATIONS to the eigenvalues of L D L^T. The input eigenvalues should have been computed by SLARRE.ARGUMENTSN (input) INTEGER The order of the matrix. N >= 0. VL (input) REAL VU (input) REAL Lower and upper bounds of the interval that contains the desired eigenvalues. VL < VU. Needed to com‐ pute gaps on the left or right end of the extremal eigenvalues in the desired RANGE. D (input/output) REAL array, dimension (N) On entry, the N diagonal elements of the diagonal matrix D. On exit, D may be overwritten. L (input/output) REAL array, dimension (N) On entry, the (N-1) subdiagonal elements of the unit bidiagonal matrix L are in elements 1 to N-1 of L (if the matrix is not splitted.) At the end of each block is stored the corresponding shift as given by SLARRE. On exit, L is overwritten. PIVMIN (in) DOUBLE PRECISION The minimum pivot allowed in the Sturm sequence. ISPLIT (input) 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 sec‐ ond of rows/columns ISPLIT( 1 )+1 through ISPLIT( 2 ), etc. M (input) INTEGER The total number of input eigenvalues. 0 <= M <= N. DOL (input) INTEGER DOU (input) INTEGER If the user wants to compute only selected eigenvectors from all the eigenvalues supplied, he can specify an index range DOL:DOU. Or else the setting DOL=1, DOU=M should be applied. Note that DOL and DOU refer to the order in which the eigenvalues are stored in W. If the user wants to compute only selected eigenpairs, then the columns DOL-1 to DOU+1 of the eigenvector space Z contain the computed eigenvectors. All other columns of Z are set to zero. MINRGP (input) REAL RTOL1 (input) REAL RTOL2 (input) REAL Parameters for bisection. RIGHT- LEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(|LEFT|,|RIGHT|) ) W (input/output) REAL array, dimension (N) The first M elements of W contain the APPROXIMATE eigenvalues for which eigenvectors are to be computed. The eigenvalues should be grouped by split-off block and ordered from smallest to largest within the block ( The output array W from SLARRE is expected here ). Furthermore, they are with respect to the shift of the corresponding root representation for their block. On exit, W holds the eigenvalues of the UNshifted matrix. WERR (input/output) REAL array, dimension (N) The first M elements contain the semiwidth of the uncertainty interval of the corresponding eigenvalue in W WGAP (input/output) REAL array, dimension (N) The separation from the right neighbor eigenvalue in W. IBLOCK (input) 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 (input) 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 the second block. GERS (input) REAL array, dimension (2*N) The N Gerschgorin intervals (the i-th Gerschgorin interval is (GERS(2*i-1), GERS(2*i)). The Gerschgorin intervals should be computed from the original UNshifted matrix. Z (output) COMPLEX array, dimension (LDZ, max(1,M) ) If INFO = 0, the first M columns of Z contain the orthonormal eigenvectors of the matrix T corresponding to the input eigen‐ values, with the i-th column of Z holding the eigenvector asso‐ ciated with W(i). Note: the user must ensure that at least max(1,M) columns are supplied in the array Z. LDZ (input) INTEGER The leading dimension of the array Z. LDZ >= 1, and if JOBZ = 'V', LDZ >= max(1,N). ISUPPZ (output) INTEGER array, dimension ( 2*max(1,M) ) The support of the eigenvectors in Z, i.e., the indices indi‐ cating the nonzero elements in Z. The I-th eigenvector is nonzero only in elements ISUPPZ( 2*I-1 ) through ISUPPZ( 2*I ). WORK (workspace) REAL array, dimension (12*N) IWORK (workspace) INTEGER array, dimension (7*N) INFO (output) INTEGER = 0: successful exit > 0: A problem occured in CLARRV. < 0: One of the called subroutines signaled an internal prob‐ lem. Needs inspection of the corresponding parameter IINFO for further information. =-1: Problem in SLARRB when refining a child's eigenvalues. =-2: Problem in SLARRF when computing the RRR of a child. When a child is inside a tight cluster, it can be difficult to find an RRR. A partial remedy from the user's point of view is to make the parameter MINRGP smaller and recompile. However, as the orthogonality of the computed vectors is proportional to 1/MIN‐ RGP, the user should be aware that he might be trading in preci‐ sion when he decreases MINRGP. =-3: Problem in SLARRB when refining a single eigenvalue after the Rayleigh correction was rejected. = 5: The Rayleigh Quotient Iteration failed to con‐ verge to full accuracy in MAXITR steps.FURTHER DETAILSBased 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 LAPACK auxiliary routine (versioNovember 2008 CLARRV(1)

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