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zlahqr (3)
  • >> zlahqr (3) ( Solaris man: Библиотечные вызовы )
  • 
    NAME
         zlahqr - i an auxiliary routine called by ZHSEQR  to  update
         the  eigenvalues and Schur decomposition already computed by
         ZHSEQR, by dealing with the Hessenberg submatrix in rows and
         columns ILO to IHI
    
    SYNOPSIS
         SUBROUTINE ZLAHQR( WANTT, WANTZ, N, ILO,  IHI,  H,  LDH,  W,
                   ILOZ, IHIZ, Z, LDZ, INFO )
    
         LOGICAL WANTT, WANTZ
    
         INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N
    
         COMPLEX*16 H( LDH, * ), W( * ), Z( LDZ, * )
    
    
    
         #include <sunperf.h>
    
         void zlahqr(int wantt, int wantz, int n, int ilo,  int  ihi,
                   doublecomplex  *h,  int ldh, doublecomplex *w, int
                   iloz, int ihiz, doublecomplex *zz,  int  ldz,  int
                   *info) ;
    
    PURPOSE
         ZLAHQR is an auxiliary routine called by  ZHSEQR  to  update
         the  eigenvalues and Schur decomposition already computed by
         ZHSEQR, by dealing with the Hessenberg submatrix in rows and
         columns ILO to IHI.
    
    
    ARGUMENTS
         WANTT     (input) LOGICAL
                   = .TRUE. : the full Schur form T is required;
                   = .FALSE.: only eigenvalues are required.
    
         WANTZ     (input) LOGICAL
                   = .TRUE. :  the  matrix  of  Schur  vectors  Z  is
                   required;
                   = .FALSE.: Schur vectors are not required.
    
         N         (input) INTEGER
                   The order of the matrix H.  N >= 0.
    
         ILO       (input) INTEGER
                   IHI     (input) INTEGER It is assumed  that  H  is
                   already  upper  triangular  in  rows  and  columns
                   IHI+1:N, and that H(ILO,ILO-1) = 0 (unless  ILO  =
                   1).   ZLAHQR  works  primarily with the Hessenberg
                   submatrix in rows and  columns  ILO  to  IHI,  but
                   applies  transformations  to  all of H if WANTT is
                   .TRUE..  1 <= ILO <= max(1,IHI); IHI <= N.
    
         H         (input/output) COMPLEX*16 array, dimension (LDH,N)
                   On entry, the upper Hessenberg matrix H.  On exit,
                   if  WANTT is .TRUE., H is upper triangular in rows
                   and columns  ILO:IHI,  with  any  2-by-2  diagonal
                   blocks  in standard form. If WANTT is .FALSE., the
                   contents of H are unspecified on exit.
    
         LDH       (input) INTEGER
                   The leading dimension  of  the  array  H.  LDH  >=
                   max(1,N).
    
         W         (output) COMPLEX*16 array, dimension (N)
                   The computed eigenvalues ILO to IHI are stored  in
                   the  corresponding  elements  of  W.  If  WANTT is
                   .TRUE., the eigenvalues are  stored  in  the  same
                   order  as  on  the  diagonal  of  the  Schur  form
                   returned in H, with W(i) = H(i,i).
    
         ILOZ      (input) INTEGER
                   IHIZ    (input) INTEGER Specify the rows of  Z  to
                   which  transformations must be applied if WANTZ is
                   .TRUE..  1 <= ILOZ <= ILO; IHI <= IHIZ <= N.
    
         Z         (input/output) COMPLEX*16 array, dimension (LDZ,N)
                   If WANTZ is .TRUE., on entry Z  must  contain  the
                   current matrix Z of transformations accumulated by
                   ZHSEQR, and on exit Z has been updated;  transfor-
                   mations   are   applied   only  to  the  submatrix
                   Z(ILOZ:IHIZ,ILO:IHI).  If WANTZ is .FALSE.,  Z  is
                   not referenced.
    
         LDZ       (input) INTEGER
                   The leading dimension  of  the  array  Z.  LDZ  >=
                   max(1,N).
    
         INFO      (output) INTEGER
                   = 0: successful exit
                   > 0: if INFO = i, ZLAHQR failed to compute all the
                   eigenvalues  ILO  to  IHI  in  a total of 30*(IHI-
                   ILO+1) iterations; elements i+1:ihi of  W  contain
                   those  eigenvalues  which  have  been successfully
                   computed.
    
    
    
    


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