File:  [local] / rpl / lapack / lapack / dlange.f
Revision 1.18: download - view: text, annotated - select for diffs - revision graph
Thu May 21 21:45:59 2020 UTC (3 years, 11 months ago) by bertrand
Branches: MAIN
CVS tags: rpl-4_1_33, rpl-4_1_32, HEAD
Mise à jour de Lapack.

    1: *> \brief \b DLANGE returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of a general rectangular matrix.
    2: *
    3: *  =========== DOCUMENTATION ===========
    4: *
    5: * Online html documentation available at
    6: *            http://www.netlib.org/lapack/explore-html/
    7: *
    8: *> \htmlonly
    9: *> Download DLANGE + dependencies
   10: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlange.f">
   11: *> [TGZ]</a>
   12: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlange.f">
   13: *> [ZIP]</a>
   14: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlange.f">
   15: *> [TXT]</a>
   16: *> \endhtmlonly
   17: *
   18: *  Definition:
   19: *  ===========
   20: *
   21: *       DOUBLE PRECISION FUNCTION DLANGE( NORM, M, N, A, LDA, WORK )
   22: *
   23: *       .. Scalar Arguments ..
   24: *       CHARACTER          NORM
   25: *       INTEGER            LDA, M, N
   26: *       ..
   27: *       .. Array Arguments ..
   28: *       DOUBLE PRECISION   A( LDA, * ), WORK( * )
   29: *       ..
   30: *
   31: *
   32: *> \par Purpose:
   33: *  =============
   34: *>
   35: *> \verbatim
   36: *>
   37: *> DLANGE  returns the value of the one norm,  or the Frobenius norm, or
   38: *> the  infinity norm,  or the  element of  largest absolute value  of a
   39: *> real matrix A.
   40: *> \endverbatim
   41: *>
   42: *> \return DLANGE
   43: *> \verbatim
   44: *>
   45: *>    DLANGE = ( max(abs(A(i,j))), NORM = 'M' or 'm'
   46: *>             (
   47: *>             ( norm1(A),         NORM = '1', 'O' or 'o'
   48: *>             (
   49: *>             ( normI(A),         NORM = 'I' or 'i'
   50: *>             (
   51: *>             ( normF(A),         NORM = 'F', 'f', 'E' or 'e'
   52: *>
   53: *> where  norm1  denotes the  one norm of a matrix (maximum column sum),
   54: *> normI  denotes the  infinity norm  of a matrix  (maximum row sum) and
   55: *> normF  denotes the  Frobenius norm of a matrix (square root of sum of
   56: *> squares).  Note that  max(abs(A(i,j)))  is not a consistent matrix norm.
   57: *> \endverbatim
   58: *
   59: *  Arguments:
   60: *  ==========
   61: *
   62: *> \param[in] NORM
   63: *> \verbatim
   64: *>          NORM is CHARACTER*1
   65: *>          Specifies the value to be returned in DLANGE as described
   66: *>          above.
   67: *> \endverbatim
   68: *>
   69: *> \param[in] M
   70: *> \verbatim
   71: *>          M is INTEGER
   72: *>          The number of rows of the matrix A.  M >= 0.  When M = 0,
   73: *>          DLANGE is set to zero.
   74: *> \endverbatim
   75: *>
   76: *> \param[in] N
   77: *> \verbatim
   78: *>          N is INTEGER
   79: *>          The number of columns of the matrix A.  N >= 0.  When N = 0,
   80: *>          DLANGE is set to zero.
   81: *> \endverbatim
   82: *>
   83: *> \param[in] A
   84: *> \verbatim
   85: *>          A is DOUBLE PRECISION array, dimension (LDA,N)
   86: *>          The m by n matrix A.
   87: *> \endverbatim
   88: *>
   89: *> \param[in] LDA
   90: *> \verbatim
   91: *>          LDA is INTEGER
   92: *>          The leading dimension of the array A.  LDA >= max(M,1).
   93: *> \endverbatim
   94: *>
   95: *> \param[out] WORK
   96: *> \verbatim
   97: *>          WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
   98: *>          where LWORK >= M when NORM = 'I'; otherwise, WORK is not
   99: *>          referenced.
  100: *> \endverbatim
  101: *
  102: *  Authors:
  103: *  ========
  104: *
  105: *> \author Univ. of Tennessee
  106: *> \author Univ. of California Berkeley
  107: *> \author Univ. of Colorado Denver
  108: *> \author NAG Ltd.
  109: *
  110: *> \date December 2016
  111: *
  112: *> \ingroup doubleGEauxiliary
  113: *
  114: *  =====================================================================
  115:       DOUBLE PRECISION FUNCTION DLANGE( NORM, M, N, A, LDA, WORK )
  116: *
  117: *  -- LAPACK auxiliary routine (version 3.7.0) --
  118: *  -- LAPACK is a software package provided by Univ. of Tennessee,    --
  119: *  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  120: *     December 2016
  121: *
  122:       IMPLICIT NONE
  123: *     .. Scalar Arguments ..
  124:       CHARACTER          NORM
  125:       INTEGER            LDA, M, N
  126: *     ..
  127: *     .. Array Arguments ..
  128:       DOUBLE PRECISION   A( LDA, * ), WORK( * )
  129: *     ..
  130: *
  131: * =====================================================================
  132: *
  133: *     .. Parameters ..
  134:       DOUBLE PRECISION   ONE, ZERO
  135:       PARAMETER          ( ONE = 1.0D+0, ZERO = 0.0D+0 )
  136: *     ..
  137: *     .. Local Scalars ..
  138:       INTEGER            I, J
  139:       DOUBLE PRECISION   SUM, VALUE, TEMP
  140: *     ..
  141: *     .. Local Arrays ..
  142:       DOUBLE PRECISION   SSQ( 2 ), COLSSQ( 2 )
  143: *     ..
  144: *     .. External Subroutines ..
  145:       EXTERNAL           DLASSQ, DCOMBSSQ
  146: *     ..
  147: *     .. External Functions ..
  148:       LOGICAL            LSAME, DISNAN
  149:       EXTERNAL           LSAME, DISNAN
  150: *     ..
  151: *     .. Intrinsic Functions ..
  152:       INTRINSIC          ABS, MIN, SQRT
  153: *     ..
  154: *     .. Executable Statements ..
  155: *
  156:       IF( MIN( M, N ).EQ.0 ) THEN
  157:          VALUE = ZERO
  158:       ELSE IF( LSAME( NORM, 'M' ) ) THEN
  159: *
  160: *        Find max(abs(A(i,j))).
  161: *
  162:          VALUE = ZERO
  163:          DO 20 J = 1, N
  164:             DO 10 I = 1, M
  165:                TEMP = ABS( A( I, J ) )
  166:                IF( VALUE.LT.TEMP .OR. DISNAN( TEMP ) ) VALUE = TEMP
  167:    10       CONTINUE
  168:    20    CONTINUE
  169:       ELSE IF( ( LSAME( NORM, 'O' ) ) .OR. ( NORM.EQ.'1' ) ) THEN
  170: *
  171: *        Find norm1(A).
  172: *
  173:          VALUE = ZERO
  174:          DO 40 J = 1, N
  175:             SUM = ZERO
  176:             DO 30 I = 1, M
  177:                SUM = SUM + ABS( A( I, J ) )
  178:    30       CONTINUE
  179:             IF( VALUE.LT.SUM .OR. DISNAN( SUM ) ) VALUE = SUM
  180:    40    CONTINUE
  181:       ELSE IF( LSAME( NORM, 'I' ) ) THEN
  182: *
  183: *        Find normI(A).
  184: *
  185:          DO 50 I = 1, M
  186:             WORK( I ) = ZERO
  187:    50    CONTINUE
  188:          DO 70 J = 1, N
  189:             DO 60 I = 1, M
  190:                WORK( I ) = WORK( I ) + ABS( A( I, J ) )
  191:    60       CONTINUE
  192:    70    CONTINUE
  193:          VALUE = ZERO
  194:          DO 80 I = 1, M
  195:             TEMP = WORK( I )
  196:             IF( VALUE.LT.TEMP .OR. DISNAN( TEMP ) ) VALUE = TEMP
  197:    80    CONTINUE
  198:       ELSE IF( ( LSAME( NORM, 'F' ) ) .OR. ( LSAME( NORM, 'E' ) ) ) THEN
  199: *
  200: *        Find normF(A).
  201: *        SSQ(1) is scale
  202: *        SSQ(2) is sum-of-squares
  203: *        For better accuracy, sum each column separately.
  204: *
  205:          SSQ( 1 ) = ZERO
  206:          SSQ( 2 ) = ONE
  207:          DO 90 J = 1, N
  208:             COLSSQ( 1 ) = ZERO
  209:             COLSSQ( 2 ) = ONE
  210:             CALL DLASSQ( M, A( 1, J ), 1, COLSSQ( 1 ), COLSSQ( 2 ) )
  211:             CALL DCOMBSSQ( SSQ, COLSSQ )
  212:    90    CONTINUE
  213:          VALUE = SSQ( 1 )*SQRT( SSQ( 2 ) )
  214:       END IF
  215: *
  216:       DLANGE = VALUE
  217:       RETURN
  218: *
  219: *     End of DLANGE
  220: *
  221:       END

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