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claqr5.f(3) LAPACK claqr5.f(3)

NAME

claqr5.f

SYNOPSIS

Functions/Subroutines


subroutine claqr5 (WANTT, WANTZ, KACC22, N, KTOP, KBOT, NSHFTS, S, H, LDH, ILOZ, IHIZ, Z, LDZ, V, LDV, U, LDU, NV, WV, LDWV, NH, WH, LDWH)
CLAQR5 performs a single small-bulge multi-shift QR sweep.

Function/Subroutine Documentation

subroutine claqr5 (logical WANTT, logical WANTZ, integer KACC22, integer N, integer KTOP, integer KBOT, integer NSHFTS, complex, dimension( * ) S, complex, dimension( ldh, * ) H, integer LDH, integer ILOZ, integer IHIZ, complex, dimension( ldz, * ) Z, integer LDZ, complex, dimension( ldv, * ) V, integer LDV, complex, dimension( ldu, * ) U, integer LDU, integer NV, complex, dimension( ldwv, * ) WV, integer LDWV, integer NH, complex, dimension( ldwh, * ) WH, integer LDWH)

CLAQR5 performs a single small-bulge multi-shift QR sweep.

Purpose:


CLAQR5 called by CLAQR0 performs a
single small-bulge multi-shift QR sweep.

Parameters:

WANTT


WANTT is LOGICAL
WANTT = .true. if the triangular Schur factor
is being computed. WANTT is set to .false. otherwise.

WANTZ


WANTZ is LOGICAL
WANTZ = .true. if the unitary Schur factor is being
computed. WANTZ is set to .false. otherwise.

KACC22


KACC22 is INTEGER with value 0, 1, or 2.
Specifies the computation mode of far-from-diagonal
orthogonal updates.
= 0: CLAQR5 does not accumulate reflections and does not
use matrix-matrix multiply to update far-from-diagonal
matrix entries.
= 1: CLAQR5 accumulates reflections and uses matrix-matrix
multiply to update the far-from-diagonal matrix entries.
= 2: CLAQR5 accumulates reflections, uses matrix-matrix
multiply to update the far-from-diagonal matrix entries,
and takes advantage of 2-by-2 block structure during
matrix multiplies.

N


N is INTEGER
N is the order of the Hessenberg matrix H upon which this
subroutine operates.

KTOP


KTOP is INTEGER

KBOT


KBOT is INTEGER
These are the first and last rows and columns of an
isolated diagonal block upon which the QR sweep is to be
applied. It is assumed without a check that
either KTOP = 1 or H(KTOP,KTOP-1) = 0
and
either KBOT = N or H(KBOT+1,KBOT) = 0.

NSHFTS


NSHFTS is INTEGER
NSHFTS gives the number of simultaneous shifts. NSHFTS
must be positive and even.

S


S is COMPLEX array, dimension (NSHFTS)
S contains the shifts of origin that define the multi-
shift QR sweep. On output S may be reordered.

H


H is COMPLEX array, dimension (LDH,N)
On input H contains a Hessenberg matrix. On output a
multi-shift QR sweep with shifts SR(J)+i*SI(J) is applied
to the isolated diagonal block in rows and columns KTOP
through KBOT.

LDH


LDH is INTEGER
LDH is the leading dimension of H just as declared in the
calling procedure. LDH.GE.MAX(1,N).

ILOZ


ILOZ is INTEGER

IHIZ


IHIZ is INTEGER
Specify the rows of Z to which transformations must be
applied if WANTZ is .TRUE.. 1 .LE. ILOZ .LE. IHIZ .LE. N

Z


Z is COMPLEX array, dimension (LDZ,IHIZ)
If WANTZ = .TRUE., then the QR Sweep unitary
similarity transformation is accumulated into
Z(ILOZ:IHIZ,ILOZ:IHIZ) from the right.
If WANTZ = .FALSE., then Z is unreferenced.

LDZ


LDZ is INTEGER
LDA is the leading dimension of Z just as declared in
the calling procedure. LDZ.GE.N.

V


V is COMPLEX array, dimension (LDV,NSHFTS/2)

LDV


LDV is INTEGER
LDV is the leading dimension of V as declared in the
calling procedure. LDV.GE.3.

U


U is COMPLEX array, dimension (LDU,3*NSHFTS-3)

LDU


LDU is INTEGER
LDU is the leading dimension of U just as declared in the
in the calling subroutine. LDU.GE.3*NSHFTS-3.

NH


NH is INTEGER
NH is the number of columns in array WH available for
workspace. NH.GE.1.

WH


WH is COMPLEX array, dimension (LDWH,NH)

LDWH


LDWH is INTEGER
Leading dimension of WH just as declared in the
calling procedure. LDWH.GE.3*NSHFTS-3.

NV


NV is INTEGER
NV is the number of rows in WV agailable for workspace.
NV.GE.1.

WV


WV is COMPLEX array, dimension (LDWV,3*NSHFTS-3)

LDWV


LDWV is INTEGER
LDWV is the leading dimension of WV as declared in the
in the calling subroutine. LDWV.GE.NV.

Author:

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Date:

June 2016

Contributors:

Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

References:

K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 Performance, SIAM Journal of Matrix Analysis, volume 23, pages 929--947, 2002.

Definition at line 251 of file claqr5.f.

Author

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