SRC/zlar1v.f(3)
π NAME π
SRC/zlar1v.f β from the Library Functions Manual, bestie. This is the page for the zlar1v subroutine, and it is giving one function, whole page, main character energy. π
β¨ SYNOPSIS β¨
π§ Functions/Subroutines π§
subroutine zlar1v (n, b1, bn, lambda, d, l, ld, lld, pivmin, gaptol, z,
wantnc, negcnt, ztz, mingma, r, isuppz, nrminv, resid, rqcorr, work)
ZLAR1V computes the (scaled) r-th column of the inverse of the
submatrix in rows b1 through bn of the tridiagonal matrix LDLT - Ξ»I.
π¦ Function/Subroutine Documentation π¦
subroutine zlar1v (integer n, integer b1, integer bn, double precision
lambda, double precision, dimension( * ) d, double precision, dimension(
* ) l, double precision, dimension( * ) ld, double precision, dimension(
* ) lld, double precision pivmin, double precision gaptol, complex*16,
dimension( * ) z, logical wantnc, integer negcnt, double precision ztz,
double precision mingma, integer r, integer, dimension( * ) isuppz,
double precision nrminv, double precision resid, double precision
rqcorr, double precision, dimension( * ) work)
ZLAR1V computes the (scaled) r-th column of the inverse of the submatrix
in rows b1 through bn of the tridiagonal matrix LDLT - Ξ»I.
πΈ Purpose πΈ
Okay so here's the tea: ZLAR1V computes the (scaled) r-th column of the inverse of the sumbmatrix in rows B1 through BN of the tridiagonal matrix L D L**T - sigma I. (Yes, βsumbmatrixβ is what the source says, and honestly π.) When sigma is close to an eigenvalue, the computed vector is an accurate eigenvector. Usually, r corresponds to the index where the eigenvector is largest in magnitude.
The following steps accomplish this computation:
- (a) Stationary qd transform,
L D L**T - sigma I = L(+) D(+) L(+)**T - (b) Progressive qd transform,
L D L**T - sigma I = U(-) D(-) U(-)**T - (c) Computation of the diagonal elements of the inverse of
L D L**T - sigma Iby combining the above transforms, and choosingras the index where the diagonal of the inverse is (one of the) largest in magnitude. - (d) Computation of the (scaled)
r-th column of the inverse using the twisted factorization obtained by combining the top part of the stationary and the bottom part of the progressive transform.
π Parameters π
NβNisINTEGER; the order of the matrixL D L**T.B1βB1isINTEGER; first index of the submatrix ofL D L**T.BNβBNisINTEGER; last index of the submatrix ofL D L**T.LAMBDAβLAMBDAisDOUBLE PRECISION. The shift. In order to compute an accurate eigenvector,LAMBDAshould be a good approximation to an eigenvalue ofL D L**T.LβLisDOUBLE PRECISION array, dimension (N-1). The (n-1) subdiagonal elements of the unit bidiagonal matrixL, in elements 1 to N-1.DβDisDOUBLE PRECISION array, dimension (N). The n diagonal elements of the diagonal matrixD.LDβLDisDOUBLE PRECISION array, dimension (N-1). The n-1 elementsL(i)*D(i).LLDβLLDisDOUBLE PRECISION array, dimension (N-1). The n-1 elementsL(i)*L(i)*D(i).PIVMINβPIVMINisDOUBLE PRECISION. The minimum pivot in the Sturm sequence.GAPTOLβGAPTOLisDOUBLE PRECISION. Tolerance that indicates when eigenvector entries are negligible w.r.t. their contribution to the residual.ZβZisCOMPLEX*16 array, dimension (N). On input, all entries ofZmust be set to0. On output,Zcontains the (scaled)r-th column of the inverse. The scaling is such thatZ(R)equals1.WANTNCβWANTNCisLOGICAL. Specifies whetherNEGCNThas to be computed.NEGCNTβNEGCNTisINTEGER. IfWANTNCis.TRUE.thenNEGCNT= the number of pivots< pivminin the matrix factorizationL D L**T, andNEGCNT = -1otherwise.ZTZβZTZisDOUBLE PRECISION. The square of the 2-norm ofZ.MINGMAβMINGMAisDOUBLE PRECISION. The reciprocal of the largest (in magnitude) diagonal element of the inverse ofL D L**T - sigma I.RβRisINTEGER. The twist index for the twisted factorization used to computeZ. On input,0 <= R <= N. IfRis input as0,Ris set to the index where(L D L**T - sigma I)^{-1}is largest in magnitude. If1 <= R <= N,Ris unchanged. On output,Rcontains the twist index used to computeZ. Ideally,Rdesignates the position of the maximum entry in the eigenvector.ISUPPZβISUPPZisINTEGER array, dimension (2). The support of the vector inZ, i.e., the vectorZis nonzero only in elementsISUPPZ(1)throughISUPPZ( 2 ).NRMINVβNRMINVisDOUBLE PRECISION.NRMINV = 1/SQRT( ZTZ )RESIDβRESIDisDOUBLE PRECISION. The residual of the FP vector.RESID = ABS( MINGMA )/SQRT( ZTZ )RQCORRβRQCORRisDOUBLE PRECISION. The Rayleigh Quotient correction toLAMBDA.RQCORR = MINGMA*TMPWORKβWORKisDOUBLE PRECISION array, dimension (4*N).
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Contributors π
- 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
Definition at line 227 of file zlar1v.f.
π Author π
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