dsygs2.f

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*> \brief \b DSYGS2 reduces a symmetric definite generalized eigenproblem to standard form, using the factorization results obtained from spotrf (unblocked algorithm).
*
*  =========== DOCUMENTATION ===========
*
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*            http://www.netlib.org/lapack/explore-html/
*
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*
*  Definition:
*  ===========
*
*       SUBROUTINE DSYGS2( ITYPE, UPLO, N, A, LDA, B, LDB, INFO )
*
*       .. Scalar Arguments ..
*       CHARACTER          UPLO
*       INTEGER            INFO, ITYPE, LDA, LDB, N
*       ..
*       .. Array Arguments ..
*       DOUBLE PRECISION   A( LDA, * ), B( LDB, * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> DSYGS2 reduces a real symmetric-definite generalized eigenproblem
*> to standard form.
*>
*> If ITYPE = 1, the problem is A*x = lambda*B*x,
*> and A is overwritten by inv(U**T)*A*inv(U) or inv(L)*A*inv(L**T)
*>
*> If ITYPE = 2 or 3, the problem is A*B*x = lambda*x or
*> B*A*x = lambda*x, and A is overwritten by U*A*U**T or L**T *A*L.
*>
*> B must have been previously factorized as U**T *U or L*L**T by DPOTRF.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] ITYPE
*> \verbatim
*>          ITYPE is INTEGER
*>          = 1: compute inv(U**T)*A*inv(U) or inv(L)*A*inv(L**T);
*>          = 2 or 3: compute U*A*U**T or L**T *A*L.
*> \endverbatim
*>
*> \param[in] UPLO
*> \verbatim
*>          UPLO is CHARACTER*1
*>          Specifies whether the upper or lower triangular part of the
*>          symmetric matrix A is stored, and how B has been factorized.
*>          = 'U':  Upper triangular
*>          = 'L':  Lower triangular
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The order of the matrices A and B.  N >= 0.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*>          A is DOUBLE PRECISION 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, and the strictly lower
*>          triangular part of A is not referenced.  If UPLO = 'L', the
*>          leading n by n lower triangular part of A contains the lower
*>          triangular part of the matrix A, and the strictly upper
*>          triangular part of A is not referenced.
*>
*>          On exit, if INFO = 0, the transformed matrix, stored in the
*>          same format as A.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*>          LDA is INTEGER
*>          The leading dimension of the array A.  LDA >= max(1,N).
*> \endverbatim
*>
*> \param[in] B
*> \verbatim
*>          B is DOUBLE PRECISION array, dimension (LDB,N)
*>          The triangular factor from the Cholesky factorization of B,
*>          as returned by DPOTRF.
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*>          LDB is INTEGER
*>          The leading dimension of the array B.  LDB >= max(1,N).
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*>          INFO is INTEGER
*>          = 0:  successful exit.
*>          < 0:  if INFO = -i, the i-th argument had an illegal value.
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup hegs2
*
*  =====================================================================
      SUBROUTINE dsygs2( ITYPE, UPLO, N, A, LDA, B, LDB, INFO )
*
*  -- LAPACK computational routine --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
*     .. Scalar Arguments ..
      CHARACTER          UPLO
      INTEGER            INFO, ITYPE, LDA, LDB, N
*     ..
*     .. Array Arguments ..
      DOUBLE PRECISION   A( LDA, * ), B( LDB, * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      DOUBLE PRECISION   ONE, HALF
      parameter( one = 1.0d0, half = 0.5d0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            UPPER
      INTEGER            K
      DOUBLE PRECISION   AKK, BKK, CT
*     ..
*     .. External Subroutines ..
      EXTERNAL           daxpy, dscal, dsyr2, dtrmv, dtrsv,
     $                   xerbla
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max
*     ..
*     .. External Functions ..
      LOGICAL            LSAME
      EXTERNAL           lsame
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters.
*
      info = 0
      upper = lsame( uplo, 'U' )
      IF( itype.LT.1 .OR. itype.GT.3 ) THEN
         info = -1
      ELSE IF( .NOT.upper .AND. .NOT.lsame( uplo, 'L' ) ) THEN
         info = -2
      ELSE IF( n.LT.0 ) THEN
         info = -3
      ELSE IF( lda.LT.max( 1, n ) ) THEN
         info = -5
      ELSE IF( ldb.LT.max( 1, n ) ) THEN
         info = -7
      END IF
      IF( info.NE.0 ) THEN
         CALL xerbla( 'DSYGS2', -info )
         RETURN
      END IF
*
      IF( itype.EQ.1 ) THEN
         IF( upper ) THEN
*
*           Compute inv(U**T)*A*inv(U)
*
            DO 10 k = 1, n
*
*              Update the upper triangle of A(k:n,k:n)
*
               akk = a( k, k )
               bkk = b( k, k )
               akk = akk / bkk**2
               a( k, k ) = akk
               IF( k.LT.n ) THEN
                  CALL dscal( n-k, one / bkk, a( k, k+1 ), lda )
                  ct = -half*akk
                  CALL daxpy( n-k, ct, b( k, k+1 ), ldb, a( k, k+1 ),
     $                        lda )
                  CALL dsyr2( uplo, n-k, -one, a( k, k+1 ), lda,
     $                        b( k, k+1 ), ldb, a( k+1, k+1 ), lda )
                  CALL daxpy( n-k, ct, b( k, k+1 ), ldb, a( k, k+1 ),
     $                        lda )
                  CALL dtrsv( uplo, 'Transpose', 'Non-unit', n-k,
     $                        b( k+1, k+1 ), ldb, a( k, k+1 ), lda )
               END IF
   10       CONTINUE
         ELSE
*
*           Compute inv(L)*A*inv(L**T)
*
            DO 20 k = 1, n
*
*              Update the lower triangle of A(k:n,k:n)
*
               akk = a( k, k )
               bkk = b( k, k )
               akk = akk / bkk**2
               a( k, k ) = akk
               IF( k.LT.n ) THEN
                  CALL dscal( n-k, one / bkk, a( k+1, k ), 1 )
                  ct = -half*akk
                  CALL daxpy( n-k, ct, b( k+1, k ), 1, a( k+1, k ),
     $                        1 )
                  CALL dsyr2( uplo, n-k, -one, a( k+1, k ), 1,
     $                        b( k+1, k ), 1, a( k+1, k+1 ), lda )
                  CALL daxpy( n-k, ct, b( k+1, k ), 1, a( k+1, k ),
     $                        1 )
                  CALL dtrsv( uplo, 'No transpose', 'Non-unit', n-k,
     $                        b( k+1, k+1 ), ldb, a( k+1, k ), 1 )
               END IF
   20       CONTINUE
         END IF
      ELSE
         IF( upper ) THEN
*
*           Compute U*A*U**T
*
            DO 30 k = 1, n
*
*              Update the upper triangle of A(1:k,1:k)
*
               akk = a( k, k )
               bkk = b( k, k )
               CALL dtrmv( uplo, 'No transpose', 'Non-unit', k-1, b,
     $                     ldb, a( 1, k ), 1 )
               ct = half*akk
               CALL daxpy( k-1, ct, b( 1, k ), 1, a( 1, k ), 1 )
               CALL dsyr2( uplo, k-1, one, a( 1, k ), 1, b( 1, k ),
     $                     1,
     $                     a, lda )
               CALL daxpy( k-1, ct, b( 1, k ), 1, a( 1, k ), 1 )
               CALL dscal( k-1, bkk, a( 1, k ), 1 )
               a( k, k ) = akk*bkk**2
   30       CONTINUE
         ELSE
*
*           Compute L**T *A*L
*
            DO 40 k = 1, n
*
*              Update the lower triangle of A(1:k,1:k)
*
               akk = a( k, k )
               bkk = b( k, k )
               CALL dtrmv( uplo, 'Transpose', 'Non-unit', k-1, b,
     $                     ldb,
     $                     a( k, 1 ), lda )
               ct = half*akk
               CALL daxpy( k-1, ct, b( k, 1 ), ldb, a( k, 1 ), lda )
               CALL dsyr2( uplo, k-1, one, a( k, 1 ), lda, b( k, 1 ),
     $                     ldb, a, lda )
               CALL daxpy( k-1, ct, b( k, 1 ), ldb, a( k, 1 ), lda )
               CALL dscal( k-1, bkk, a( k, 1 ), lda )
               a( k, k ) = akk*bkk**2
   40       CONTINUE
         END IF
      END IF
      RETURN
*
*     End of DSYGS2
*
      END