LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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◆ cerrls()

subroutine cerrls ( character*3  path,
integer  nunit 
)

CERRLS

Purpose:
 CERRLS tests the error exits for the COMPLEX least squares
 driver routines (CGELS, CGELST, CGETSLS, CGELSS, CGELSY, CGELSD).
Parameters
[in]PATH
          PATH is CHARACTER*3
          The LAPACK path name for the routines to be tested.
[in]NUNIT
          NUNIT is INTEGER
          The unit number for output.
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.

Definition at line 54 of file cerrls.f.

55*
56* -- LAPACK test routine --
57* -- LAPACK is a software package provided by Univ. of Tennessee, --
58* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
59*
60* .. Scalar Arguments ..
61 CHARACTER*3 PATH
62 INTEGER NUNIT
63* ..
64*
65* =====================================================================
66*
67* .. Parameters ..
68 INTEGER NMAX
69 parameter( nmax = 2 )
70* ..
71* .. Local Scalars ..
72 CHARACTER*2 C2
73 INTEGER INFO, IRNK
74 REAL RCOND
75* ..
76* .. Local Arrays ..
77 INTEGER IP( NMAX )
78 REAL RW( NMAX ), S( NMAX )
79 COMPLEX A( NMAX, NMAX ), B( NMAX, NMAX ), W( NMAX )
80* ..
81* .. External Functions ..
82 LOGICAL LSAMEN
83 EXTERNAL lsamen
84* ..
85* .. External Subroutines ..
86 EXTERNAL alaesm, chkxer, cgels, cgelsd, cgelss, cgelst,
87 $ cgelsy, cgetsls
88* ..
89* .. Scalars in Common ..
90 LOGICAL LERR, OK
91 CHARACTER*32 SRNAMT
92 INTEGER INFOT, NOUT
93* ..
94* .. Common blocks ..
95 COMMON / infoc / infot, nout, ok, lerr
96 COMMON / srnamc / srnamt
97* ..
98* .. Executable Statements ..
99*
100 nout = nunit
101 c2 = path( 2: 3 )
102 a( 1, 1 ) = ( 1.0e+0, 0.0e+0 )
103 a( 1, 2 ) = ( 2.0e+0, 0.0e+0 )
104 a( 2, 2 ) = ( 3.0e+0, 0.0e+0 )
105 a( 2, 1 ) = ( 4.0e+0, 0.0e+0 )
106 ok = .true.
107 WRITE( nout, fmt = * )
108*
109* Test error exits for the least squares driver routines.
110*
111 IF( lsamen( 2, c2, 'LS' ) ) THEN
112*
113* CGELS
114*
115 srnamt = 'CGELS '
116 infot = 1
117 CALL cgels( '/', 0, 0, 0, a, 1, b, 1, w, 1, info )
118 CALL chkxer( 'CGELS ', infot, nout, lerr, ok )
119 infot = 2
120 CALL cgels( 'N', -1, 0, 0, a, 1, b, 1, w, 1, info )
121 CALL chkxer( 'CGELS ', infot, nout, lerr, ok )
122 infot = 3
123 CALL cgels( 'N', 0, -1, 0, a, 1, b, 1, w, 1, info )
124 CALL chkxer( 'CGELS ', infot, nout, lerr, ok )
125 infot = 4
126 CALL cgels( 'N', 0, 0, -1, a, 1, b, 1, w, 1, info )
127 CALL chkxer( 'CGELS ', infot, nout, lerr, ok )
128 infot = 6
129 CALL cgels( 'N', 2, 0, 0, a, 1, b, 2, w, 2, info )
130 CALL chkxer( 'CGELS ', infot, nout, lerr, ok )
131 infot = 8
132 CALL cgels( 'N', 2, 0, 0, a, 2, b, 1, w, 2, info )
133 CALL chkxer( 'CGELS ', infot, nout, lerr, ok )
134 infot = 8
135 CALL cgels( 'N', 0, 2, 0, a, 1, b, 1, w, 2, info )
136 CALL chkxer( 'CGELS', infot, nout, lerr, ok )
137 infot = 10
138 CALL cgels( 'N', 1, 1, 0, a, 1, b, 1, w, 1, info )
139 CALL chkxer( 'CGELS ', infot, nout, lerr, ok )
140*
141* CGELST
142*
143 srnamt = 'CGELST'
144 infot = 1
145 CALL cgelst( '/', 0, 0, 0, a, 1, b, 1, w, 1, info )
146 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
147 infot = 2
148 CALL cgelst( 'N', -1, 0, 0, a, 1, b, 1, w, 1, info )
149 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
150 infot = 3
151 CALL cgelst( 'N', 0, -1, 0, a, 1, b, 1, w, 1, info )
152 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
153 infot = 4
154 CALL cgelst( 'N', 0, 0, -1, a, 1, b, 1, w, 1, info )
155 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
156 infot = 6
157 CALL cgelst( 'N', 2, 0, 0, a, 1, b, 2, w, 2, info )
158 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
159 infot = 8
160 CALL cgelst( 'N', 2, 0, 0, a, 2, b, 1, w, 2, info )
161 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
162 infot = 8
163 CALL cgelst( 'N', 0, 2, 0, a, 1, b, 1, w, 2, info )
164 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
165 infot = 10
166 CALL cgelst( 'N', 1, 1, 0, a, 1, b, 1, w, 1, info )
167 CALL chkxer( 'CGELST', infot, nout, lerr, ok )
168*
169* CGETSLS
170*
171 srnamt = 'CGETSLS'
172 infot = 1
173 CALL cgetsls( '/', 0, 0, 0, a, 1, b, 1, w, 1, info )
174 CALL chkxer( 'CGETSLS', infot, nout, lerr, ok )
175 infot = 2
176 CALL cgetsls( 'N', -1, 0, 0, a, 1, b, 1, w, 1, info )
177 CALL chkxer( 'CGETSLS', infot, nout, lerr, ok )
178 infot = 3
179 CALL cgetsls( 'N', 0, -1, 0, a, 1, b, 1, w, 1, info )
180 CALL chkxer( 'CGETSLS', infot, nout, lerr, ok )
181 infot = 4
182 CALL cgetsls( 'N', 0, 0, -1, a, 1, b, 1, w, 1, info )
183 CALL chkxer( 'CGETSLS', infot, nout, lerr, ok )
184 infot = 6
185 CALL cgetsls( 'N', 2, 0, 0, a, 1, b, 2, w, 2, info )
186 CALL chkxer( 'CGETSLS', infot, nout, lerr, ok )
187 infot = 8
188 CALL cgetsls( 'N', 2, 0, 0, a, 2, b, 1, w, 2, info )
189 CALL chkxer( 'CGETSLS', infot, nout, lerr, ok )
190 infot = 8
191 CALL cgetsls( 'N', 0, 2, 0, a, 1, b, 1, w, 2, info )
192 CALL chkxer( 'CGETSLS', infot, nout, lerr, ok )
193*
194* CGELSS
195*
196 srnamt = 'CGELSS'
197 infot = 1
198 CALL cgelss( -1, 0, 0, a, 1, b, 1, s, rcond, irnk, w, 1, rw,
199 $ info )
200 CALL chkxer( 'CGELSS', infot, nout, lerr, ok )
201 infot = 2
202 CALL cgelss( 0, -1, 0, a, 1, b, 1, s, rcond, irnk, w, 1, rw,
203 $ info )
204 CALL chkxer( 'CGELSS', infot, nout, lerr, ok )
205 infot = 3
206 CALL cgelss( 0, 0, -1, a, 1, b, 1, s, rcond, irnk, w, 1, rw,
207 $ info )
208 CALL chkxer( 'CGELSS', infot, nout, lerr, ok )
209 infot = 5
210 CALL cgelss( 2, 0, 0, a, 1, b, 2, s, rcond, irnk, w, 2, rw,
211 $ info )
212 CALL chkxer( 'CGELSS', infot, nout, lerr, ok )
213 infot = 7
214 CALL cgelss( 2, 0, 0, a, 2, b, 1, s, rcond, irnk, w, 2, rw,
215 $ info )
216 CALL chkxer( 'CGELSS', infot, nout, lerr, ok )
217*
218* CGELSY
219*
220 srnamt = 'CGELSY'
221 infot = 1
222 CALL cgelsy( -1, 0, 0, a, 1, b, 1, ip, rcond, irnk, w, 10, rw,
223 $ info )
224 CALL chkxer( 'CGELSY', infot, nout, lerr, ok )
225 infot = 2
226 CALL cgelsy( 0, -1, 0, a, 1, b, 1, ip, rcond, irnk, w, 10, rw,
227 $ info )
228 CALL chkxer( 'CGELSY', infot, nout, lerr, ok )
229 infot = 3
230 CALL cgelsy( 0, 0, -1, a, 1, b, 1, ip, rcond, irnk, w, 10, rw,
231 $ info )
232 CALL chkxer( 'CGELSY', infot, nout, lerr, ok )
233 infot = 5
234 CALL cgelsy( 2, 0, 0, a, 1, b, 2, ip, rcond, irnk, w, 10, rw,
235 $ info )
236 CALL chkxer( 'CGELSY', infot, nout, lerr, ok )
237 infot = 7
238 CALL cgelsy( 2, 0, 0, a, 2, b, 1, ip, rcond, irnk, w, 10, rw,
239 $ info )
240 CALL chkxer( 'CGELSY', infot, nout, lerr, ok )
241 infot = 12
242 CALL cgelsy( 0, 3, 0, a, 1, b, 3, ip, rcond, irnk, w, 1, rw,
243 $ info )
244 CALL chkxer( 'CGELSY', infot, nout, lerr, ok )
245*
246* CGELSD
247*
248 srnamt = 'CGELSD'
249 infot = 1
250 CALL cgelsd( -1, 0, 0, a, 1, b, 1, s, rcond, irnk, w, 10,
251 $ rw, ip, info )
252 CALL chkxer( 'CGELSD', infot, nout, lerr, ok )
253 infot = 2
254 CALL cgelsd( 0, -1, 0, a, 1, b, 1, s, rcond, irnk, w, 10,
255 $ rw, ip, info )
256 CALL chkxer( 'CGELSD', infot, nout, lerr, ok )
257 infot = 3
258 CALL cgelsd( 0, 0, -1, a, 1, b, 1, s, rcond, irnk, w, 10,
259 $ rw, ip, info )
260 CALL chkxer( 'CGELSD', infot, nout, lerr, ok )
261 infot = 5
262 CALL cgelsd( 2, 0, 0, a, 1, b, 2, s, rcond, irnk, w, 10,
263 $ rw, ip, info )
264 CALL chkxer( 'CGELSD', infot, nout, lerr, ok )
265 infot = 7
266 CALL cgelsd( 2, 0, 0, a, 2, b, 1, s, rcond, irnk, w, 10,
267 $ rw, ip, info )
268 CALL chkxer( 'CGELSD', infot, nout, lerr, ok )
269 infot = 12
270 CALL cgelsd( 2, 2, 1, a, 2, b, 2, s, rcond, irnk, w, 1,
271 $ rw, ip, info )
272 CALL chkxer( 'CGELSD', infot, nout, lerr, ok )
273 END IF
274*
275* Print a summary line.
276*
277 CALL alaesm( path, ok, nout )
278*
279 RETURN
280*
281* End of CERRLS
282*
alaesm
subroutine alaesm(path, ok, nout)
ALAESM
Definition alaesm.f:63
chkxer
subroutine chkxer(srnamt, infot, nout, lerr, ok)
Definition cblat2.f:3224
cgels
subroutine cgels(trans, m, n, nrhs, a, lda, b, ldb, work, lwork, info)
CGELS solves overdetermined or underdetermined systems for GE matrices
Definition cgels.f:182
cgelsd
subroutine cgelsd(m, n, nrhs, a, lda, b, ldb, s, rcond, rank, work, lwork, rwork, iwork, info)
CGELSD computes the minimum-norm solution to a linear least squares problem for GE matrices
Definition cgelsd.f:219
cgelss
subroutine cgelss(m, n, nrhs, a, lda, b, ldb, s, rcond, rank, work, lwork, rwork, info)
CGELSS solves overdetermined or underdetermined systems for GE matrices
Definition cgelss.f:178
cgelst
subroutine cgelst(trans, m, n, nrhs, a, lda, b, ldb, work, lwork, info)
CGELST solves overdetermined or underdetermined systems for GE matrices using QR or LQ factorization ...
Definition cgelst.f:194
cgelsy
subroutine cgelsy(m, n, nrhs, a, lda, b, ldb, jpvt, rcond, rank, work, lwork, rwork, info)
CGELSY solves overdetermined or underdetermined systems for GE matrices
Definition cgelsy.f:212
cgetsls
subroutine cgetsls(trans, m, n, nrhs, a, lda, b, ldb, work, lwork, info)
CGETSLS
Definition cgetsls.f:162
lsamen
logical function lsamen(n, ca, cb)
LSAMEN
Definition lsamen.f:74
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