ztbt06.f

Go to the documentation of this file.

      SUBROUTINE ZTBT06( RCOND, RCONDC, UPLO, DIAG, N, KD, AB, LDAB,
     $                   RWORK, RAT )
*
*  -- LAPACK test routine (version 3.1) --
*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
*     November 2006
*
*     .. Scalar Arguments ..
      CHARACTER          DIAG, UPLO
      INTEGER            KD, LDAB, N
      DOUBLE PRECISION   RAT, RCOND, RCONDC
*     ..
*     .. Array Arguments ..
      DOUBLE PRECISION   RWORK( * )
      COMPLEX*16         AB( LDAB, * )
*     ..
*
*  Purpose
*  =======
*
*  ZTBT06 computes a test ratio comparing RCOND (the reciprocal
*  condition number of a triangular matrix A) and RCONDC, the estimate
*  computed by ZTBCON.  Information about the triangular matrix A is
*  used if one estimate is zero and the other is non-zero to decide if
*  underflow in the estimate is justified.
*
*  Arguments
*  =========
*
*  RCOND   (input) DOUBLE PRECISION
*          The estimate of the reciprocal condition number obtained by
*          forming the explicit inverse of the matrix A and computing
*          RCOND = 1/( norm(A) * norm(inv(A)) ).
*
*  RCONDC  (input) DOUBLE PRECISION
*          The estimate of the reciprocal condition number computed by
*          ZTBCON.
*
*  UPLO    (input) CHARACTER
*          Specifies whether the matrix A is upper or lower triangular.
*          = 'U':  Upper triangular
*          = 'L':  Lower triangular
*
*  DIAG    (input) CHARACTER
*          Specifies whether or not the matrix A is unit triangular.
*          = 'N':  Non-unit triangular
*          = 'U':  Unit triangular
*
*  N       (input) INTEGER
*          The order of the matrix A.  N >= 0.
*
*  KD      (input) INTEGER
*          The number of superdiagonals or subdiagonals of the
*          triangular band matrix A.  KD >= 0.
*
*  AB      (input) COMPLEX*16 array, dimension (LDAB,N)
*          The upper or lower triangular band matrix A, stored in the
*          first kd+1 rows of the array. The j-th column of A is stored
*          in the j-th column of the array AB as follows:
*          if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
*          if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).
*
*  LDAB    (input) INTEGER
*          The leading dimension of the array AB.  LDAB >= KD+1.
*
*  RWORK   (workspace) DOUBLE PRECISION array, dimension (N)
*
*  RAT     (output) DOUBLE PRECISION
*          The test ratio.  If both RCOND and RCONDC are nonzero,
*             RAT = MAX( RCOND, RCONDC )/MIN( RCOND, RCONDC ) - 1.
*          If RAT = 0, the two estimates are exactly the same.
*
*  =====================================================================
*
*     .. Parameters ..
      DOUBLE PRECISION   ZERO, ONE
      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
*     ..
*     .. Local Scalars ..
      DOUBLE PRECISION   ANORM, BIGNUM, EPS, RMAX, RMIN
*     ..
*     .. External Functions ..
      DOUBLE PRECISION   DLAMCH, ZLANTB
      EXTERNAL           DLAMCH, ZLANTB
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          MAX, MIN
*     ..
*     .. Executable Statements ..
*
      EPS = DLAMCH( 'Epsilon' )
      RMAX = MAX( RCOND, RCONDC )
      RMIN = MIN( RCOND, RCONDC )
*
*     Do the easy cases first.
*
      IF( RMIN.LT.ZERO ) THEN
*
*        Invalid value for RCOND or RCONDC, return 1/EPS.
*
         RAT = ONE / EPS
*
      ELSE IF( RMIN.GT.ZERO ) THEN
*
*        Both estimates are positive, return RMAX/RMIN - 1.
*
         RAT = RMAX / RMIN - ONE
*
      ELSE IF( RMAX.EQ.ZERO ) THEN
*
*        Both estimates zero.
*
         RAT = ZERO
*
      ELSE
*
*        One estimate is zero, the other is non-zero.  If the matrix is
*        ill-conditioned, return the nonzero estimate multiplied by
*        1/EPS; if the matrix is badly scaled, return the nonzero
*        estimate multiplied by BIGNUM/TMAX, where TMAX is the maximum
*        element in absolute value in A.
*
         BIGNUM = ONE / DLAMCH( 'Safe minimum' )
         ANORM = ZLANTB( 'M', UPLO, DIAG, N, KD, AB, LDAB, RWORK )
*
         RAT = RMAX*( MIN( BIGNUM / MAX( ONE, ANORM ), ONE / EPS ) )
      END IF
*
      RETURN
*
*     End of ZTBT06
*
      END