dlanhs.f

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      DOUBLE PRECISION FUNCTION dlanhs( NORM, N, A, LDA, WORK )
*
*  -- LAPACK auxiliary routine (version 3.0) --
*     Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
*     Courant Institute, Argonne National Lab, and Rice University
*     October 31, 1992
*
*     .. Scalar Arguments ..
      CHARACTER          norm
      INTEGER            lda, n
*     ..
*     .. Array Arguments ..
      DOUBLE PRECISION   a( lda, * ), work( * )
*     ..
*
*  Purpose
*  =======
*
*  DLANHS  returns the value of the one norm,  or the Frobenius norm, or
*  the  infinity norm,  or the  element of  largest absolute value  of a
*  Hessenberg matrix A.
*
*  Description
*  ===========
*
*  DLANHS returns the value
*
*     DLANHS = ( max(abs(A(i,j))), NORM = 'M' or 'm'
*              (
*              ( norm1(A),         NORM = '1', 'O' or 'o'
*              (
*              ( normI(A),         NORM = 'I' or 'i'
*              (
*              ( normF(A),         NORM = 'F', 'f', 'E' or 'e'
*
*  where  norm1  denotes the  one norm of a matrix (maximum column sum),
*  normI  denotes the  infinity norm  of a matrix  (maximum row sum) and
*  normF  denotes the  Frobenius norm of a matrix (square root of sum of
*  squares).  Note that  max(abs(A(i,j)))  is not a  matrix norm.
*
*  Arguments
*  =========
*
*  NORM    (input) CHARACTER*1
*          Specifies the value to be returned in DLANHS as described
*          above.
*
*  N       (input) INTEGER
*          The order of the matrix A.  N >= 0.  When N = 0, DLANHS is
*          set to zero.
*
*  A       (input) DOUBLE PRECISION array, dimension (LDA,N)
*          The n by n upper Hessenberg matrix A; the part of A below the
*          first sub-diagonal is not referenced.
*
*  LDA     (input) INTEGER
*          The leading dimension of the array A.  LDA >= max(N,1).
*
*  WORK    (workspace) DOUBLE PRECISION array, dimension (LWORK),
*          where LWORK >= N when NORM = 'I'; otherwise, WORK is not
*          referenced.
*
* =====================================================================
*
*     .. Parameters ..
      DOUBLE PRECISION   one, zero
      parameter( one = 1.0d+0, zero = 0.0d+0 )
*     ..
*     .. Local Scalars ..
      INTEGER            i, j
      DOUBLE PRECISION   scale, sum, value
*     ..
*     .. External Subroutines ..
      EXTERNAL           dlassq
*     ..
*     .. External Functions ..
      LOGICAL            lsame
      EXTERNAL           lsame
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          abs, max, min, sqrt
*     ..
*     .. Executable Statements ..
*
      IF( n.EQ.0 ) THEN
         VALUE = zero
      ELSE IF( lsame( norm, 'M' ) ) THEN
*
*        Find max(abs(A(i,j))).
*
         VALUE = zero
         DO 20 j = 1, n
            DO 10 i = 1, min( n, j+1 )
               VALUE = max( VALUE, abs( a( i, j ) ) )
   10       CONTINUE
   20    CONTINUE
      ELSE IF( ( lsame( norm, 'O' ) ) .OR. ( norm.EQ.'1' ) ) THEN
*
*        Find norm1(A).
*
         VALUE = zero
         DO 40 j = 1, n
            sum = zero
            DO 30 i = 1, min( n, j+1 )
               sum = sum + abs( a( i, j ) )
   30       CONTINUE
            VALUE = max( VALUE, sum )
   40    CONTINUE
      ELSE IF( lsame( norm, 'I' ) ) THEN
*
*        Find normI(A).
*
         DO 50 i = 1, n
            work( i ) = zero
   50    CONTINUE
         DO 70 j = 1, n
            DO 60 i = 1, min( n, j+1 )
               work( i ) = work( i ) + abs( a( i, j ) )
   60       CONTINUE
   70    CONTINUE
         VALUE = zero
         DO 80 i = 1, n
            VALUE = max( VALUE, work( i ) )
   80    CONTINUE
      ELSE IF( ( lsame( norm, 'F' ) ) .OR. ( lsame( norm, 'E' ) ) ) THEN
*
*        Find normF(A).
*
         scale = zero
         sum = one
         DO 90 j = 1, n
            CALL dlassq( min( n, j+1 ), a( 1, j ), 1, scale, sum )
   90    CONTINUE
         VALUE = scale*sqrt( sum )
      END IF
*
      dlanhs = VALUE
      RETURN
*
*     End of DLANHS
*
      END