SUBROUTINE DLASD7( ICOMPQ, NL, NR, SQRE, K, D, Z, ZW, VF, VFW, VL, \$ VLW, ALPHA, BETA, DSIGMA, IDX, IDXP, IDXQ, \$ PERM, GIVPTR, GIVCOL, LDGCOL, GIVNUM, LDGNUM, \$ C, S, INFO ) * * -- LAPACK auxiliary routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. INTEGER GIVPTR, ICOMPQ, INFO, K, LDGCOL, LDGNUM, NL, \$ NR, SQRE DOUBLE PRECISION ALPHA, BETA, C, S * .. * .. Array Arguments .. INTEGER GIVCOL( LDGCOL, * ), IDX( * ), IDXP( * ), \$ IDXQ( * ), PERM( * ) DOUBLE PRECISION D( * ), DSIGMA( * ), GIVNUM( LDGNUM, * ), \$ VF( * ), VFW( * ), VL( * ), VLW( * ), Z( * ), \$ ZW( * ) * .. * * Purpose * ======= * * DLASD7 merges the two sets of singular values together into a single * sorted set. Then it tries to deflate the size of the problem. There * are two ways in which deflation can occur: when two or more singular * values are close together or if there is a tiny entry in the Z * vector. For each such occurrence the order of the related * secular equation problem is reduced by one. * * DLASD7 is called from DLASD6. * * Arguments * ========= * * ICOMPQ (input) INTEGER * Specifies whether singular vectors are to be computed * in compact form, as follows: * = 0: Compute singular values only. * = 1: Compute singular vectors of upper * bidiagonal matrix in compact form. * * NL (input) INTEGER * The row dimension of the upper block. NL >= 1. * * NR (input) INTEGER * The row dimension of the lower block. NR >= 1. * * SQRE (input) INTEGER * = 0: the lower block is an NR-by-NR square matrix. * = 1: the lower block is an NR-by-(NR+1) rectangular matrix. * * The bidiagonal matrix has * N = NL + NR + 1 rows and * M = N + SQRE >= N columns. * * K (output) INTEGER * Contains the dimension of the non-deflated matrix, this is * the order of the related secular equation. 1 <= K <=N. * * D (input/output) DOUBLE PRECISION array, dimension ( N ) * On entry D contains the singular values of the two submatrices * to be combined. On exit D contains the trailing (N-K) updated * singular values (those which were deflated) sorted into * increasing order. * * Z (output) DOUBLE PRECISION array, dimension ( M ) * On exit Z contains the updating row vector in the secular * equation. * * ZW (workspace) DOUBLE PRECISION array, dimension ( M ) * Workspace for Z. * * VF (input/output) DOUBLE PRECISION array, dimension ( M ) * On entry, VF(1:NL+1) contains the first components of all * right singular vectors of the upper block; and VF(NL+2:M) * contains the first components of all right singular vectors * of the lower block. On exit, VF contains the first components * of all right singular vectors of the bidiagonal matrix. * * VFW (workspace) DOUBLE PRECISION array, dimension ( M ) * Workspace for VF. * * VL (input/output) DOUBLE PRECISION array, dimension ( M ) * On entry, VL(1:NL+1) contains the last components of all * right singular vectors of the upper block; and VL(NL+2:M) * contains the last components of all right singular vectors * of the lower block. On exit, VL contains the last components * of all right singular vectors of the bidiagonal matrix. * * VLW (workspace) DOUBLE PRECISION array, dimension ( M ) * Workspace for VL. * * ALPHA (input) DOUBLE PRECISION * Contains the diagonal element associated with the added row. * * BETA (input) DOUBLE PRECISION * Contains the off-diagonal element associated with the added * row. * * DSIGMA (output) DOUBLE PRECISION array, dimension ( N ) * Contains a copy of the diagonal elements (K-1 singular values * and one zero) in the secular equation. * * IDX (workspace) INTEGER array, dimension ( N ) * This will contain the permutation used to sort the contents of * D into ascending order. * * IDXP (workspace) INTEGER array, dimension ( N ) * This will contain the permutation used to place deflated * values of D at the end of the array. On output IDXP(2:K) * points to the nondeflated D-values and IDXP(K+1:N) * points to the deflated singular values. * * IDXQ (input) INTEGER array, dimension ( N ) * This contains the permutation which separately sorts the two * sub-problems in D into ascending order. Note that entries in * the first half of this permutation must first be moved one * position backward; and entries in the second half * must first have NL+1 added to their values. * * PERM (output) INTEGER array, dimension ( N ) * The permutations (from deflation and sorting) to be applied * to each singular block. Not referenced if ICOMPQ = 0. * * GIVPTR (output) INTEGER * The number of Givens rotations which took place in this * subproblem. Not referenced if ICOMPQ = 0. * * GIVCOL (output) INTEGER array, dimension ( LDGCOL, 2 ) * Each pair of numbers indicates a pair of columns to take place * in a Givens rotation. Not referenced if ICOMPQ = 0. * * LDGCOL (input) INTEGER * The leading dimension of GIVCOL, must be at least N. * * GIVNUM (output) DOUBLE PRECISION array, dimension ( LDGNUM, 2 ) * Each number indicates the C or S value to be used in the * corresponding Givens rotation. Not referenced if ICOMPQ = 0. * * LDGNUM (input) INTEGER * The leading dimension of GIVNUM, must be at least N. * * C (output) DOUBLE PRECISION * C contains garbage if SQRE =0 and the C-value of a Givens * rotation related to the right null space if SQRE = 1. * * S (output) DOUBLE PRECISION * S contains garbage if SQRE =0 and the S-value of a Givens * rotation related to the right null space if SQRE = 1. * * INFO (output) INTEGER * = 0: successful exit. * < 0: if INFO = -i, the i-th argument had an illegal value. * * Further Details * =============== * * Based on contributions by * Ming Gu and Huan Ren, Computer Science Division, University of * California at Berkeley, USA * * ===================================================================== * * .. Parameters .. DOUBLE PRECISION ZERO, ONE, TWO, EIGHT PARAMETER ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0, \$ EIGHT = 8.0D+0 ) * .. * .. Local Scalars .. * INTEGER I, IDXI, IDXJ, IDXJP, J, JP, JPREV, K2, M, N, \$ NLP1, NLP2 DOUBLE PRECISION EPS, HLFTOL, TAU, TOL, Z1 * .. * .. External Subroutines .. EXTERNAL DCOPY, DLAMRG, DROT, XERBLA * .. * .. External Functions .. DOUBLE PRECISION DLAMCH, DLAPY2 EXTERNAL DLAMCH, DLAPY2 * .. * .. Intrinsic Functions .. INTRINSIC ABS, MAX * .. * .. Executable Statements .. * * Test the input parameters. * INFO = 0 N = NL + NR + 1 M = N + SQRE * IF( ( ICOMPQ.LT.0 ) .OR. ( ICOMPQ.GT.1 ) ) THEN INFO = -1 ELSE IF( NL.LT.1 ) THEN INFO = -2 ELSE IF( NR.LT.1 ) THEN INFO = -3 ELSE IF( ( SQRE.LT.0 ) .OR. ( SQRE.GT.1 ) ) THEN INFO = -4 ELSE IF( LDGCOL.LT.N ) THEN INFO = -22 ELSE IF( LDGNUM.LT.N ) THEN INFO = -24 END IF IF( INFO.NE.0 ) THEN CALL XERBLA( 'DLASD7', -INFO ) RETURN END IF * NLP1 = NL + 1 NLP2 = NL + 2 IF( ICOMPQ.EQ.1 ) THEN GIVPTR = 0 END IF * * Generate the first part of the vector Z and move the singular * values in the first part of D one position backward. * Z1 = ALPHA*VL( NLP1 ) VL( NLP1 ) = ZERO TAU = VF( NLP1 ) DO 10 I = NL, 1, -1 Z( I+1 ) = ALPHA*VL( I ) VL( I ) = ZERO VF( I+1 ) = VF( I ) D( I+1 ) = D( I ) IDXQ( I+1 ) = IDXQ( I ) + 1 10 CONTINUE VF( 1 ) = TAU * * Generate the second part of the vector Z. * DO 20 I = NLP2, M Z( I ) = BETA*VF( I ) VF( I ) = ZERO 20 CONTINUE * * Sort the singular values into increasing order * DO 30 I = NLP2, N IDXQ( I ) = IDXQ( I ) + NLP1 30 CONTINUE * * DSIGMA, IDXC, IDXC, and ZW are used as storage space. * DO 40 I = 2, N DSIGMA( I ) = D( IDXQ( I ) ) ZW( I ) = Z( IDXQ( I ) ) VFW( I ) = VF( IDXQ( I ) ) VLW( I ) = VL( IDXQ( I ) ) 40 CONTINUE * CALL DLAMRG( NL, NR, DSIGMA( 2 ), 1, 1, IDX( 2 ) ) * DO 50 I = 2, N IDXI = 1 + IDX( I ) D( I ) = DSIGMA( IDXI ) Z( I ) = ZW( IDXI ) VF( I ) = VFW( IDXI ) VL( I ) = VLW( IDXI ) 50 CONTINUE * * Calculate the allowable deflation tolerence * EPS = DLAMCH( 'Epsilon' ) TOL = MAX( ABS( ALPHA ), ABS( BETA ) ) TOL = EIGHT*EIGHT*EPS*MAX( ABS( D( N ) ), TOL ) * * There are 2 kinds of deflation -- first a value in the z-vector * is small, second two (or more) singular values are very close * together (their difference is small). * * If the value in the z-vector is small, we simply permute the * array so that the corresponding singular value is moved to the * end. * * If two values in the D-vector are close, we perform a two-sided * rotation designed to make one of the corresponding z-vector * entries zero, and then permute the array so that the deflated * singular value is moved to the end. * * If there are multiple singular values then the problem deflates. * Here the number of equal singular values are found. As each equal * singular value is found, an elementary reflector is computed to * rotate the corresponding singular subspace so that the * corresponding components of Z are zero in this new basis. * K = 1 K2 = N + 1 DO 60 J = 2, N IF( ABS( Z( J ) ).LE.TOL ) THEN * * Deflate due to small z component. * K2 = K2 - 1 IDXP( K2 ) = J IF( J.EQ.N ) \$ GO TO 100 ELSE JPREV = J GO TO 70 END IF 60 CONTINUE 70 CONTINUE J = JPREV 80 CONTINUE J = J + 1 IF( J.GT.N ) \$ GO TO 90 IF( ABS( Z( J ) ).LE.TOL ) THEN * * Deflate due to small z component. * K2 = K2 - 1 IDXP( K2 ) = J ELSE * * Check if singular values are close enough to allow deflation. * IF( ABS( D( J )-D( JPREV ) ).LE.TOL ) THEN * * Deflation is possible. * S = Z( JPREV ) C = Z( J ) * * Find sqrt(a**2+b**2) without overflow or * destructive underflow. * TAU = DLAPY2( C, S ) Z( J ) = TAU Z( JPREV ) = ZERO C = C / TAU S = -S / TAU * * Record the appropriate Givens rotation * IF( ICOMPQ.EQ.1 ) THEN GIVPTR = GIVPTR + 1 IDXJP = IDXQ( IDX( JPREV )+1 ) IDXJ = IDXQ( IDX( J )+1 ) IF( IDXJP.LE.NLP1 ) THEN IDXJP = IDXJP - 1 END IF IF( IDXJ.LE.NLP1 ) THEN IDXJ = IDXJ - 1 END IF GIVCOL( GIVPTR, 2 ) = IDXJP GIVCOL( GIVPTR, 1 ) = IDXJ GIVNUM( GIVPTR, 2 ) = C GIVNUM( GIVPTR, 1 ) = S END IF CALL DROT( 1, VF( JPREV ), 1, VF( J ), 1, C, S ) CALL DROT( 1, VL( JPREV ), 1, VL( J ), 1, C, S ) K2 = K2 - 1 IDXP( K2 ) = JPREV JPREV = J ELSE K = K + 1 ZW( K ) = Z( JPREV ) DSIGMA( K ) = D( JPREV ) IDXP( K ) = JPREV JPREV = J END IF END IF GO TO 80 90 CONTINUE * * Record the last singular value. * K = K + 1 ZW( K ) = Z( JPREV ) DSIGMA( K ) = D( JPREV ) IDXP( K ) = JPREV * 100 CONTINUE * * Sort the singular values into DSIGMA. The singular values which * were not deflated go into the first K slots of DSIGMA, except * that DSIGMA(1) is treated separately. * DO 110 J = 2, N JP = IDXP( J ) DSIGMA( J ) = D( JP ) VFW( J ) = VF( JP ) VLW( J ) = VL( JP ) 110 CONTINUE IF( ICOMPQ.EQ.1 ) THEN DO 120 J = 2, N JP = IDXP( J ) PERM( J ) = IDXQ( IDX( JP )+1 ) IF( PERM( J ).LE.NLP1 ) THEN PERM( J ) = PERM( J ) - 1 END IF 120 CONTINUE END IF * * The deflated singular values go back into the last N - K slots of * D. * CALL DCOPY( N-K, DSIGMA( K+1 ), 1, D( K+1 ), 1 ) * * Determine DSIGMA(1), DSIGMA(2), Z(1), VF(1), VL(1), VF(M), and * VL(M). * DSIGMA( 1 ) = ZERO HLFTOL = TOL / TWO IF( ABS( DSIGMA( 2 ) ).LE.HLFTOL ) \$ DSIGMA( 2 ) = HLFTOL IF( M.GT.N ) THEN Z( 1 ) = DLAPY2( Z1, Z( M ) ) IF( Z( 1 ).LE.TOL ) THEN C = ONE S = ZERO Z( 1 ) = TOL ELSE C = Z1 / Z( 1 ) S = -Z( M ) / Z( 1 ) END IF CALL DROT( 1, VF( M ), 1, VF( 1 ), 1, C, S ) CALL DROT( 1, VL( M ), 1, VL( 1 ), 1, C, S ) ELSE IF( ABS( Z1 ).LE.TOL ) THEN Z( 1 ) = TOL ELSE Z( 1 ) = Z1 END IF END IF * * Restore Z, VF, and VL. * CALL DCOPY( K-1, ZW( 2 ), 1, Z( 2 ), 1 ) CALL DCOPY( N-1, VFW( 2 ), 1, VF( 2 ), 1 ) CALL DCOPY( N-1, VLW( 2 ), 1, VL( 2 ), 1 ) * RETURN * * End of DLASD7 * END