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sspgv(3P)		    Sun Performance Library		     sspgv(3P)

NAME
       sspgv  -	 compute 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 SSPGV(ITYPE, JOBZ, UPLO, N, AP, BP, W, Z, LDZ, WORK, INFO)

       CHARACTER * 1 JOBZ, UPLO
       INTEGER ITYPE, N, LDZ, INFO
       REAL AP(*), BP(*), W(*), Z(LDZ,*), WORK(*)

       SUBROUTINE SSPGV_64(ITYPE, JOBZ, UPLO, N, AP, BP, W, Z, LDZ, WORK,
	     INFO)

       CHARACTER * 1 JOBZ, UPLO
       INTEGER*8 ITYPE, N, LDZ, INFO
       REAL AP(*), BP(*), W(*), Z(LDZ,*), WORK(*)

   F95 INTERFACE
       SUBROUTINE SPGV(ITYPE, JOBZ, UPLO, [N], AP, BP, W, Z, [LDZ], [WORK],
	      [INFO])

       CHARACTER(LEN=1) :: JOBZ, UPLO
       INTEGER :: ITYPE, N, LDZ, INFO
       REAL, DIMENSION(:) :: AP, BP, W, WORK
       REAL, DIMENSION(:,:) :: Z

       SUBROUTINE SPGV_64(ITYPE, JOBZ, UPLO, [N], AP, BP, W, Z, [LDZ], [WORK],
	      [INFO])

       CHARACTER(LEN=1) :: JOBZ, UPLO
       INTEGER(8) :: ITYPE, N, LDZ, INFO
       REAL, DIMENSION(:) :: AP, BP, W, WORK
       REAL, DIMENSION(:,:) :: Z

   C INTERFACE
       #include <sunperf.h>

       void  sspgv(int	itype,	char  jobz, char uplo, int n, float *ap, float
		 *bp, float *w, float *z, int ldz, int *info);

       void sspgv_64(long itype, char jobz, char  uplo,	 long  n,  float  *ap,
		 float *bp, float *w, float *z, long ldz, long *info);

PURPOSE
       sspgv 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, stored in packed format,  and  B  is  also
       positive definite.

ARGUMENTS
       ITYPE (input)
		 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)
		 = 'N':	 Compute eigenvalues only;
		 = 'V':	 Compute eigenvalues and eigenvectors.

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

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

       AP (input/output)
		 Real  array,  dimension  (N*(N+1)/2)  On  entry, the upper or
		 lower triangle of the symmetric matrix A,  packed  columnwise
		 in  a	linear	array.	 The j-th column of A is stored in the
		 array AP as follows: if UPLO  =  'U',	AP(i  +	 (j-1)*j/2)  =
		 A(i,j)	 for 1<=i<=j; if UPLO = 'L', AP(i + (j-1)*(2*n-j)/2) =
		 A(i,j) for j<=i<=n.

		 On exit, the contents of AP are destroyed.

       BP (input/output)
		 Real array, dimension (N*(N+1)/2)  On	entry,	the  upper  or
		 lower	triangle  of the symmetric matrix B, packed columnwise
		 in a linear array.  The j-th column of B  is  stored  in  the
		 array	BP  as	follows:  if  UPLO  = 'U', BP(i + (j-1)*j/2) =
		 B(i,j) for 1<=i<=j; if UPLO = 'L', BP(i + (j-1)*(2*n-j)/2)  =
		 B(i,j) for j<=i<=n.

		 On  exit, the triangular factor U or L from the Cholesky fac‐
		 torization B = U**T*U or B = L*L**T, in the same storage for‐
		 mat as B.

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

       Z (output)
		 Real array, dimension (LDZ, N) If JOBZ = 'V', then if INFO  =
		 0, Z 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 Z is
		 not referenced.

       LDZ (input)
		 The leading dimension of the array Z.	LDZ >= 1, and if  JOBZ
		 = 'V', LDZ >= max(1,N).

       WORK (workspace)
		 Real array, dimension(3*N)

       INFO (output)
		 = 0:  successful exit
		 < 0:  if INFO = -i, the i-th argument had an illegal value
		 > 0:  SPPTRF or SSPEV returned an error code:
		 <=  N:	 if INFO = i, SSPEV 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.

				  6 Mar 2009			     sspgv(3P)
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