LAPACK 3.3.0

ctbt06.f

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00001       SUBROUTINE CTBT06( RCOND, RCONDC, UPLO, DIAG, N, KD, AB, LDAB,
00002      $                   RWORK, RAT )
00003 *
00004 *  -- LAPACK test routine (version 3.1) --
00005 *     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
00006 *     November 2006
00007 *
00008 *     .. Scalar Arguments ..
00009       CHARACTER          DIAG, UPLO
00010       INTEGER            KD, LDAB, N
00011       REAL               RAT, RCOND, RCONDC
00012 *     ..
00013 *     .. Array Arguments ..
00014       REAL               RWORK( * )
00015       COMPLEX            AB( LDAB, * )
00016 *     ..
00017 *
00018 *  Purpose
00019 *  =======
00020 *
00021 *  CTBT06 computes a test ratio comparing RCOND (the reciprocal
00022 *  condition number of a triangular matrix A) and RCONDC, the estimate
00023 *  computed by CTBCON.  Information about the triangular matrix A is
00024 *  used if one estimate is zero and the other is non-zero to decide if
00025 *  underflow in the estimate is justified.
00026 *
00027 *  Arguments
00028 *  =========
00029 *
00030 *  RCOND   (input) REAL
00031 *          The estimate of the reciprocal condition number obtained by
00032 *          forming the explicit inverse of the matrix A and computing
00033 *          RCOND = 1/( norm(A) * norm(inv(A)) ).
00034 *
00035 *  RCONDC  (input) REAL
00036 *          The estimate of the reciprocal condition number computed by
00037 *          CTBCON.
00038 *
00039 *  UPLO    (input) CHARACTER
00040 *          Specifies whether the matrix A is upper or lower triangular.
00041 *          = 'U':  Upper triangular
00042 *          = 'L':  Lower triangular
00043 *
00044 *  DIAG    (input) CHARACTER
00045 *          Specifies whether or not the matrix A is unit triangular.
00046 *          = 'N':  Non-unit triangular
00047 *          = 'U':  Unit triangular
00048 *
00049 *  N       (input) INTEGER
00050 *          The order of the matrix A.  N >= 0.
00051 *
00052 *  KD      (input) INTEGER
00053 *          The number of superdiagonals or subdiagonals of the
00054 *          triangular band matrix A.  KD >= 0.
00055 *
00056 *  AB      (input) COMPLEX array, dimension (LDAB,N)
00057 *          The upper or lower triangular band matrix A, stored in the
00058 *          first kd+1 rows of the array. The j-th column of A is stored
00059 *          in the j-th column of the array AB as follows:
00060 *          if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
00061 *          if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).
00062 *
00063 *  LDAB    (input) INTEGER
00064 *          The leading dimension of the array AB.  LDAB >= KD+1.
00065 *
00066 *  RWORK   (workspace) REAL array, dimension (N)
00067 *
00068 *  RAT     (output) REAL
00069 *          The test ratio.  If both RCOND and RCONDC are nonzero,
00070 *             RAT = MAX( RCOND, RCONDC )/MIN( RCOND, RCONDC ) - 1.
00071 *          If RAT = 0, the two estimates are exactly the same.
00072 *
00073 *  =====================================================================
00074 *
00075 *     .. Parameters ..
00076       REAL               ZERO, ONE
00077       PARAMETER          ( ZERO = 0.0E+0, ONE = 1.0E+0 )
00078 *     ..
00079 *     .. Local Scalars ..
00080       REAL               ANORM, BIGNUM, EPS, RMAX, RMIN
00081 *     ..
00082 *     .. External Functions ..
00083       REAL               CLANTB, SLAMCH
00084       EXTERNAL           CLANTB, SLAMCH
00085 *     ..
00086 *     .. Intrinsic Functions ..
00087       INTRINSIC          MAX, MIN
00088 *     ..
00089 *     .. Executable Statements ..
00090 *
00091       EPS = SLAMCH( 'Epsilon' )
00092       RMAX = MAX( RCOND, RCONDC )
00093       RMIN = MIN( RCOND, RCONDC )
00094 *
00095 *     Do the easy cases first.
00096 *
00097       IF( RMIN.LT.ZERO ) THEN
00098 *
00099 *        Invalid value for RCOND or RCONDC, return 1/EPS.
00100 *
00101          RAT = ONE / EPS
00102 *
00103       ELSE IF( RMIN.GT.ZERO ) THEN
00104 *
00105 *        Both estimates are positive, return RMAX/RMIN - 1.
00106 *
00107          RAT = RMAX / RMIN - ONE
00108 *
00109       ELSE IF( RMAX.EQ.ZERO ) THEN
00110 *
00111 *        Both estimates zero.
00112 *
00113          RAT = ZERO
00114 *
00115       ELSE
00116 *
00117 *        One estimate is zero, the other is non-zero.  If the matrix is
00118 *        ill-conditioned, return the nonzero estimate multiplied by
00119 *        1/EPS; if the matrix is badly scaled, return the nonzero
00120 *        estimate multiplied by BIGNUM/TMAX, where TMAX is the maximum
00121 *        element in absolute value in A.
00122 *
00123          BIGNUM = ONE / SLAMCH( 'Safe minimum' )
00124          ANORM = CLANTB( 'M', UPLO, DIAG, N, KD, AB, LDAB, RWORK )
00125 *
00126          RAT = RMAX*( MIN( BIGNUM / MAX( ONE, ANORM ), ONE / EPS ) )
00127       END IF
00128 *
00129       RETURN
00130 *
00131 *     End of CTBT06
00132 *
00133       END
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