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shseqr(3P)		    Sun Performance Library		    shseqr(3P)

NAME
       shseqr  -  compute  the eigenvalues of a real upper Hessenberg matrix H
       and, optionally, the matrices T and Z from the Schur decomposition H  =
       Z T Z**T, where T is an upper quasi-triangular matrix (the Schur form),
       and Z is the orthogonal matrix of Schur vectors

SYNOPSIS
       SUBROUTINE SHSEQR(JOB, COMPZ, N, ILO, IHI, H, LDH, WR, WI, Z, LDZ,
	     WORK, LWORK, INFO)

       CHARACTER * 1 JOB, COMPZ
       INTEGER N, ILO, IHI, LDH, LDZ, LWORK, INFO
       REAL H(LDH,*), WR(*), WI(*), Z(LDZ,*), WORK(*)

       SUBROUTINE SHSEQR_64(JOB, COMPZ, N, ILO, IHI, H, LDH, WR, WI, Z, LDZ,
	     WORK, LWORK, INFO)

       CHARACTER * 1 JOB, COMPZ
       INTEGER*8 N, ILO, IHI, LDH, LDZ, LWORK, INFO
       REAL H(LDH,*), WR(*), WI(*), Z(LDZ,*), WORK(*)

   F95 INTERFACE
       SUBROUTINE HSEQR(JOB, COMPZ, N, ILO, IHI, H, [LDH], WR, WI, Z, [LDZ],
	      [WORK], [LWORK], [INFO])

       CHARACTER(LEN=1) :: JOB, COMPZ
       INTEGER :: N, ILO, IHI, LDH, LDZ, LWORK, INFO
       REAL, DIMENSION(:) :: WR, WI, WORK
       REAL, DIMENSION(:,:) :: H, Z

       SUBROUTINE HSEQR_64(JOB, COMPZ, N, ILO, IHI, H, [LDH], WR, WI, Z,
	      [LDZ], [WORK], [LWORK], [INFO])

       CHARACTER(LEN=1) :: JOB, COMPZ
       INTEGER(8) :: N, ILO, IHI, LDH, LDZ, LWORK, INFO
       REAL, DIMENSION(:) :: WR, WI, WORK
       REAL, DIMENSION(:,:) :: H, Z

   C INTERFACE
       #include <sunperf.h>

       void shseqr(char job, char compz, int n, int ilo, int  ihi,  float  *h,
		 int ldh, float *wr, float *wi, float *z, int ldz, int *info);

       void  shseqr_64(char job, char compz, long n, long ilo, long ihi, float
		 *h, long ldh, float *wr, float *wi, float *z, long ldz,  long
		 *info);

PURPOSE
       shseqr  computes	 the  eigenvalues  of a real upper Hessenberg matrix H
       and, optionally, the matrices T and Z from the Schur decomposition H  =
       Z T Z**T, where T is an upper quasi-triangular matrix (the Schur form),
       and Z is the orthogonal matrix of Schur vectors.

       Optionally Z may be postmultiplied into an input orthogonal  matrix  Q,
       so  that	 this  routine	can give the Schur factorization of a matrix A
       which has been reduced to the  Hessenberg  form	H  by  the  orthogonal
       matrix Q:  A = Q*H*Q**T = (QZ)*T*(QZ)**T.

ARGUMENTS
       JOB (input)
		 = 'E':	 compute eigenvalues only;
		 = 'S':	 compute eigenvalues and the Schur form T.

       COMPZ (input)
		 = 'N':	 no Schur vectors are computed;
		 =  'I':  Z is initialized to the unit matrix and the matrix Z
		 of Schur vectors of H is returned; = 'V':  Z must contain  an
		 orthogonal  matrix  Q	on  entry,  and	 the  product  Q*Z  is
		 returned.

       N (input) The order of the matrix H.  N >= 0.

       ILO (input)
		 It is assumed that H is already upper triangular in rows  and
		 columns  1:ILO-1 and IHI+1:N. ILO and IHI are normally set by
		 a previous call to SGEBAL, and then passed to SGEHRD when the
		 matrix output by SGEBAL is reduced to Hessenberg form. Other‐
		 wise ILO and IHI should be set to 1 and N respectively.  1 <=
		 ILO <= IHI <= N, if N > 0; ILO=1 and IHI=0, if N=0.

       IHI (input)
		 See the description of ILO.

       H (input/output)
		 On  entry,  the upper Hessenberg matrix H.  On exit, if JOB =
		 'S', H contains the upper quasi-triangular matrix T from  the
		 Schur	decomposition (the Schur form); 2-by-2 diagonal blocks
		 (corresponding to complex conjugate pairs of eigenvalues) are
		 returned  in  standard	 form,	with  H(i,i)  = H(i+1,i+1) and
		 H(i+1,i)*H(i,i+1) < 0. If JOB = 'E', the contents  of	H  are
		 unspecified on exit.

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

       WR (output)
		 The  real  and imaginary parts, respectively, of the computed
		 eigenvalues. 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  JOB	 = 'S', 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 diago‐
		 nal block, WI(i)  =  sqrt(H(i+1,i)*H(i,i+1))  and  WI(i+1)  =
		 -WI(i).

       WI (output)
		 See the description of WR.

       Z (input) If COMPZ = 'N': Z is not referenced.
		 If  COMPZ  = 'I': on entry, Z need not be set, and on exit, Z
		 contains the orthogonal matrix Z of the Schur vectors	of  H.
		 If  COMPZ  = 'V': on entry Z must contain an N-by-N matrix Q,
		 which is assumed to be equal to the unit  matrix  except  for
		 the  submatrix	 Z(ILO:IHI,ILO:IHI);  on  exit Z contains Q*Z.
		 Normally Q is the orthogonal matrix generated by SORGHR after
		 the call to SGEHRD which formed the Hessenberg matrix H.

       LDZ (input)
		 The  leading  dimension  of  the array Z.  LDZ >= max(1,N) if
		 COMPZ = 'I' or 'V'; LDZ >= 1 otherwise.

       WORK (workspace)
		 On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

       LWORK (input)
		 The dimension of the array WORK.  LWORK >= max(1,N).

		 If LWORK = -1, then a workspace query is assumed; the routine
		 only  calculates  the optimal size of the WORK array, returns
		 this value as the first entry of the WORK array, and no error
		 message related to LWORK is issued by XERBLA.

       INFO (output)
		 = 0:  successful exit
		 < 0:  if INFO = -i, the i-th argument had an illegal value
		 > 0:  if INFO = i, SHSEQR failed to compute all of the eigen‐
		 values in a  total  of	 30*(IHI-ILO+1)	 iterations;  elements
		 1:ilo-1  and  i+1:n  of  WR  and WI contain those eigenvalues
		 which have been successfully computed.

				  6 Mar 2009			    shseqr(3P)
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