csytri()

subroutine csytri	(	character	uplo,
		integer	n,
		complex, dimension( lda, * )	a,
		integer	lda,
		integer, dimension( * )	ipiv,
		complex, dimension( * )	work,
		integer	info )

CSYTRI

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Purpose:

!>
!> CSYTRI computes the inverse of a complex symmetric indefinite matrix
!> A using the factorization A = U*D*U**T or A = L*D*L**T computed by
!> CSYTRF.
!> 

Parameters

[in]	UPLO	!> UPLO is CHARACTER*1 !> Specifies whether the details of the factorization are stored !> as an upper or lower triangular matrix. !> = 'U': Upper triangular, form is A = U*D*U**T; !> = 'L': Lower triangular, form is A = L*D*L**T. !>
[in]	N	!> N is INTEGER !> The order of the matrix A. N >= 0. !>
[in,out]	A	!> A is COMPLEX array, dimension (LDA,N) !> On entry, the block diagonal matrix D and the multipliers !> used to obtain the factor U or L as computed by CSYTRF. !> !> On exit, if INFO = 0, the (symmetric) inverse of the original !> matrix. If UPLO = 'U', the upper triangular part of the !> inverse is formed and the part of A below the diagonal is not !> referenced; if UPLO = 'L' the lower triangular part of the !> inverse is formed and the part of A above the diagonal is !> not referenced. !>
[in]	LDA	!> LDA is INTEGER !> The leading dimension of the array A. LDA >= max(1,N). !>
[in]	IPIV	!> IPIV is INTEGER array, dimension (N) !> Details of the interchanges and the block structure of D !> as determined by CSYTRF. !>
[out]	WORK	!> WORK is COMPLEX array, dimension (2*N) !>
[out]	INFO	!> INFO is INTEGER !> = 0: successful exit !> < 0: if INFO = -i, the i-th argument had an illegal value !> > 0: if INFO = i, D(i,i) = 0; the matrix is singular and its !> inverse could not be computed. !>

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Definition at line 111 of file csytri.f.

*
*  -- 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, LDA, N
*     ..
*     .. Array Arguments ..
      INTEGER            IPIV( * )
      COMPLEX            A( LDA, * ), WORK( * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      COMPLEX            ONE, ZERO
      parameter( one = ( 1.0e+0, 0.0e+0 ),
     $                   zero = ( 0.0e+0, 0.0e+0 ) )
*     ..
*     .. Local Scalars ..
      LOGICAL            UPPER
      INTEGER            K, KP, KSTEP
      COMPLEX            AK, AKKP1, AKP1, D, T, TEMP
*     ..
*     .. External Functions ..
      LOGICAL            LSAME
      COMPLEX            CDOTU
      EXTERNAL           lsame, cdotu
*     ..
*     .. External Subroutines ..
      EXTERNAL           ccopy, cswap, csymv, xerbla
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          abs, max
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters.
*
      info = 0
      upper = lsame( uplo, 'U' )
      IF( .NOT.upper .AND. .NOT.lsame( uplo, 'L' ) ) THEN
         info = -1
      ELSE IF( n.LT.0 ) THEN
         info = -2
      ELSE IF( lda.LT.max( 1, n ) ) THEN
         info = -4
      END IF
      IF( info.NE.0 ) THEN
         CALL xerbla( 'CSYTRI', -info )
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( n.EQ.0 )
     $   RETURN
*
*     Check that the diagonal matrix D is nonsingular.
*
      IF( upper ) THEN
*
*        Upper triangular storage: examine D from bottom to top
*
         DO 10 info = n, 1, -1
            IF( ipiv( info ).GT.0 .AND. a( info, info ).EQ.zero )
     $         RETURN
   10    CONTINUE
      ELSE
*
*        Lower triangular storage: examine D from top to bottom.
*
         DO 20 info = 1, n
            IF( ipiv( info ).GT.0 .AND. a( info, info ).EQ.zero )
     $         RETURN
   20    CONTINUE
      END IF
      info = 0
*
      IF( upper ) THEN
*
*        Compute inv(A) from the factorization A = U*D*U**T.
*
*        K is the main loop index, increasing from 1 to N in steps of
*        1 or 2, depending on the size of the diagonal blocks.
*
         k = 1
   30    CONTINUE
*
*        If K > N, exit from loop.
*
         IF( k.GT.n )
     $      GO TO 40
*
         IF( ipiv( k ).GT.0 ) THEN
*
*           1 x 1 diagonal block
*
*           Invert the diagonal block.
*
            a( k, k ) = one / a( k, k )
*
*           Compute column K of the inverse.
*
            IF( k.GT.1 ) THEN
               CALL ccopy( k-1, a( 1, k ), 1, work, 1 )
               CALL csymv( uplo, k-1, -one, a, lda, work, 1, zero,
     $                     a( 1, k ), 1 )
               a( k, k ) = a( k, k ) - cdotu( k-1, work, 1, a( 1,
     $            k ),
     $                     1 )
            END IF
            kstep = 1
         ELSE
*
*           2 x 2 diagonal block
*
*           Invert the diagonal block.
*
            t = a( k, k+1 )
            ak = a( k, k ) / t
            akp1 = a( k+1, k+1 ) / t
            akkp1 = a( k, k+1 ) / t
            d = t*( ak*akp1-one )
            a( k, k ) = akp1 / d
            a( k+1, k+1 ) = ak / d
            a( k, k+1 ) = -akkp1 / d
*
*           Compute columns K and K+1 of the inverse.
*
            IF( k.GT.1 ) THEN
               CALL ccopy( k-1, a( 1, k ), 1, work, 1 )
               CALL csymv( uplo, k-1, -one, a, lda, work, 1, zero,
     $                     a( 1, k ), 1 )
               a( k, k ) = a( k, k ) - cdotu( k-1, work, 1, a( 1,
     $            k ),
     $                     1 )
               a( k, k+1 ) = a( k, k+1 ) -
     $                       cdotu( k-1, a( 1, k ), 1, a( 1, k+1 ),
     $                              1 )
               CALL ccopy( k-1, a( 1, k+1 ), 1, work, 1 )
               CALL csymv( uplo, k-1, -one, a, lda, work, 1, zero,
     $                     a( 1, k+1 ), 1 )
               a( k+1, k+1 ) = a( k+1, k+1 ) -
     $                         cdotu( k-1, work, 1, a( 1, k+1 ), 1 )
            END IF
            kstep = 2
         END IF
*
         kp = abs( ipiv( k ) )
         IF( kp.NE.k ) THEN
*
*           Interchange rows and columns K and KP in the leading
*           submatrix A(1:k+1,1:k+1)
*
            CALL cswap( kp-1, a( 1, k ), 1, a( 1, kp ), 1 )
            CALL cswap( k-kp-1, a( kp+1, k ), 1, a( kp, kp+1 ), lda )
            temp = a( k, k )
            a( k, k ) = a( kp, kp )
            a( kp, kp ) = temp
            IF( kstep.EQ.2 ) THEN
               temp = a( k, k+1 )
               a( k, k+1 ) = a( kp, k+1 )
               a( kp, k+1 ) = temp
            END IF
         END IF
*
         k = k + kstep
         GO TO 30
   40    CONTINUE
*
      ELSE
*
*        Compute inv(A) from the factorization A = L*D*L**T.
*
*        K is the main loop index, increasing from 1 to N in steps of
*        1 or 2, depending on the size of the diagonal blocks.
*
         k = n
   50    CONTINUE
*
*        If K < 1, exit from loop.
*
         IF( k.LT.1 )
     $      GO TO 60
*
         IF( ipiv( k ).GT.0 ) THEN
*
*           1 x 1 diagonal block
*
*           Invert the diagonal block.
*
            a( k, k ) = one / a( k, k )
*
*           Compute column K of the inverse.
*
            IF( k.LT.n ) THEN
               CALL ccopy( n-k, a( k+1, k ), 1, work, 1 )
               CALL csymv( uplo, n-k, -one, a( k+1, k+1 ), lda, work,
     $                     1,
     $                     zero, a( k+1, k ), 1 )
               a( k, k ) = a( k, k ) - cdotu( n-k, work, 1, a( k+1,
     $            k ),
     $                     1 )
            END IF
            kstep = 1
         ELSE
*
*           2 x 2 diagonal block
*
*           Invert the diagonal block.
*
            t = a( k, k-1 )
            ak = a( k-1, k-1 ) / t
            akp1 = a( k, k ) / t
            akkp1 = a( k, k-1 ) / t
            d = t*( ak*akp1-one )
            a( k-1, k-1 ) = akp1 / d
            a( k, k ) = ak / d
            a( k, k-1 ) = -akkp1 / d
*
*           Compute columns K-1 and K of the inverse.
*
            IF( k.LT.n ) THEN
               CALL ccopy( n-k, a( k+1, k ), 1, work, 1 )
               CALL csymv( uplo, n-k, -one, a( k+1, k+1 ), lda, work,
     $                     1,
     $                     zero, a( k+1, k ), 1 )
               a( k, k ) = a( k, k ) - cdotu( n-k, work, 1, a( k+1,
     $            k ),
     $                     1 )
               a( k, k-1 ) = a( k, k-1 ) -
     $                       cdotu( n-k, a( k+1, k ), 1, a( k+1,
     $                              k-1 ),
     $                       1 )
               CALL ccopy( n-k, a( k+1, k-1 ), 1, work, 1 )
               CALL csymv( uplo, n-k, -one, a( k+1, k+1 ), lda, work,
     $                     1,
     $                     zero, a( k+1, k-1 ), 1 )
               a( k-1, k-1 ) = a( k-1, k-1 ) -
     $                         cdotu( n-k, work, 1, a( k+1, k-1 ),
     $                                1 )
            END IF
            kstep = 2
         END IF
*
         kp = abs( ipiv( k ) )
         IF( kp.NE.k ) THEN
*
*           Interchange rows and columns K and KP in the trailing
*           submatrix A(k-1:n,k-1:n)
*
            IF( kp.LT.n )
     $         CALL cswap( n-kp, a( kp+1, k ), 1, a( kp+1, kp ), 1 )
            CALL cswap( kp-k-1, a( k+1, k ), 1, a( kp, k+1 ), lda )
            temp = a( k, k )
            a( k, k ) = a( kp, kp )
            a( kp, kp ) = temp
            IF( kstep.EQ.2 ) THEN
               temp = a( k, k-1 )
               a( k, k-1 ) = a( kp, k-1 )
               a( kp, k-1 ) = temp
            END IF
         END IF
*
         k = k - kstep
         GO TO 50
   60    CONTINUE
      END IF
*
      RETURN
*
*     End of CSYTRI
*

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