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SSYGV(1)	      LAPACK driver routine (version 3.2)	      SSYGV(1)

NAME
       SSYGV  - computes all the eigenvalues, and optionally, the eigenvectors
       of a real generalized  symmetric-definite  eigenproblem,	 of  the  form
       A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x

SYNOPSIS
       SUBROUTINE SSYGV( ITYPE, JOBZ, UPLO, N, A, LDA, B, LDB, W, WORK, LWORK,
			 INFO )

	   CHARACTER	 JOBZ, UPLO

	   INTEGER	 INFO, ITYPE, LDA, LDB, LWORK, N

	   REAL		 A( LDA, * ), B( LDB, * ), W( * ), WORK( * )

PURPOSE
       SSYGV computes all the eigenvalues, and optionally, the eigenvectors of
       a   real	 generalized  symmetric-definite  eigenproblem,	 of  the  form
       A*x=(lambda)*B*x,  A*Bx=(lambda)*x,  or B*A*x=(lambda)*x.  Here A and B
       are assumed to be symmetric and B is also
       positive definite.

ARGUMENTS
       ITYPE   (input) INTEGER
	       Specifies the problem type to be solved:
	       = 1:  A*x = (lambda)*B*x
	       = 2:  A*B*x = (lambda)*x
	       = 3:  B*A*x = (lambda)*x

       JOBZ    (input) CHARACTER*1
	       = 'N':  Compute eigenvalues only;
	       = 'V':  Compute eigenvalues and eigenvectors.

       UPLO    (input) CHARACTER*1
	       = 'U':  Upper triangles of A and B are stored;
	       = 'L':  Lower triangles of A and B are stored.

       N       (input) INTEGER
	       The order of the matrices A and B.  N >= 0.

       A       (input/output) REAL array, dimension (LDA, N)
	       On  entry,  the symmetric matrix A.  If UPLO = 'U', the leading
	       N-by-N upper triangular part of A contains the upper triangular
	       part  of the matrix A.  If UPLO = 'L', the leading N-by-N lower
	       triangular part of A contains the lower triangular part of  the
	       matrix A.  On exit, if JOBZ = 'V', then if INFO = 0, A contains
	       the matrix Z of eigenvectors.  The eigenvectors are  normalized
	       as  follows:  if	 ITYPE	=  1 or 2, Z**T*B*Z = I; if ITYPE = 3,
	       Z**T*inv(B)*Z = I.  If JOBZ = 'N', then on exit the upper  tri‐
	       angle  (if  UPLO='U') or the lower triangle (if UPLO='L') of A,
	       including the diagonal, is destroyed.

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

       B       (input/output) REAL array, dimension (LDB, N)
	       On entry, the symmetric positive definite matrix B.  If UPLO  =
	       'U', the leading N-by-N upper triangular part of B contains the
	       upper triangular part of the matrix B.	If  UPLO  =  'L',  the
	       leading	N-by-N	lower  triangular part of B contains the lower
	       triangular part of the matrix B.	 On exit, if INFO  <=  N,  the
	       part  of B containing the matrix is overwritten by the triangu‐
	       lar factor U or L from the Cholesky factorization B = U**T*U or
	       B = L*L**T.

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

       W       (output) REAL array, dimension (N)
	       If INFO = 0, the eigenvalues in ascending order.

       WORK    (workspace/output) REAL array, dimension (MAX(1,LWORK))
	       On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

       LWORK   (input) INTEGER
	       The  length  of	the  array  WORK.  LWORK >= max(1,3*N-1).  For
	       optimal efficiency, LWORK >= (NB+2)*N, where NB is  the	block‐
	       size  for  SSYTRD  returned  by	ILAENV.	 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) INTEGER
	       = 0:  successful exit
	       < 0:  if INFO = -i, the i-th argument had an illegal value
	       > 0:  SPOTRF or SSYEV returned an error code:
	       <=  N:	if  INFO = i, SSYEV failed to converge; i off-diagonal
	       elements of an intermediate tridiagonal form did	 not  converge
	       to  zero;  >  N:	   if  INFO = N + i, for 1 <= i <= N, then the
	       leading minor of order i of B is not  positive  definite.   The
	       factorization of B could not be completed and no eigenvalues or
	       eigenvectors were computed.

 LAPACK driver routine (version 3November 2008			      SSYGV(1)
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