372 lines
12 KiB
FortranFixed
372 lines
12 KiB
FortranFixed
SUBROUTINE ZLAR1V( N, B1, BN, LAMBDA, D, L, LD, LLD,
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$ PIVMIN, GAPTOL, Z, WANTNC, NEGCNT, ZTZ, MINGMA,
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$ R, ISUPPZ, NRMINV, RESID, RQCORR, WORK )
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*
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* -- LAPACK auxiliary routine (version 3.1) --
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* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
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* November 2006
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*
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* .. Scalar Arguments ..
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LOGICAL WANTNC
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INTEGER B1, BN, N, NEGCNT, R
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DOUBLE PRECISION GAPTOL, LAMBDA, MINGMA, NRMINV, PIVMIN, RESID,
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$ RQCORR, ZTZ
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* ..
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* .. Array Arguments ..
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INTEGER ISUPPZ( * )
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DOUBLE PRECISION D( * ), L( * ), LD( * ), LLD( * ),
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$ WORK( * )
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COMPLEX*16 Z( * )
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* ..
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*
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* Purpose
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* =======
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*
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* ZLAR1V computes the (scaled) r-th column of the inverse of
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* the sumbmatrix in rows B1 through BN of the tridiagonal matrix
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* L D L^T - sigma I. When sigma is close to an eigenvalue, the
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* computed vector is an accurate eigenvector. Usually, r corresponds
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* to the index where the eigenvector is largest in magnitude.
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* The following steps accomplish this computation :
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* (a) Stationary qd transform, L D L^T - sigma I = L(+) D(+) L(+)^T,
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* (b) Progressive qd transform, L D L^T - sigma I = U(-) D(-) U(-)^T,
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* (c) Computation of the diagonal elements of the inverse of
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* L D L^T - sigma I by combining the above transforms, and choosing
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* r as the index where the diagonal of the inverse is (one of the)
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* largest in magnitude.
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* (d) Computation of the (scaled) r-th column of the inverse using the
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* twisted factorization obtained by combining the top part of the
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* the stationary and the bottom part of the progressive transform.
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*
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* Arguments
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* =========
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*
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* N (input) INTEGER
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* The order of the matrix L D L^T.
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*
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* B1 (input) INTEGER
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* First index of the submatrix of L D L^T.
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*
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* BN (input) INTEGER
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* Last index of the submatrix of L D L^T.
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*
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* LAMBDA (input) DOUBLE PRECISION
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* The shift. In order to compute an accurate eigenvector,
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* LAMBDA should be a good approximation to an eigenvalue
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* of L D L^T.
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*
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* L (input) DOUBLE PRECISION array, dimension (N-1)
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* The (n-1) subdiagonal elements of the unit bidiagonal matrix
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* L, in elements 1 to N-1.
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*
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* D (input) DOUBLE PRECISION array, dimension (N)
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* The n diagonal elements of the diagonal matrix D.
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*
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* LD (input) DOUBLE PRECISION array, dimension (N-1)
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* The n-1 elements L(i)*D(i).
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*
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* LLD (input) DOUBLE PRECISION array, dimension (N-1)
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* The n-1 elements L(i)*L(i)*D(i).
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*
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* PIVMIN (input) DOUBLE PRECISION
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* The minimum pivot in the Sturm sequence.
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*
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* GAPTOL (input) DOUBLE PRECISION
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* Tolerance that indicates when eigenvector entries are negligible
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* w.r.t. their contribution to the residual.
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*
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* Z (input/output) COMPLEX*16 array, dimension (N)
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* On input, all entries of Z must be set to 0.
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* On output, Z contains the (scaled) r-th column of the
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* inverse. The scaling is such that Z(R) equals 1.
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*
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* WANTNC (input) LOGICAL
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* Specifies whether NEGCNT has to be computed.
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*
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* NEGCNT (output) INTEGER
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* If WANTNC is .TRUE. then NEGCNT = the number of pivots < pivmin
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* in the matrix factorization L D L^T, and NEGCNT = -1 otherwise.
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*
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* ZTZ (output) DOUBLE PRECISION
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* The square of the 2-norm of Z.
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*
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* MINGMA (output) DOUBLE PRECISION
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* The reciprocal of the largest (in magnitude) diagonal
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* element of the inverse of L D L^T - sigma I.
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*
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* R (input/output) INTEGER
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* The twist index for the twisted factorization used to
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* compute Z.
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* On input, 0 <= R <= N. If R is input as 0, R is set to
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* the index where (L D L^T - sigma I)^{-1} is largest
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* in magnitude. If 1 <= R <= N, R is unchanged.
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* On output, R contains the twist index used to compute Z.
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* Ideally, R designates the position of the maximum entry in the
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* eigenvector.
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*
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* ISUPPZ (output) INTEGER array, dimension (2)
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* The support of the vector in Z, i.e., the vector Z is
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* nonzero only in elements ISUPPZ(1) through ISUPPZ( 2 ).
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*
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* NRMINV (output) DOUBLE PRECISION
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* NRMINV = 1/SQRT( ZTZ )
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*
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* RESID (output) DOUBLE PRECISION
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* The residual of the FP vector.
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* RESID = ABS( MINGMA )/SQRT( ZTZ )
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*
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* RQCORR (output) DOUBLE PRECISION
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* The Rayleigh Quotient correction to LAMBDA.
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* RQCORR = MINGMA*TMP
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*
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* WORK (workspace) DOUBLE PRECISION array, dimension (4*N)
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*
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* Further Details
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* ===============
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*
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* Based on contributions by
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* Beresford Parlett, University of California, Berkeley, USA
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* Jim Demmel, University of California, Berkeley, USA
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* Inderjit Dhillon, University of Texas, Austin, USA
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* Osni Marques, LBNL/NERSC, USA
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* Christof Voemel, University of California, Berkeley, USA
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*
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* =====================================================================
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*
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* .. Parameters ..
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DOUBLE PRECISION ZERO, ONE
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PARAMETER ( ZERO = 0.0D0, ONE = 1.0D0 )
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COMPLEX*16 CONE
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PARAMETER ( CONE = ( 1.0D0, 0.0D0 ) )
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* ..
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* .. Local Scalars ..
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LOGICAL SAWNAN1, SAWNAN2
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INTEGER I, INDLPL, INDP, INDS, INDUMN, NEG1, NEG2, R1,
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$ R2
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DOUBLE PRECISION DMINUS, DPLUS, EPS, S, TMP
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* ..
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* .. External Functions ..
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LOGICAL DISNAN
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DOUBLE PRECISION DLAMCH
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EXTERNAL DISNAN, DLAMCH
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC ABS, DBLE
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* ..
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* .. Executable Statements ..
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*
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EPS = DLAMCH( 'Precision' )
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IF( R.EQ.0 ) THEN
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R1 = B1
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R2 = BN
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ELSE
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R1 = R
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R2 = R
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END IF
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* Storage for LPLUS
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INDLPL = 0
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* Storage for UMINUS
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INDUMN = N
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INDS = 2*N + 1
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INDP = 3*N + 1
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IF( B1.EQ.1 ) THEN
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WORK( INDS ) = ZERO
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ELSE
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WORK( INDS+B1-1 ) = LLD( B1-1 )
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END IF
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*
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* Compute the stationary transform (using the differential form)
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* until the index R2.
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*
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SAWNAN1 = .FALSE.
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NEG1 = 0
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S = WORK( INDS+B1-1 ) - LAMBDA
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DO 50 I = B1, R1 - 1
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DPLUS = D( I ) + S
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WORK( INDLPL+I ) = LD( I ) / DPLUS
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IF(DPLUS.LT.ZERO) NEG1 = NEG1 + 1
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WORK( INDS+I ) = S*WORK( INDLPL+I )*L( I )
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S = WORK( INDS+I ) - LAMBDA
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50 CONTINUE
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SAWNAN1 = DISNAN( S )
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IF( SAWNAN1 ) GOTO 60
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DO 51 I = R1, R2 - 1
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DPLUS = D( I ) + S
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WORK( INDLPL+I ) = LD( I ) / DPLUS
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WORK( INDS+I ) = S*WORK( INDLPL+I )*L( I )
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S = WORK( INDS+I ) - LAMBDA
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51 CONTINUE
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SAWNAN1 = DISNAN( S )
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*
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60 CONTINUE
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IF( SAWNAN1 ) THEN
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* Runs a slower version of the above loop if a NaN is detected
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NEG1 = 0
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S = WORK( INDS+B1-1 ) - LAMBDA
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DO 70 I = B1, R1 - 1
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DPLUS = D( I ) + S
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IF(ABS(DPLUS).LT.PIVMIN) DPLUS = -PIVMIN
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WORK( INDLPL+I ) = LD( I ) / DPLUS
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IF(DPLUS.LT.ZERO) NEG1 = NEG1 + 1
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WORK( INDS+I ) = S*WORK( INDLPL+I )*L( I )
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IF( WORK( INDLPL+I ).EQ.ZERO )
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$ WORK( INDS+I ) = LLD( I )
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S = WORK( INDS+I ) - LAMBDA
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70 CONTINUE
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DO 71 I = R1, R2 - 1
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DPLUS = D( I ) + S
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IF(ABS(DPLUS).LT.PIVMIN) DPLUS = -PIVMIN
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WORK( INDLPL+I ) = LD( I ) / DPLUS
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WORK( INDS+I ) = S*WORK( INDLPL+I )*L( I )
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IF( WORK( INDLPL+I ).EQ.ZERO )
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$ WORK( INDS+I ) = LLD( I )
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S = WORK( INDS+I ) - LAMBDA
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71 CONTINUE
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END IF
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*
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* Compute the progressive transform (using the differential form)
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* until the index R1
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*
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SAWNAN2 = .FALSE.
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NEG2 = 0
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WORK( INDP+BN-1 ) = D( BN ) - LAMBDA
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DO 80 I = BN - 1, R1, -1
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DMINUS = LLD( I ) + WORK( INDP+I )
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TMP = D( I ) / DMINUS
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IF(DMINUS.LT.ZERO) NEG2 = NEG2 + 1
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WORK( INDUMN+I ) = L( I )*TMP
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WORK( INDP+I-1 ) = WORK( INDP+I )*TMP - LAMBDA
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80 CONTINUE
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TMP = WORK( INDP+R1-1 )
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SAWNAN2 = DISNAN( TMP )
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IF( SAWNAN2 ) THEN
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* Runs a slower version of the above loop if a NaN is detected
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NEG2 = 0
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DO 100 I = BN-1, R1, -1
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DMINUS = LLD( I ) + WORK( INDP+I )
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IF(ABS(DMINUS).LT.PIVMIN) DMINUS = -PIVMIN
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TMP = D( I ) / DMINUS
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IF(DMINUS.LT.ZERO) NEG2 = NEG2 + 1
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WORK( INDUMN+I ) = L( I )*TMP
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WORK( INDP+I-1 ) = WORK( INDP+I )*TMP - LAMBDA
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IF( TMP.EQ.ZERO )
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$ WORK( INDP+I-1 ) = D( I ) - LAMBDA
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100 CONTINUE
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END IF
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*
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* Find the index (from R1 to R2) of the largest (in magnitude)
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* diagonal element of the inverse
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*
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MINGMA = WORK( INDS+R1-1 ) + WORK( INDP+R1-1 )
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IF( MINGMA.LT.ZERO ) NEG1 = NEG1 + 1
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IF( WANTNC ) THEN
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NEGCNT = NEG1 + NEG2
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ELSE
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NEGCNT = -1
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ENDIF
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IF( ABS(MINGMA).EQ.ZERO )
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$ MINGMA = EPS*WORK( INDS+R1-1 )
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R = R1
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DO 110 I = R1, R2 - 1
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TMP = WORK( INDS+I ) + WORK( INDP+I )
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IF( TMP.EQ.ZERO )
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$ TMP = EPS*WORK( INDS+I )
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IF( ABS( TMP ).LE.ABS( MINGMA ) ) THEN
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MINGMA = TMP
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R = I + 1
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END IF
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110 CONTINUE
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*
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* Compute the FP vector: solve N^T v = e_r
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*
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ISUPPZ( 1 ) = B1
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ISUPPZ( 2 ) = BN
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Z( R ) = CONE
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ZTZ = ONE
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*
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* Compute the FP vector upwards from R
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*
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IF( .NOT.SAWNAN1 .AND. .NOT.SAWNAN2 ) THEN
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DO 210 I = R-1, B1, -1
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Z( I ) = -( WORK( INDLPL+I )*Z( I+1 ) )
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IF( (ABS(Z(I))+ABS(Z(I+1)))* ABS(LD(I)).LT.GAPTOL )
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$ THEN
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Z( I ) = ZERO
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ISUPPZ( 1 ) = I + 1
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GOTO 220
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ENDIF
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ZTZ = ZTZ + DBLE( Z( I )*Z( I ) )
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210 CONTINUE
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220 CONTINUE
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ELSE
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* Run slower loop if NaN occurred.
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DO 230 I = R - 1, B1, -1
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IF( Z( I+1 ).EQ.ZERO ) THEN
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Z( I ) = -( LD( I+1 ) / LD( I ) )*Z( I+2 )
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ELSE
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Z( I ) = -( WORK( INDLPL+I )*Z( I+1 ) )
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END IF
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IF( (ABS(Z(I))+ABS(Z(I+1)))* ABS(LD(I)).LT.GAPTOL )
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$ THEN
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Z( I ) = ZERO
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ISUPPZ( 1 ) = I + 1
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GO TO 240
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END IF
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ZTZ = ZTZ + DBLE( Z( I )*Z( I ) )
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230 CONTINUE
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240 CONTINUE
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ENDIF
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* Compute the FP vector downwards from R in blocks of size BLKSIZ
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IF( .NOT.SAWNAN1 .AND. .NOT.SAWNAN2 ) THEN
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DO 250 I = R, BN-1
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Z( I+1 ) = -( WORK( INDUMN+I )*Z( I ) )
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IF( (ABS(Z(I))+ABS(Z(I+1)))* ABS(LD(I)).LT.GAPTOL )
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$ THEN
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Z( I+1 ) = ZERO
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ISUPPZ( 2 ) = I
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GO TO 260
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END IF
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ZTZ = ZTZ + DBLE( Z( I+1 )*Z( I+1 ) )
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250 CONTINUE
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260 CONTINUE
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ELSE
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* Run slower loop if NaN occurred.
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DO 270 I = R, BN - 1
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IF( Z( I ).EQ.ZERO ) THEN
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Z( I+1 ) = -( LD( I-1 ) / LD( I ) )*Z( I-1 )
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ELSE
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Z( I+1 ) = -( WORK( INDUMN+I )*Z( I ) )
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END IF
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IF( (ABS(Z(I))+ABS(Z(I+1)))* ABS(LD(I)).LT.GAPTOL )
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$ THEN
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Z( I+1 ) = ZERO
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ISUPPZ( 2 ) = I
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GO TO 280
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END IF
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ZTZ = ZTZ + DBLE( Z( I+1 )*Z( I+1 ) )
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270 CONTINUE
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280 CONTINUE
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END IF
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*
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* Compute quantities for convergence test
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*
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TMP = ONE / ZTZ
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NRMINV = SQRT( TMP )
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RESID = ABS( MINGMA )*NRMINV
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RQCORR = MINGMA*TMP
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*
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*
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RETURN
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*
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* End of ZLAR1V
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*
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END
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