File:  [local] / rpl / lapack / lapack / dlange.f
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Sat Aug 7 13:22:18 2010 UTC (13 years, 9 months ago) by bertrand
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CVS tags: HEAD
Mise à jour globale de Lapack 3.2.2.

    1:       DOUBLE PRECISION FUNCTION DLANGE( NORM, M, N, A, LDA, WORK )
    2: *
    3: *  -- LAPACK auxiliary routine (version 3.2) --
    4: *  -- LAPACK is a software package provided by Univ. of Tennessee,    --
    5: *  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
    6: *     November 2006
    7: *
    8: *     .. Scalar Arguments ..
    9:       CHARACTER          NORM
   10:       INTEGER            LDA, M, N
   11: *     ..
   12: *     .. Array Arguments ..
   13:       DOUBLE PRECISION   A( LDA, * ), WORK( * )
   14: *     ..
   15: *
   16: *  Purpose
   17: *  =======
   18: *
   19: *  DLANGE  returns the value of the one norm,  or the Frobenius norm, or
   20: *  the  infinity norm,  or the  element of  largest absolute value  of a
   21: *  real matrix A.
   22: *
   23: *  Description
   24: *  ===========
   25: *
   26: *  DLANGE returns the value
   27: *
   28: *     DLANGE = ( max(abs(A(i,j))), NORM = 'M' or 'm'
   29: *              (
   30: *              ( norm1(A),         NORM = '1', 'O' or 'o'
   31: *              (
   32: *              ( normI(A),         NORM = 'I' or 'i'
   33: *              (
   34: *              ( normF(A),         NORM = 'F', 'f', 'E' or 'e'
   35: *
   36: *  where  norm1  denotes the  one norm of a matrix (maximum column sum),
   37: *  normI  denotes the  infinity norm  of a matrix  (maximum row sum) and
   38: *  normF  denotes the  Frobenius norm of a matrix (square root of sum of
   39: *  squares).  Note that  max(abs(A(i,j)))  is not a consistent matrix norm.
   40: *
   41: *  Arguments
   42: *  =========
   43: *
   44: *  NORM    (input) CHARACTER*1
   45: *          Specifies the value to be returned in DLANGE as described
   46: *          above.
   47: *
   48: *  M       (input) INTEGER
   49: *          The number of rows of the matrix A.  M >= 0.  When M = 0,
   50: *          DLANGE is set to zero.
   51: *
   52: *  N       (input) INTEGER
   53: *          The number of columns of the matrix A.  N >= 0.  When N = 0,
   54: *          DLANGE is set to zero.
   55: *
   56: *  A       (input) DOUBLE PRECISION array, dimension (LDA,N)
   57: *          The m by n matrix A.
   58: *
   59: *  LDA     (input) INTEGER
   60: *          The leading dimension of the array A.  LDA >= max(M,1).
   61: *
   62: *  WORK    (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
   63: *          where LWORK >= M when NORM = 'I'; otherwise, WORK is not
   64: *          referenced.
   65: *
   66: * =====================================================================
   67: *
   68: *     .. Parameters ..
   69:       DOUBLE PRECISION   ONE, ZERO
   70:       PARAMETER          ( ONE = 1.0D+0, ZERO = 0.0D+0 )
   71: *     ..
   72: *     .. Local Scalars ..
   73:       INTEGER            I, J
   74:       DOUBLE PRECISION   SCALE, SUM, VALUE
   75: *     ..
   76: *     .. External Subroutines ..
   77:       EXTERNAL           DLASSQ
   78: *     ..
   79: *     .. External Functions ..
   80:       LOGICAL            LSAME
   81:       EXTERNAL           LSAME
   82: *     ..
   83: *     .. Intrinsic Functions ..
   84:       INTRINSIC          ABS, MAX, MIN, SQRT
   85: *     ..
   86: *     .. Executable Statements ..
   87: *
   88:       IF( MIN( M, N ).EQ.0 ) THEN
   89:          VALUE = ZERO
   90:       ELSE IF( LSAME( NORM, 'M' ) ) THEN
   91: *
   92: *        Find max(abs(A(i,j))).
   93: *
   94:          VALUE = ZERO
   95:          DO 20 J = 1, N
   96:             DO 10 I = 1, M
   97:                VALUE = MAX( VALUE, ABS( A( I, J ) ) )
   98:    10       CONTINUE
   99:    20    CONTINUE
  100:       ELSE IF( ( LSAME( NORM, 'O' ) ) .OR. ( NORM.EQ.'1' ) ) THEN
  101: *
  102: *        Find norm1(A).
  103: *
  104:          VALUE = ZERO
  105:          DO 40 J = 1, N
  106:             SUM = ZERO
  107:             DO 30 I = 1, M
  108:                SUM = SUM + ABS( A( I, J ) )
  109:    30       CONTINUE
  110:             VALUE = MAX( VALUE, SUM )
  111:    40    CONTINUE
  112:       ELSE IF( LSAME( NORM, 'I' ) ) THEN
  113: *
  114: *        Find normI(A).
  115: *
  116:          DO 50 I = 1, M
  117:             WORK( I ) = ZERO
  118:    50    CONTINUE
  119:          DO 70 J = 1, N
  120:             DO 60 I = 1, M
  121:                WORK( I ) = WORK( I ) + ABS( A( I, J ) )
  122:    60       CONTINUE
  123:    70    CONTINUE
  124:          VALUE = ZERO
  125:          DO 80 I = 1, M
  126:             VALUE = MAX( VALUE, WORK( I ) )
  127:    80    CONTINUE
  128:       ELSE IF( ( LSAME( NORM, 'F' ) ) .OR. ( LSAME( NORM, 'E' ) ) ) THEN
  129: *
  130: *        Find normF(A).
  131: *
  132:          SCALE = ZERO
  133:          SUM = ONE
  134:          DO 90 J = 1, N
  135:             CALL DLASSQ( M, A( 1, J ), 1, SCALE, SUM )
  136:    90    CONTINUE
  137:          VALUE = SCALE*SQRT( SUM )
  138:       END IF
  139: *
  140:       DLANGE = VALUE
  141:       RETURN
  142: *
  143: *     End of DLANGE
  144: *
  145:       END

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