LAPACK  3.9.1
LAPACK: Linear Algebra PACKage
dlanhs.f
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1 *> \brief \b DLANHS returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of an upper Hessenberg matrix.
2 *
3 * =========== DOCUMENTATION ===========
4 *
5 * Online html documentation available at
6 * http://www.netlib.org/lapack/explore-html/
7 *
8 *> \htmlonly
9 *> Download DLANHS + dependencies
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11 *> [TGZ]</a>
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13 *> [ZIP]</a>
14 *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlanhs.f">
15 *> [TXT]</a>
16 *> \endhtmlonly
17 *
18 * Definition:
19 * ===========
20 *
21 * DOUBLE PRECISION FUNCTION DLANHS( NORM, N, A, LDA, WORK )
22 *
23 * .. Scalar Arguments ..
24 * CHARACTER NORM
25 * INTEGER LDA, N
26 * ..
27 * .. Array Arguments ..
28 * DOUBLE PRECISION A( LDA, * ), WORK( * )
29 * ..
30 *
31 *
32 *> \par Purpose:
33 * =============
34 *>
35 *> \verbatim
36 *>
37 *> DLANHS 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 *> Hessenberg matrix A.
40 *> \endverbatim
41 *>
42 *> \return DLANHS
43 *> \verbatim
44 *>
45 *> DLANHS = ( 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 DLANHS as described
66 *> above.
67 *> \endverbatim
68 *>
69 *> \param[in] N
70 *> \verbatim
71 *> N is INTEGER
72 *> The order of the matrix A. N >= 0. When N = 0, DLANHS is
73 *> set to zero.
74 *> \endverbatim
75 *>
76 *> \param[in] A
77 *> \verbatim
78 *> A is DOUBLE PRECISION array, dimension (LDA,N)
79 *> The n by n upper Hessenberg matrix A; the part of A below the
80 *> first sub-diagonal is not referenced.
81 *> \endverbatim
82 *>
83 *> \param[in] LDA
84 *> \verbatim
85 *> LDA is INTEGER
86 *> The leading dimension of the array A. LDA >= max(N,1).
87 *> \endverbatim
88 *>
89 *> \param[out] WORK
90 *> \verbatim
91 *> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
92 *> where LWORK >= N when NORM = 'I'; otherwise, WORK is not
93 *> referenced.
94 *> \endverbatim
95 *
96 * Authors:
97 * ========
98 *
99 *> \author Univ. of Tennessee
100 *> \author Univ. of California Berkeley
101 *> \author Univ. of Colorado Denver
102 *> \author NAG Ltd.
103 *
104 *> \ingroup doubleOTHERauxiliary
105 *
106 * =====================================================================
107  DOUBLE PRECISION FUNCTION dlanhs( NORM, N, A, LDA, WORK )
108 *
109 * -- LAPACK auxiliary routine --
110 * -- LAPACK is a software package provided by Univ. of Tennessee, --
111 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
112 *
113  IMPLICIT NONE
114 * .. Scalar Arguments ..
115  CHARACTER norm
116  INTEGER lda, n
117 * ..
118 * .. Array Arguments ..
119  DOUBLE PRECISION a( lda, * ), work( * )
120 * ..
121 *
122 * =====================================================================
123 *
124 * .. Parameters ..
125  DOUBLE PRECISION one, zero
126  parameter( one = 1.0d+0, zero = 0.0d+0 )
127 * ..
128 * .. Local Scalars ..
129  INTEGER i, j
130  DOUBLE PRECISION sum, value
131 * ..
132 * .. Local Arrays ..
133  DOUBLE PRECISION ssq( 2 ), colssq( 2 )
134 * ..
135 * .. External Functions ..
136  LOGICAL lsame, disnan
137  EXTERNAL lsame, disnan
138 * ..
139 * .. External Subroutines ..
140  EXTERNAL dlassq, dcombssq
141 * ..
142 * .. Intrinsic Functions ..
143  INTRINSIC abs, min, sqrt
144 * ..
145 * .. Executable Statements ..
146 *
147  IF( n.EQ.0 ) THEN
148  VALUE = zero
149  ELSE IF( lsame( norm, 'M' ) ) THEN
150 *
151 * Find max(abs(A(i,j))).
152 *
153  VALUE = zero
154  DO 20 j = 1, n
155  DO 10 i = 1, min( n, j+1 )
156  sum = abs( a( i, j ) )
157  IF( VALUE .LT. sum .OR. disnan( sum ) ) VALUE = sum
158  10 CONTINUE
159  20 CONTINUE
160  ELSE IF( ( lsame( norm, 'O' ) ) .OR. ( norm.EQ.'1' ) ) THEN
161 *
162 * Find norm1(A).
163 *
164  VALUE = zero
165  DO 40 j = 1, n
166  sum = zero
167  DO 30 i = 1, min( n, j+1 )
168  sum = sum + abs( a( i, j ) )
169  30 CONTINUE
170  IF( VALUE .LT. sum .OR. disnan( sum ) ) VALUE = sum
171  40 CONTINUE
172  ELSE IF( lsame( norm, 'I' ) ) THEN
173 *
174 * Find normI(A).
175 *
176  DO 50 i = 1, n
177  work( i ) = zero
178  50 CONTINUE
179  DO 70 j = 1, n
180  DO 60 i = 1, min( n, j+1 )
181  work( i ) = work( i ) + abs( a( i, j ) )
182  60 CONTINUE
183  70 CONTINUE
184  VALUE = zero
185  DO 80 i = 1, n
186  sum = work( i )
187  IF( VALUE .LT. sum .OR. disnan( sum ) ) VALUE = sum
188  80 CONTINUE
189  ELSE IF( ( lsame( norm, 'F' ) ) .OR. ( lsame( norm, 'E' ) ) ) THEN
190 *
191 * Find normF(A).
192 * SSQ(1) is scale
193 * SSQ(2) is sum-of-squares
194 * For better accuracy, sum each column separately.
195 *
196  ssq( 1 ) = zero
197  ssq( 2 ) = one
198  DO 90 j = 1, n
199  colssq( 1 ) = zero
200  colssq( 2 ) = one
201  CALL dlassq( min( n, j+1 ), a( 1, j ), 1,
202  $ colssq( 1 ), colssq( 2 ) )
203  CALL dcombssq( ssq, colssq )
204  90 CONTINUE
205  VALUE = ssq( 1 )*sqrt( ssq( 2 ) )
206  END IF
207 *
208  dlanhs = VALUE
209  RETURN
210 *
211 * End of DLANHS
212 *
213  END
logical function disnan(DIN)
DISNAN tests input for NaN.
Definition: disnan.f:59
subroutine dcombssq(V1, V2)
DCOMBSSQ adds two scaled sum of squares quantities.
Definition: dcombssq.f:60
subroutine dlassq(N, X, INCX, SCALE, SUMSQ)
DLASSQ updates a sum of squares represented in scaled form.
Definition: dlassq.f:103
logical function lsame(CA, CB)
LSAME
Definition: lsame.f:53
double precision function dlanhs(NORM, N, A, LDA, WORK)
DLANHS returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value ...
Definition: dlanhs.f:108