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DSPGV(l)			       )			      DSPGV(l)

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

	   CHARACTER	 JOBZ, UPLO

	   INTEGER	 INFO, ITYPE, LDZ, N

	   DOUBLE	 PRECISION  AP(	 *  ),	BP( * ), W( * ), WORK( * ), Z(
			 LDZ, * )

PURPOSE
       DSPGV 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) 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.

       AP      (input/output) DOUBLE PRECISION array, dimension
	       (N*(N+1)/2) On entry, the upper or lower triangle of  the  sym‐
	       metric 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) DOUBLE PRECISION 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 factor‐
	       ization B = U**T*U or B = L*L**T, in the same storage format as
	       B.

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

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

       WORK    (workspace) DOUBLE PRECISION array, dimension (3*N)

       INFO    (output) INTEGER
	       = 0:  successful exit
	       < 0:  if INFO = -i, the i-th argument had an illegal value
	       > 0:  DPPTRF or DSPEV returned an error code:
	       <= N:  if INFO = i, DSPEV 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 version 3.0		 15 June 2000			      DSPGV(l)
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