zlavsp.f

来自「famous linear algebra library (LAPACK) p」· F 代码 · 共 507 行 · 第 1/2 页

      SUBROUTINE ZLAVSP( UPLO, TRANS, DIAG, N, NRHS, A, IPIV, B, LDB,
     $                   INFO )
*
*  -- LAPACK auxiliary routine (version 3.1) --
*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
*     November 2006
*
*     .. Scalar Arguments ..
      CHARACTER          DIAG, TRANS, UPLO
      INTEGER            INFO, LDB, N, NRHS
*     ..
*     .. Array Arguments ..
      INTEGER            IPIV( * )
      COMPLEX*16         A( * ), B( LDB, * )
*     ..
*
*  Purpose
*  =======
*
*     ZLAVSP  performs one of the matrix-vector operations
*        x := A*x  or  x := A^T*x,
*     where x is an N element vector and  A is one of the factors
*     from the symmetric factorization computed by ZSPTRF.
*     ZSPTRF produces a factorization of the form
*          U * D * U^T     or     L * D * L^T,
*     where U (or L) is a product of permutation and unit upper (lower)
*     triangular matrices, U^T (or L^T) is the transpose of
*     U (or L), and D is symmetric and block diagonal with 1 x 1 and
*     2 x 2 diagonal blocks.  The multipliers for the transformations
*     and the upper or lower triangular parts of the diagonal blocks
*     are stored columnwise in packed format in the linear array A.
*
*     If TRANS = 'N' or 'n', ZLAVSP multiplies either by U or U * D
*     (or L or L * D).
*     If TRANS = 'C' or 'c', ZLAVSP multiplies either by U^T or D * U^T
*     (or L^T or D * L^T ).
*
*  Arguments
*  ==========
*
*  UPLO   - CHARACTER*1
*           On entry, UPLO specifies whether the triangular matrix
*           stored in A is upper or lower triangular.
*              UPLO = 'U' or 'u'   The matrix is upper triangular.
*              UPLO = 'L' or 'l'   The matrix is lower triangular.
*           Unchanged on exit.
*
*  TRANS  - CHARACTER*1
*           On entry, TRANS specifies the operation to be performed as
*           follows:
*              TRANS = 'N' or 'n'   x := A*x.
*              TRANS = 'T' or 't'   x := A^T*x.
*           Unchanged on exit.
*
*  DIAG   - CHARACTER*1
*           On entry, DIAG specifies whether the diagonal blocks are
*           assumed to be unit matrices, as follows:
*              DIAG = 'U' or 'u'   Diagonal blocks are unit matrices.
*              DIAG = 'N' or 'n'   Diagonal blocks are non-unit.
*           Unchanged on exit.
*
*  N      - INTEGER
*           On entry, N specifies the order of the matrix A.
*           N must be at least zero.
*           Unchanged on exit.
*
*  NRHS   - INTEGER
*           On entry, NRHS specifies the number of right hand sides,
*           i.e., the number of vectors x to be multiplied by A.
*           NRHS must be at least zero.
*           Unchanged on exit.
*
*  A      - COMPLEX*16 array, dimension( N*(N+1)/2 )
*           On entry, A contains a block diagonal matrix and the
*           multipliers of the transformations used to obtain it,
*           stored as a packed triangular matrix.
*           Unchanged on exit.
*
*  IPIV   - INTEGER array, dimension( N )
*           On entry, IPIV contains the vector of pivot indices as
*           determined by ZSPTRF.
*           If IPIV( K ) = K, no interchange was done.
*           If IPIV( K ) <> K but IPIV( K ) > 0, then row K was inter-
*           changed with row IPIV( K ) and a 1 x 1 pivot block was used.
*           If IPIV( K ) < 0 and UPLO = 'U', then row K-1 was exchanged
*           with row | IPIV( K ) | and a 2 x 2 pivot block was used.
*           If IPIV( K ) < 0 and UPLO = 'L', then row K+1 was exchanged
*           with row | IPIV( K ) | and a 2 x 2 pivot block was used.
*
*  B      - COMPLEX*16 array, dimension( LDB, NRHS )
*           On entry, B contains NRHS vectors of length N.
*           On exit, B is overwritten with the product A * B.
*
*  LDB    - INTEGER
*           On entry, LDB contains the leading dimension of B as
*           declared in the calling program.  LDB must be at least
*           max( 1, N ).
*           Unchanged on exit.
*
*  INFO   - INTEGER
*           INFO is the error flag.
*           On exit, a value of 0 indicates a successful exit.
*           A negative value, say -K, indicates that the K-th argument
*           has an illegal value.
*
*  =====================================================================
*
*     .. Parameters ..
      COMPLEX*16         ONE
      PARAMETER          ( ONE = ( 1.0D+0, 0.0D+0 ) )
*     ..
*     .. Local Scalars ..
      LOGICAL            NOUNIT
      INTEGER            J, K, KC, KCNEXT, KP
      COMPLEX*16         D11, D12, D21, D22, T1, T2
*     ..
*     .. External Functions ..
      LOGICAL            LSAME
      EXTERNAL           LSAME
*     ..
*     .. External Subroutines ..
      EXTERNAL           XERBLA, ZGEMV, ZGERU, ZSCAL, ZSWAP
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          ABS, MAX
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters.
*
      INFO = 0
      IF( .NOT.LSAME( UPLO, 'U' ) .AND. .NOT.LSAME( UPLO, 'L' ) ) THEN
         INFO = -1
      ELSE IF( .NOT.LSAME( TRANS, 'N' ) .AND. .NOT.LSAME( TRANS, 'T' ) )
     $          THEN
         INFO = -2
      ELSE IF( .NOT.LSAME( DIAG, 'U' ) .AND. .NOT.LSAME( DIAG, 'N' ) )
     $          THEN
         INFO = -3
      ELSE IF( N.LT.0 ) THEN
         INFO = -4
      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
         INFO = -8
      END IF
      IF( INFO.NE.0 ) THEN
         CALL XERBLA( 'ZLAVSP ', -INFO )
         RETURN
      END IF
*
*     Quick return if possible.
*
      IF( N.EQ.0 )
     $   RETURN
*
      NOUNIT = LSAME( DIAG, 'N' )
*------------------------------------------
*
*     Compute  B := A * B  (No transpose)
*
*------------------------------------------
      IF( LSAME( TRANS, 'N' ) ) THEN
*
*        Compute  B := U*B
*        where U = P(m)*inv(U(m))* ... *P(1)*inv(U(1))
*
         IF( LSAME( UPLO, 'U' ) ) THEN
*
*        Loop forward applying the transformations.
*
            K = 1
            KC = 1
   10       CONTINUE
            IF( K.GT.N )
     $         GO TO 30
*
*           1 x 1 pivot block
*
            IF( IPIV( K ).GT.0 ) THEN
*
*              Multiply by the diagonal element if forming U * D.
*
               IF( NOUNIT )
     $            CALL ZSCAL( NRHS, A( KC+K-1 ), B( K, 1 ), LDB )
*
*              Multiply by P(K) * inv(U(K))  if K > 1.
*
               IF( K.GT.1 ) THEN
*
*                 Apply the transformation.
*
                  CALL ZGERU( K-1, NRHS, ONE, A( KC ), 1, B( K, 1 ),
     $                        LDB, B( 1, 1 ), LDB )
*
*                 Interchange if P(K) != I.
*
                  KP = IPIV( K )
                  IF( KP.NE.K )
     $               CALL ZSWAP( NRHS, B( K, 1 ), LDB, B( KP, 1 ), LDB )
               END IF
               KC = KC + K
               K = K + 1
            ELSE
*
*              2 x 2 pivot block
*
               KCNEXT = KC + K
*
*              Multiply by the diagonal block if forming U * D.
*
               IF( NOUNIT ) THEN
                  D11 = A( KCNEXT-1 )
                  D22 = A( KCNEXT+K )
                  D12 = A( KCNEXT+K-1 )
                  D21 = D12
                  DO 20 J = 1, NRHS
                     T1 = B( K, J )
                     T2 = B( K+1, J )
                     B( K, J ) = D11*T1 + D12*T2
                     B( K+1, J ) = D21*T1 + D22*T2
   20             CONTINUE
               END IF
*
*              Multiply by  P(K) * inv(U(K))  if K > 1.
*
               IF( K.GT.1 ) THEN
*
*                 Apply the transformations.
*
                  CALL ZGERU( K-1, NRHS, ONE, A( KC ), 1, B( K, 1 ),
     $                        LDB, B( 1, 1 ), LDB )
                  CALL ZGERU( K-1, NRHS, ONE, A( KCNEXT ), 1,
     $                        B( K+1, 1 ), LDB, B( 1, 1 ), LDB )
*
*                 Interchange if P(K) != I.
*
                  KP = ABS( IPIV( K ) )
                  IF( KP.NE.K )
     $               CALL ZSWAP( NRHS, B( K, 1 ), LDB, B( KP, 1 ), LDB )
               END IF
               KC = KCNEXT + K + 1
               K = K + 2
            END IF
            GO TO 10
   30       CONTINUE
*
*        Compute  B := L*B
*        where L = P(1)*inv(L(1))* ... *P(m)*inv(L(m)) .
*
         ELSE
*
*           Loop backward applying the transformations to B.
*
            K = N
            KC = N*( N+1 ) / 2 + 1