slahqr man page on Scientific

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SLAHQR(1)	    LAPACK auxiliary routine (version 3.2)	     SLAHQR(1)

NAME
       SLAHQR  -  SLAHQR i an auxiliary routine called by SHSEQR to update the
       eigenvalues and Schur decomposition  already  computed  by  SHSEQR,  by
       dealing with the Hessenberg submatrix in rows and columns ILO to	 IHI

SYNOPSIS
       SUBROUTINE SLAHQR( WANTT,  WANTZ,  N,  ILO,  IHI, H, LDH, WR, WI, ILOZ,
			  IHIZ, Z, LDZ, INFO )

	   INTEGER	  IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N

	   LOGICAL	  WANTT, WANTZ

	   REAL		  H( LDH, * ), WI( * ), WR( * ), Z( LDZ, * )

PURPOSE
	  SLAHQR is an auxiliary routine called by SHSEQR to update the
	  eigenvalues and Schur decomposition already computed by SHSEQR, 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
	       quasi-triangular	  in   rows  and  columns  IHI+1:N,  and  that
	       H(ILO,ILO-1) = 0 (unless ILO = 1). SLAHQR 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) REAL array, dimension (LDH,N)
	       On  entry,  the upper Hessenberg matrix H.  On exit, if INFO is
	       zero and if WANTT is .TRUE., H  is  upper  quasi-triangular  in
	       rows  and  columns  ILO:IHI, with any 2-by-2 diagonal blocks in
	       standard form. If INFO is zero and WANTT is .FALSE.,  the  con‐
	       tents  of  H are unspecified on exit.  The output state of H if
	       INFO is nonzero is given below under the description of INFO.

       LDH     (input) INTEGER
	       The leading dimension of the array H. LDH >= max(1,N).

       WR      (output) REAL array, dimension (N)
	       WI      (output) REAL array, dimension (N) The real and	imagi‐
	       nary  parts,  respectively,  of the computed eigenvalues ILO to
	       IHI are stored in the corresponding elements of WR and  WI.  If
	       two  eigenvalues are computed as a complex conjugate pair, they
	       are stored in consecutive elements of WR and WI, say  the  i-th
	       and  (i+1)th,  with  WI(i)  >  0	 and  WI(i+1) < 0. If WANTT is
	       .TRUE., the eigenvalues are stored in the same order as on  the
	       diagonal	 of the Schur form returned in H, with WR(i) = H(i,i),
	       and, if H(i:i+1,i:i+1) is a  2-by-2  diagonal  block,  WI(i)  =
	       sqrt(H(i+1,i)*H(i,i+1)) and WI(i+1) = -WI(i).

       ILOZ    (input) INTEGER
	       IHIZ	(input)	 INTEGER Specify the rows of Z to which trans‐
	       formations must be applied if WANTZ is .TRUE..  1  <=  ILOZ  <=
	       ILO; IHI <= IHIZ <= N.

       Z       (input/output) REAL array, dimension (LDZ,N)
	       If  WANTZ is .TRUE., on entry Z must contain the current matrix
	       Z of transformations accumulated by SHSEQR, and on exit	Z  has
	       been updated; transformations are applied only to the submatrix
	       Z(ILOZ:IHIZ,ILO:IHI).  If WANTZ is .FALSE.,  Z  is  not	refer‐
	       enced.

       LDZ     (input) INTEGER
	       The leading dimension of the array Z. LDZ >= max(1,N).

       INFO    (output) INTEGER
	       =   0: successful exit
	       eigenvalues  ILO	 to IHI in a total of 30 iterations per eigen‐
	       value; elements i+1:ihi of WR and WI contain those  eigenvalues
	       which  have  been  successfully	computed.   If INFO .GT. 0 and
	       WANTT is .FALSE., then on exit, the remaining  unconverged  ei‐
	       genvalues  are  the  eigenvalues of the upper Hessenberg matrix
	       rows and columns ILO thorugh INFO of the final, output value of
	       H.   If	INFO  .GT.  0  and  WANTT  is .TRUE., then on exit (*)
	       (initial value of H)*U  = U*(final value of H) where  U	is  an
	       orthognal  matrix.     The final value of H is upper Hessenberg
	       and triangular in rows and columns INFO+1 through IHI.  If INFO
	       .GT.  0 and WANTZ is .TRUE., then on exit (final value of Z)  =
	       (initial value of Z)*U where U is the orthogonal matrix in  (*)
	       (regardless of the value of WANTT.)

FURTHER DETAILS
	  02-96 Based on modifications by
	  David Day, Sandia National Laboratory, USA
	  12-04 Further modifications by
	  Ralph Byers, University of Kansas, USA
	  This is a modified version of SLAHQR from LAPACK version 3.0.
	  It is (1) more robust against overflow and underflow and
	  (2) adopts the more conservative Ahues & Tisseur stopping
	  criterion (LAWN 122, 1997).

 LAPACK auxiliary routine (versioNovember 2008			     SLAHQR(1)
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