508 lines
17 KiB
FortranFixed
508 lines
17 KiB
FortranFixed
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c\BeginDoc
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c
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c\Name: znapps
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c
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c\Description:
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c Given the Arnoldi factorization
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c
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c A*V_{k} - V_{k}*H_{k} = r_{k+p}*e_{k+p}^T,
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c
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c apply NP implicit shifts resulting in
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c
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c A*(V_{k}*Q) - (V_{k}*Q)*(Q^T* H_{k}*Q) = r_{k+p}*e_{k+p}^T * Q
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c
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c where Q is an orthogonal matrix which is the product of rotations
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c and reflections resulting from the NP bulge change sweeps.
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c The updated Arnoldi factorization becomes:
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c
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c A*VNEW_{k} - VNEW_{k}*HNEW_{k} = rnew_{k}*e_{k}^T.
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c
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c\Usage:
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c call znapps
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c ( N, KEV, NP, SHIFT, V, LDV, H, LDH, RESID, Q, LDQ,
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c WORKL, WORKD )
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c
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c\Arguments
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c N Integer. (INPUT)
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c Problem size, i.e. size of matrix A.
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c
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c KEV Integer. (INPUT/OUTPUT)
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c KEV+NP is the size of the input matrix H.
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c KEV is the size of the updated matrix HNEW.
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c
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c NP Integer. (INPUT)
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c Number of implicit shifts to be applied.
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c
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c SHIFT Complex*16 array of length NP. (INPUT)
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c The shifts to be applied.
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c
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c V Complex*16 N by (KEV+NP) array. (INPUT/OUTPUT)
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c On INPUT, V contains the current KEV+NP Arnoldi vectors.
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c On OUTPUT, V contains the updated KEV Arnoldi vectors
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c in the first KEV columns of V.
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c
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c LDV Integer. (INPUT)
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c Leading dimension of V exactly as declared in the calling
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c program.
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c
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c H Complex*16 (KEV+NP) by (KEV+NP) array. (INPUT/OUTPUT)
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c On INPUT, H contains the current KEV+NP by KEV+NP upper
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c Hessenberg matrix of the Arnoldi factorization.
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c On OUTPUT, H contains the updated KEV by KEV upper Hessenberg
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c matrix in the KEV leading submatrix.
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c
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c LDH Integer. (INPUT)
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c Leading dimension of H exactly as declared in the calling
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c program.
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c
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c RESID Complex*16 array of length N. (INPUT/OUTPUT)
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c On INPUT, RESID contains the the residual vector r_{k+p}.
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c On OUTPUT, RESID is the update residual vector rnew_{k}
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c in the first KEV locations.
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c
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c Q Complex*16 KEV+NP by KEV+NP work array. (WORKSPACE)
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c Work array used to accumulate the rotations and reflections
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c during the bulge chase sweep.
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c
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c LDQ Integer. (INPUT)
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c Leading dimension of Q exactly as declared in the calling
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c program.
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c
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c WORKL Complex*16 work array of length (KEV+NP). (WORKSPACE)
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c Private (replicated) array on each PE or array allocated on
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c the front end.
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c
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c WORKD Complex*16 work array of length 2*N. (WORKSPACE)
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c Distributed array used in the application of the accumulated
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c orthogonal matrix Q.
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c
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c\EndDoc
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c
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c-----------------------------------------------------------------------
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c
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c\BeginLib
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c
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c\Local variables:
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c xxxxxx Complex*16
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c
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c\References:
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c 1. D.C. Sorensen, "Implicit Application of Polynomial Filters in
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c a k-Step Arnoldi Method", SIAM J. Matr. Anal. Apps., 13 (1992),
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c pp 357-385.
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c
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c\Routines called:
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c ivout ARPACK utility routine that prints integers.
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c second ARPACK utility routine for timing.
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c zmout ARPACK utility routine that prints matrices
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c zvout ARPACK utility routine that prints vectors.
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c zlacpy LAPACK matrix copy routine.
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c zlanhs LAPACK routine that computes various norms of a matrix.
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c zlartg LAPACK Givens rotation construction routine.
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c zlaset LAPACK matrix initialization routine.
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c dlabad LAPACK routine for defining the underflow and overflow
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c limits.
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c dlamch LAPACK routine that determines machine constants.
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c dlapy2 LAPACK routine to compute sqrt(x**2+y**2) carefully.
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c zgemv Level 2 BLAS routine for matrix vector multiplication.
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c zaxpy Level 1 BLAS that computes a vector triad.
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c zcopy Level 1 BLAS that copies one vector to another.
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c zscal Level 1 BLAS that scales a vector.
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c
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c\Author
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c Danny Sorensen Phuong Vu
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c Richard Lehoucq CRPC / Rice University
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c Dept. of Computational & Houston, Texas
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c Applied Mathematics
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c Rice University
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c Houston, Texas
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c
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c\SCCS Information: @(#)
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c FILE: napps.F SID: 2.3 DATE OF SID: 3/28/97 RELEASE: 2
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c
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c\Remarks
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c 1. In this version, each shift is applied to all the sublocks of
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c the Hessenberg matrix H and not just to the submatrix that it
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c comes from. Deflation as in LAPACK routine zlahqr (QR algorithm
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c for upper Hessenberg matrices ) is used.
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c Upon output, the subdiagonals of H are enforced to be non-negative
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c real numbers.
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c
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c\EndLib
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c
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c-----------------------------------------------------------------------
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c
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subroutine znapps
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& ( n, kev, np, shift, v, ldv, h, ldh, resid, q, ldq,
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& workl, workd )
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c
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c %----------------------------------------------------%
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c | Include files for debugging and timing information |
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c %----------------------------------------------------%
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c
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include 'debug.h'
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include 'stat.h'
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c
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c %------------------%
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c | Scalar Arguments |
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c %------------------%
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c
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integer kev, ldh, ldq, ldv, n, np
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c
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c %-----------------%
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c | Array Arguments |
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c %-----------------%
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c
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Complex*16
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& h(ldh,kev+np), resid(n), shift(np),
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& v(ldv,kev+np), q(ldq,kev+np), workd(2*n), workl(kev+np)
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c
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c %------------%
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c | Parameters |
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c %------------%
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c
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Complex*16
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& one, zero
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Double precision
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& rzero
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parameter (one = (1.0D+0, 0.0D+0), zero = (0.0D+0, 0.0D+0),
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& rzero = 0.0D+0)
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c
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c %------------------------%
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c | Local Scalars & Arrays |
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c %------------------------%
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c
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integer i, iend, istart, j, jj, kplusp, msglvl
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logical first
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Complex*16
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& cdum, f, g, h11, h21, r, s, sigma, t
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Double precision
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& c, ovfl, smlnum, ulp, unfl, tst1
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save first, ovfl, smlnum, ulp, unfl
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c
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c %----------------------%
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c | External Subroutines |
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c %----------------------%
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c
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external zaxpy, zcopy, zgemv, zscal, zlacpy, zlartg,
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& zvout, zlaset, dlabad, zmout, second, ivout
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c
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c %--------------------%
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c | External Functions |
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c %--------------------%
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c
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Double precision
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& zlanhs, dlamch, dlapy2
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external zlanhs, dlamch, dlapy2
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c
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c %----------------------%
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c | Intrinsics Functions |
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c %----------------------%
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c
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intrinsic abs, dimag, conjg, dcmplx, max, min, dble
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c
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c %---------------------%
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c | Statement Functions |
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c %---------------------%
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c
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Double precision
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& zabs1
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zabs1( cdum ) = abs( dble( cdum ) ) + abs( dimag( cdum ) )
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c
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c %----------------%
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c | Data statments |
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c %----------------%
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c
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data first / .true. /
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c
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c %-----------------------%
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c | Executable Statements |
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c %-----------------------%
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c
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if (first) then
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c
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c %-----------------------------------------------%
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c | Set machine-dependent constants for the |
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c | stopping criterion. If norm(H) <= sqrt(OVFL), |
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c | overflow should not occur. |
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c | REFERENCE: LAPACK subroutine zlahqr |
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c %-----------------------------------------------%
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c
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unfl = dlamch( 'safe minimum' )
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ovfl = dble(one / unfl)
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call dlabad( unfl, ovfl )
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ulp = dlamch( 'precision' )
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smlnum = unfl*( n / ulp )
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first = .false.
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end if
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c
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c %-------------------------------%
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c | Initialize timing statistics |
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c | & message level for debugging |
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c %-------------------------------%
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c
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call second (t0)
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msglvl = mcapps
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c
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kplusp = kev + np
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c
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c %--------------------------------------------%
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c | Initialize Q to the identity to accumulate |
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c | the rotations and reflections |
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c %--------------------------------------------%
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c
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call zlaset ('All', kplusp, kplusp, zero, one, q, ldq)
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c
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c %----------------------------------------------%
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c | Quick return if there are no shifts to apply |
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c %----------------------------------------------%
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c
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if (np .eq. 0) go to 9000
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c
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c %----------------------------------------------%
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c | Chase the bulge with the application of each |
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c | implicit shift. Each shift is applied to the |
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c | whole matrix including each block. |
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c %----------------------------------------------%
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c
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do 110 jj = 1, np
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sigma = shift(jj)
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c
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if (msglvl .gt. 2 ) then
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call ivout (logfil, 1, jj, ndigit,
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& '_napps: shift number.')
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call zvout (logfil, 1, sigma, ndigit,
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& '_napps: Value of the shift ')
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end if
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c
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istart = 1
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20 continue
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c
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do 30 i = istart, kplusp-1
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c
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c %----------------------------------------%
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c | Check for splitting and deflation. Use |
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c | a standard test as in the QR algorithm |
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c | REFERENCE: LAPACK subroutine zlahqr |
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c %----------------------------------------%
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c
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tst1 = zabs1( h( i, i ) ) + zabs1( h( i+1, i+1 ) )
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if( tst1.eq.rzero )
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& tst1 = zlanhs( '1', kplusp-jj+1, h, ldh, workl )
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if ( abs(dble(h(i+1,i)))
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& .le. max(ulp*tst1, smlnum) ) then
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if (msglvl .gt. 0) then
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call ivout (logfil, 1, i, ndigit,
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& '_napps: matrix splitting at row/column no.')
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call ivout (logfil, 1, jj, ndigit,
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& '_napps: matrix splitting with shift number.')
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call zvout (logfil, 1, h(i+1,i), ndigit,
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& '_napps: off diagonal element.')
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end if
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iend = i
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h(i+1,i) = zero
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go to 40
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end if
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30 continue
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iend = kplusp
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40 continue
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c
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if (msglvl .gt. 2) then
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call ivout (logfil, 1, istart, ndigit,
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& '_napps: Start of current block ')
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call ivout (logfil, 1, iend, ndigit,
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& '_napps: End of current block ')
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end if
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c
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c %------------------------------------------------%
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c | No reason to apply a shift to block of order 1 |
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c | or if the current block starts after the point |
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c | of compression since we'll discard this stuff |
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c %------------------------------------------------%
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c
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if ( istart .eq. iend .or. istart .gt. kev) go to 100
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c
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h11 = h(istart,istart)
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h21 = h(istart+1,istart)
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f = h11 - sigma
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g = h21
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c
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do 80 i = istart, iend-1
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c
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c %------------------------------------------------------%
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c | Construct the plane rotation G to zero out the bulge |
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c %------------------------------------------------------%
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c
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call zlartg (f, g, c, s, r)
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if (i .gt. istart) then
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h(i,i-1) = r
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h(i+1,i-1) = zero
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end if
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c
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c %---------------------------------------------%
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c | Apply rotation to the left of H; H <- G'*H |
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c %---------------------------------------------%
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c
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do 50 j = i, kplusp
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t = c*h(i,j) + s*h(i+1,j)
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h(i+1,j) = -conjg(s)*h(i,j) + c*h(i+1,j)
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h(i,j) = t
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50 continue
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c
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c %---------------------------------------------%
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c | Apply rotation to the right of H; H <- H*G |
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c %---------------------------------------------%
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c
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do 60 j = 1, min(i+2,iend)
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t = c*h(j,i) + conjg(s)*h(j,i+1)
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h(j,i+1) = -s*h(j,i) + c*h(j,i+1)
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h(j,i) = t
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60 continue
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c
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c %-----------------------------------------------------%
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c | Accumulate the rotation in the matrix Q; Q <- Q*G' |
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c %-----------------------------------------------------%
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c
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do 70 j = 1, min(i+jj, kplusp)
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t = c*q(j,i) + conjg(s)*q(j,i+1)
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q(j,i+1) = - s*q(j,i) + c*q(j,i+1)
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q(j,i) = t
|
||
|
|
70 continue
|
||
|
|
c
|
||
|
|
c %---------------------------%
|
||
|
|
c | Prepare for next rotation |
|
||
|
|
c %---------------------------%
|
||
|
|
c
|
||
|
|
if (i .lt. iend-1) then
|
||
|
|
f = h(i+1,i)
|
||
|
|
g = h(i+2,i)
|
||
|
|
end if
|
||
|
|
80 continue
|
||
|
|
c
|
||
|
|
c %-------------------------------%
|
||
|
|
c | Finished applying the shift. |
|
||
|
|
c %-------------------------------%
|
||
|
|
c
|
||
|
|
100 continue
|
||
|
|
c
|
||
|
|
c %---------------------------------------------------------%
|
||
|
|
c | Apply the same shift to the next block if there is any. |
|
||
|
|
c %---------------------------------------------------------%
|
||
|
|
c
|
||
|
|
istart = iend + 1
|
||
|
|
if (iend .lt. kplusp) go to 20
|
||
|
|
c
|
||
|
|
c %---------------------------------------------%
|
||
|
|
c | Loop back to the top to get the next shift. |
|
||
|
|
c %---------------------------------------------%
|
||
|
|
c
|
||
|
|
110 continue
|
||
|
|
c
|
||
|
|
c %---------------------------------------------------%
|
||
|
|
c | Perform a similarity transformation that makes |
|
||
|
|
c | sure that the compressed H will have non-negative |
|
||
|
|
c | real subdiagonal elements. |
|
||
|
|
c %---------------------------------------------------%
|
||
|
|
c
|
||
|
|
do 120 j=1,kev
|
||
|
|
if ( dble( h(j+1,j) ) .lt. rzero .or.
|
||
|
|
& dimag( h(j+1,j) ) .ne. rzero ) then
|
||
|
|
t = h(j+1,j) / dlapy2(dble(h(j+1,j)),dimag(h(j+1,j)))
|
||
|
|
call zscal( kplusp-j+1, conjg(t), h(j+1,j), ldh )
|
||
|
|
call zscal( min(j+2, kplusp), t, h(1,j+1), 1 )
|
||
|
|
call zscal( min(j+np+1,kplusp), t, q(1,j+1), 1 )
|
||
|
|
h(j+1,j) = dcmplx( dble( h(j+1,j) ), rzero )
|
||
|
|
end if
|
||
|
|
120 continue
|
||
|
|
c
|
||
|
|
do 130 i = 1, kev
|
||
|
|
c
|
||
|
|
c %--------------------------------------------%
|
||
|
|
c | Final check for splitting and deflation. |
|
||
|
|
c | Use a standard test as in the QR algorithm |
|
||
|
|
c | REFERENCE: LAPACK subroutine zlahqr. |
|
||
|
|
c | Note: Since the subdiagonals of the |
|
||
|
|
c | compressed H are nonnegative real numbers, |
|
||
|
|
c | we take advantage of this. |
|
||
|
|
c %--------------------------------------------%
|
||
|
|
c
|
||
|
|
tst1 = zabs1( h( i, i ) ) + zabs1( h( i+1, i+1 ) )
|
||
|
|
if( tst1 .eq. rzero )
|
||
|
|
& tst1 = zlanhs( '1', kev, h, ldh, workl )
|
||
|
|
if( dble( h( i+1,i ) ) .le. max( ulp*tst1, smlnum ) )
|
||
|
|
& h(i+1,i) = zero
|
||
|
|
130 continue
|
||
|
|
c
|
||
|
|
c %-------------------------------------------------%
|
||
|
|
c | Compute the (kev+1)-st column of (V*Q) and |
|
||
|
|
c | temporarily store the result in WORKD(N+1:2*N). |
|
||
|
|
c | This is needed in the residual update since we |
|
||
|
|
c | cannot GUARANTEE that the corresponding entry |
|
||
|
|
c | of H would be zero as in exact arithmetic. |
|
||
|
|
c %-------------------------------------------------%
|
||
|
|
c
|
||
|
|
if ( dble( h(kev+1,kev) ) .gt. rzero )
|
||
|
|
& call zgemv ('N', n, kplusp, one, v, ldv, q(1,kev+1), 1, zero,
|
||
|
|
& workd(n+1), 1)
|
||
|
|
c
|
||
|
|
c %----------------------------------------------------------%
|
||
|
|
c | Compute column 1 to kev of (V*Q) in backward order |
|
||
|
|
c | taking advantage of the upper Hessenberg structure of Q. |
|
||
|
|
c %----------------------------------------------------------%
|
||
|
|
c
|
||
|
|
do 140 i = 1, kev
|
||
|
|
call zgemv ('N', n, kplusp-i+1, one, v, ldv,
|
||
|
|
& q(1,kev-i+1), 1, zero, workd, 1)
|
||
|
|
call zcopy (n, workd, 1, v(1,kplusp-i+1), 1)
|
||
|
|
140 continue
|
||
|
|
c
|
||
|
|
c %-------------------------------------------------%
|
||
|
|
c | Move v(:,kplusp-kev+1:kplusp) into v(:,1:kev). |
|
||
|
|
c %-------------------------------------------------%
|
||
|
|
c
|
||
|
|
call zlacpy ('A', n, kev, v(1,kplusp-kev+1), ldv, v, ldv)
|
||
|
|
c
|
||
|
|
c %--------------------------------------------------------------%
|
||
|
|
c | Copy the (kev+1)-st column of (V*Q) in the appropriate place |
|
||
|
|
c %--------------------------------------------------------------%
|
||
|
|
c
|
||
|
|
if ( dble( h(kev+1,kev) ) .gt. rzero )
|
||
|
|
& call zcopy (n, workd(n+1), 1, v(1,kev+1), 1)
|
||
|
|
c
|
||
|
|
c %-------------------------------------%
|
||
|
|
c | Update the residual vector: |
|
||
|
|
c | r <- sigmak*r + betak*v(:,kev+1) |
|
||
|
|
c | where |
|
||
|
|
c | sigmak = (e_{kev+p}'*Q)*e_{kev} |
|
||
|
|
c | betak = e_{kev+1}'*H*e_{kev} |
|
||
|
|
c %-------------------------------------%
|
||
|
|
c
|
||
|
|
call zscal (n, q(kplusp,kev), resid, 1)
|
||
|
|
if ( dble( h(kev+1,kev) ) .gt. rzero )
|
||
|
|
& call zaxpy (n, h(kev+1,kev), v(1,kev+1), 1, resid, 1)
|
||
|
|
c
|
||
|
|
if (msglvl .gt. 1) then
|
||
|
|
call zvout (logfil, 1, q(kplusp,kev), ndigit,
|
||
|
|
& '_napps: sigmak = (e_{kev+p}^T*Q)*e_{kev}')
|
||
|
|
call zvout (logfil, 1, h(kev+1,kev), ndigit,
|
||
|
|
& '_napps: betak = e_{kev+1}^T*H*e_{kev}')
|
||
|
|
call ivout (logfil, 1, kev, ndigit,
|
||
|
|
& '_napps: Order of the final Hessenberg matrix ')
|
||
|
|
if (msglvl .gt. 2) then
|
||
|
|
call zmout (logfil, kev, kev, h, ldh, ndigit,
|
||
|
|
& '_napps: updated Hessenberg matrix H for next iteration')
|
||
|
|
end if
|
||
|
|
c
|
||
|
|
end if
|
||
|
|
c
|
||
|
|
9000 continue
|
||
|
|
call second (t1)
|
||
|
|
tcapps = tcapps + (t1 - t0)
|
||
|
|
c
|
||
|
|
return
|
||
|
|
c
|
||
|
|
c %---------------%
|
||
|
|
c | End of znapps |
|
||
|
|
c %---------------%
|
||
|
|
c
|
||
|
|
end
|