LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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slantb.f
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1*> \brief \b SLANTB returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a triangular band matrix.
2*
3* =========== DOCUMENTATION ===========
4*
5* Online html documentation available at
6* http://www.netlib.org/lapack/explore-html/
7*
8*> \htmlonly
9*> Download SLANTB + dependencies
10*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/slantb.f">
11*> [TGZ]</a>
12*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/slantb.f">
13*> [ZIP]</a>
14*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/slantb.f">
15*> [TXT]</a>
16*> \endhtmlonly
17*
18* Definition:
19* ===========
20*
21* REAL FUNCTION SLANTB( NORM, UPLO, DIAG, N, K, AB,
22* LDAB, WORK )
23*
24* .. Scalar Arguments ..
25* CHARACTER DIAG, NORM, UPLO
26* INTEGER K, LDAB, N
27* ..
28* .. Array Arguments ..
29* REAL AB( LDAB, * ), WORK( * )
30* ..
31*
32*
33*> \par Purpose:
34* =============
35*>
36*> \verbatim
37*>
38*> SLANTB returns the value of the one norm, or the Frobenius norm, or
39*> the infinity norm, or the element of largest absolute value of an
40*> n by n triangular band matrix A, with ( k + 1 ) diagonals.
41*> \endverbatim
42*>
43*> \return SLANTB
44*> \verbatim
45*>
46*> SLANTB = ( max(abs(A(i,j))), NORM = 'M' or 'm'
47*> (
48*> ( norm1(A), NORM = '1', 'O' or 'o'
49*> (
50*> ( normI(A), NORM = 'I' or 'i'
51*> (
52*> ( normF(A), NORM = 'F', 'f', 'E' or 'e'
53*>
54*> where norm1 denotes the one norm of a matrix (maximum column sum),
55*> normI denotes the infinity norm of a matrix (maximum row sum) and
56*> normF denotes the Frobenius norm of a matrix (square root of sum of
57*> squares). Note that max(abs(A(i,j))) is not a consistent matrix norm.
58*> \endverbatim
59*
60* Arguments:
61* ==========
62*
63*> \param[in] NORM
64*> \verbatim
65*> NORM is CHARACTER*1
66*> Specifies the value to be returned in SLANTB as described
67*> above.
68*> \endverbatim
69*>
70*> \param[in] UPLO
71*> \verbatim
72*> UPLO is CHARACTER*1
73*> Specifies whether the matrix A is upper or lower triangular.
74*> = 'U': Upper triangular
75*> = 'L': Lower triangular
76*> \endverbatim
77*>
78*> \param[in] DIAG
79*> \verbatim
80*> DIAG is CHARACTER*1
81*> Specifies whether or not the matrix A is unit triangular.
82*> = 'N': Non-unit triangular
83*> = 'U': Unit triangular
84*> \endverbatim
85*>
86*> \param[in] N
87*> \verbatim
88*> N is INTEGER
89*> The order of the matrix A. N >= 0. When N = 0, SLANTB is
90*> set to zero.
91*> \endverbatim
92*>
93*> \param[in] K
94*> \verbatim
95*> K is INTEGER
96*> The number of super-diagonals of the matrix A if UPLO = 'U',
97*> or the number of sub-diagonals of the matrix A if UPLO = 'L'.
98*> K >= 0.
99*> \endverbatim
100*>
101*> \param[in] AB
102*> \verbatim
103*> AB is REAL array, dimension (LDAB,N)
104*> The upper or lower triangular band matrix A, stored in the
105*> first k+1 rows of AB. The j-th column of A is stored
106*> in the j-th column of the array AB as follows:
107*> if UPLO = 'U', AB(k+1+i-j,j) = A(i,j) for max(1,j-k)<=i<=j;
108*> if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+k).
109*> Note that when DIAG = 'U', the elements of the array AB
110*> corresponding to the diagonal elements of the matrix A are
111*> not referenced, but are assumed to be one.
112*> \endverbatim
113*>
114*> \param[in] LDAB
115*> \verbatim
116*> LDAB is INTEGER
117*> The leading dimension of the array AB. LDAB >= K+1.
118*> \endverbatim
119*>
120*> \param[out] WORK
121*> \verbatim
122*> WORK is REAL array, dimension (MAX(1,LWORK)),
123*> where LWORK >= N when NORM = 'I'; otherwise, WORK is not
124*> referenced.
125*> \endverbatim
126*
127* Authors:
128* ========
129*
130*> \author Univ. of Tennessee
131*> \author Univ. of California Berkeley
132*> \author Univ. of Colorado Denver
133*> \author NAG Ltd.
134*
135*> \ingroup lantb
136*
137* =====================================================================
138 REAL function slantb( norm, uplo, diag, n, k, ab,
139 $ ldab, work )
140*
141* -- LAPACK auxiliary routine --
142* -- LAPACK is a software package provided by Univ. of Tennessee, --
143* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
144*
145* .. Scalar Arguments ..
146 CHARACTER diag, norm, uplo
147 INTEGER k, ldab, n
148* ..
149* .. Array Arguments ..
150 REAL ab( ldab, * ), work( * )
151* ..
152*
153* =====================================================================
154*
155* .. Parameters ..
156 REAL one, zero
157 parameter( one = 1.0e+0, zero = 0.0e+0 )
158* ..
159* .. Local Scalars ..
160 LOGICAL udiag
161 INTEGER i, j, l
162 REAL scale, sum, value
163* ..
164* .. External Subroutines ..
165 EXTERNAL slassq
166* ..
167* .. External Functions ..
168 LOGICAL lsame, sisnan
169 EXTERNAL lsame, sisnan
170* ..
171* .. Intrinsic Functions ..
172 INTRINSIC abs, max, min, sqrt
173* ..
174* .. Executable Statements ..
175*
176 IF( n.EQ.0 ) THEN
177 VALUE = zero
178 ELSE IF( lsame( norm, 'M' ) ) THEN
179*
180* Find max(abs(A(i,j))).
181*
182 IF( lsame( diag, 'U' ) ) THEN
183 VALUE = one
184 IF( lsame( uplo, 'U' ) ) THEN
185 DO 20 j = 1, n
186 DO 10 i = max( k+2-j, 1 ), k
187 sum = abs( ab( i, j ) )
188 IF( VALUE .LT. sum .OR. sisnan( sum ) ) VALUE = sum
189 10 CONTINUE
190 20 CONTINUE
191 ELSE
192 DO 40 j = 1, n
193 DO 30 i = 2, min( n+1-j, k+1 )
194 sum = abs( ab( i, j ) )
195 IF( VALUE .LT. sum .OR. sisnan( sum ) ) VALUE = sum
196 30 CONTINUE
197 40 CONTINUE
198 END IF
199 ELSE
200 VALUE = zero
201 IF( lsame( uplo, 'U' ) ) THEN
202 DO 60 j = 1, n
203 DO 50 i = max( k+2-j, 1 ), k + 1
204 sum = abs( ab( i, j ) )
205 IF( VALUE .LT. sum .OR. sisnan( sum ) ) VALUE = sum
206 50 CONTINUE
207 60 CONTINUE
208 ELSE
209 DO 80 j = 1, n
210 DO 70 i = 1, min( n+1-j, k+1 )
211 sum = abs( ab( i, j ) )
212 IF( VALUE .LT. sum .OR. sisnan( sum ) ) VALUE = sum
213 70 CONTINUE
214 80 CONTINUE
215 END IF
216 END IF
217 ELSE IF( ( lsame( norm, 'O' ) ) .OR. ( norm.EQ.'1' ) ) THEN
218*
219* Find norm1(A).
220*
221 VALUE = zero
222 udiag = lsame( diag, 'U' )
223 IF( lsame( uplo, 'U' ) ) THEN
224 DO 110 j = 1, n
225 IF( udiag ) THEN
226 sum = one
227 DO 90 i = max( k+2-j, 1 ), k
228 sum = sum + abs( ab( i, j ) )
229 90 CONTINUE
230 ELSE
231 sum = zero
232 DO 100 i = max( k+2-j, 1 ), k + 1
233 sum = sum + abs( ab( i, j ) )
234 100 CONTINUE
235 END IF
236 IF( VALUE .LT. sum .OR. sisnan( sum ) ) VALUE = sum
237 110 CONTINUE
238 ELSE
239 DO 140 j = 1, n
240 IF( udiag ) THEN
241 sum = one
242 DO 120 i = 2, min( n+1-j, k+1 )
243 sum = sum + abs( ab( i, j ) )
244 120 CONTINUE
245 ELSE
246 sum = zero
247 DO 130 i = 1, min( n+1-j, k+1 )
248 sum = sum + abs( ab( i, j ) )
249 130 CONTINUE
250 END IF
251 IF( VALUE .LT. sum .OR. sisnan( sum ) ) VALUE = sum
252 140 CONTINUE
253 END IF
254 ELSE IF( lsame( norm, 'I' ) ) THEN
255*
256* Find normI(A).
257*
258 VALUE = zero
259 IF( lsame( uplo, 'U' ) ) THEN
260 IF( lsame( diag, 'U' ) ) THEN
261 DO 150 i = 1, n
262 work( i ) = one
263 150 CONTINUE
264 DO 170 j = 1, n
265 l = k + 1 - j
266 DO 160 i = max( 1, j-k ), j - 1
267 work( i ) = work( i ) + abs( ab( l+i, j ) )
268 160 CONTINUE
269 170 CONTINUE
270 ELSE
271 DO 180 i = 1, n
272 work( i ) = zero
273 180 CONTINUE
274 DO 200 j = 1, n
275 l = k + 1 - j
276 DO 190 i = max( 1, j-k ), j
277 work( i ) = work( i ) + abs( ab( l+i, j ) )
278 190 CONTINUE
279 200 CONTINUE
280 END IF
281 ELSE
282 IF( lsame( diag, 'U' ) ) THEN
283 DO 210 i = 1, n
284 work( i ) = one
285 210 CONTINUE
286 DO 230 j = 1, n
287 l = 1 - j
288 DO 220 i = j + 1, min( n, j+k )
289 work( i ) = work( i ) + abs( ab( l+i, j ) )
290 220 CONTINUE
291 230 CONTINUE
292 ELSE
293 DO 240 i = 1, n
294 work( i ) = zero
295 240 CONTINUE
296 DO 260 j = 1, n
297 l = 1 - j
298 DO 250 i = j, min( n, j+k )
299 work( i ) = work( i ) + abs( ab( l+i, j ) )
300 250 CONTINUE
301 260 CONTINUE
302 END IF
303 END IF
304 DO 270 i = 1, n
305 sum = work( i )
306 IF( VALUE .LT. sum .OR. sisnan( sum ) ) VALUE = sum
307 270 CONTINUE
308 ELSE IF( ( lsame( norm, 'F' ) ) .OR. ( lsame( norm, 'E' ) ) ) THEN
309*
310* Find normF(A).
311*
312 IF( lsame( uplo, 'U' ) ) THEN
313 IF( lsame( diag, 'U' ) ) THEN
314 scale = one
315 sum = n
316 IF( k.GT.0 ) THEN
317 DO 280 j = 2, n
318 CALL slassq( min( j-1, k ),
319 $ ab( max( k+2-j, 1 ), j ), 1, scale,
320 $ sum )
321 280 CONTINUE
322 END IF
323 ELSE
324 scale = zero
325 sum = one
326 DO 290 j = 1, n
327 CALL slassq( min( j, k+1 ), ab( max( k+2-j, 1 ), j ),
328 $ 1, scale, sum )
329 290 CONTINUE
330 END IF
331 ELSE
332 IF( lsame( diag, 'U' ) ) THEN
333 scale = one
334 sum = n
335 IF( k.GT.0 ) THEN
336 DO 300 j = 1, n - 1
337 CALL slassq( min( n-j, k ), ab( 2, j ), 1, scale,
338 $ sum )
339 300 CONTINUE
340 END IF
341 ELSE
342 scale = zero
343 sum = one
344 DO 310 j = 1, n
345 CALL slassq( min( n-j+1, k+1 ), ab( 1, j ), 1, scale,
346 $ sum )
347 310 CONTINUE
348 END IF
349 END IF
350 VALUE = scale*sqrt( sum )
351 END IF
352*
353 slantb = VALUE
354 RETURN
355*
356* End of SLANTB
357*
358 END
logical function sisnan(sin)
SISNAN tests input for NaN.
Definition sisnan.f:59
real function slantb(norm, uplo, diag, n, k, ab, ldab, work)
SLANTB returns the value of the 1-norm, or the Frobenius norm, or the infinity norm,...
Definition slantb.f:140
subroutine slassq(n, x, incx, scale, sumsq)
SLASSQ updates a sum of squares represented in scaled form.
Definition slassq.f90:124
logical function lsame(ca, cb)
LSAME
Definition lsame.f:48