LAPACK  3.8.0 LAPACK: Linear Algebra PACKage

◆ ddrvab()

 subroutine ddrvab ( logical, dimension( * ) DOTYPE, integer NM, integer, dimension( * ) MVAL, integer NNS, integer, dimension( * ) NSVAL, double precision THRESH, integer NMAX, double precision, dimension( * ) A, double precision, dimension( * ) AFAC, double precision, dimension( * ) B, double precision, dimension( * ) X, double precision, dimension( * ) WORK, double precision, dimension( * ) RWORK, real, dimension(*) SWORK, integer, dimension( * ) IWORK, integer NOUT )

DDRVAB

Purpose:
` DDRVAB tests DSGESV`
Parameters
 [in] DOTYPE ``` DOTYPE is LOGICAL array, dimension (NTYPES) The matrix types to be used for testing. Matrices of type j (for 1 <= j <= NTYPES) are used for testing if DOTYPE(j) = .TRUE.; if DOTYPE(j) = .FALSE., then type j is not used.``` [in] NM ``` NM is INTEGER The number of values of M contained in the vector MVAL.``` [in] MVAL ``` MVAL is INTEGER array, dimension (NM) The values of the matrix row dimension M.``` [in] NNS ``` NNS is INTEGER The number of values of NRHS contained in the vector NSVAL.``` [in] NSVAL ``` NSVAL is INTEGER array, dimension (NNS) The values of the number of right hand sides NRHS.``` [in] THRESH ``` THRESH is DOUBLE PRECISION The threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. To have every test ratio printed, use THRESH = 0.``` [in] NMAX ``` NMAX is INTEGER The maximum value permitted for M or N, used in dimensioning the work arrays.``` [out] A ` A is DOUBLE PRECISION array, dimension (NMAX*NMAX)` [out] AFAC ` AFAC is DOUBLE PRECISION array, dimension (NMAX*NMAX)` [out] B ``` B is DOUBLE PRECISION array, dimension (NMAX*NSMAX) where NSMAX is the largest entry in NSVAL.``` [out] X ` X is DOUBLE PRECISION array, dimension (NMAX*NSMAX)` [out] WORK ``` WORK is DOUBLE PRECISION array, dimension (NMAX*max(3,NSMAX))``` [out] RWORK ``` RWORK is DOUBLE PRECISION array, dimension (max(2*NMAX,2*NSMAX+NWORK))``` [out] SWORK ``` SWORK is REAL array, dimension (NMAX*(NSMAX+NMAX))``` [out] IWORK ``` IWORK is INTEGER array, dimension NMAX``` [in] NOUT ``` NOUT is INTEGER The unit number for output.```
Date
December 2016

Definition at line 153 of file ddrvab.f.

153 *
154 * -- LAPACK test routine (version 3.7.0) --
155 * -- LAPACK is a software package provided by Univ. of Tennessee, --
156 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
157 * December 2016
158 *
159 * .. Scalar Arguments ..
160  INTEGER nm, nmax, nns, nout
161  DOUBLE PRECISION thresh
162 * ..
163 * .. Array Arguments ..
164  LOGICAL dotype( * )
165  INTEGER mval( * ), nsval( * ), iwork( * )
166  REAL swork(*)
167  DOUBLE PRECISION a( * ), afac( * ), b( * ),
168  \$ rwork( * ), work( * ), x( * )
169 * ..
170 *
171 * =====================================================================
172 *
173 * .. Parameters ..
174  DOUBLE PRECISION zero
175  parameter( zero = 0.0d+0 )
176  INTEGER ntypes
177  parameter( ntypes = 11 )
178  INTEGER ntests
179  parameter( ntests = 1 )
180 * ..
181 * .. Local Scalars ..
182  LOGICAL zerot
183  CHARACTER dist, trans, TYPE, xtype
184  CHARACTER*3 path
185  INTEGER i, im, imat, info, ioff, irhs,
186  \$ izero, kl, ku, lda, m, mode, n,
187  \$ nerrs, nfail, nimat, nrhs, nrun
188  DOUBLE PRECISION anorm, cndnum
189 * ..
190 * .. Local Arrays ..
191  INTEGER iseed( 4 ), iseedy( 4 )
192  DOUBLE PRECISION result( ntests )
193 * ..
194 * .. Local Variables ..
195  INTEGER iter, kase
196 * ..
197 * .. External Subroutines ..
198  EXTERNAL alaerh, alahd, dget08, dlacpy, dlarhs, dlaset,
199  \$ dlatb4, dlatms
200 * ..
201 * .. Intrinsic Functions ..
202  INTRINSIC dble, max, min, sqrt
203 * ..
204 * .. Scalars in Common ..
205  LOGICAL lerr, ok
206  CHARACTER*32 srnamt
207  INTEGER infot, nunit
208 * ..
209 * .. Common blocks ..
210  COMMON / infoc / infot, nunit, ok, lerr
211  COMMON / srnamc / srnamt
212 * ..
213 * .. Data statements ..
214  DATA iseedy / 2006, 2007, 2008, 2009 /
215 * ..
216 * .. Executable Statements ..
217 *
218 * Initialize constants and the random number seed.
219 *
220  kase = 0
221  path( 1: 1 ) = 'Double precision'
222  path( 2: 3 ) = 'GE'
223  nrun = 0
224  nfail = 0
225  nerrs = 0
226  DO 10 i = 1, 4
227  iseed( i ) = iseedy( i )
228  10 CONTINUE
229 *
230  infot = 0
231 *
232 * Do for each value of M in MVAL
233 *
234  DO 120 im = 1, nm
235  m = mval( im )
236  lda = max( 1, m )
237 *
238  n = m
239  nimat = ntypes
240  IF( m.LE.0 .OR. n.LE.0 )
241  \$ nimat = 1
242 *
243  DO 100 imat = 1, nimat
244 *
245 * Do the tests only if DOTYPE( IMAT ) is true.
246 *
247  IF( .NOT.dotype( imat ) )
248  \$ GO TO 100
249 *
250 * Skip types 5, 6, or 7 if the matrix size is too small.
251 *
252  zerot = imat.GE.5 .AND. imat.LE.7
253  IF( zerot .AND. n.LT.imat-4 )
254  \$ GO TO 100
255 *
256 * Set up parameters with DLATB4 and generate a test matrix
257 * with DLATMS.
258 *
259  CALL dlatb4( path, imat, m, n, TYPE, kl, ku, anorm, mode,
260  \$ cndnum, dist )
261 *
262  srnamt = 'DLATMS'
263  CALL dlatms( m, n, dist, iseed, TYPE, rwork, mode,
264  \$ cndnum, anorm, kl, ku, 'No packing', a, lda,
265  \$ work, info )
266 *
267 * Check error code from DLATMS.
268 *
269  IF( info.NE.0 ) THEN
270  CALL alaerh( path, 'DLATMS', info, 0, ' ', m, n, -1,
271  \$ -1, -1, imat, nfail, nerrs, nout )
272  GO TO 100
273  END IF
274 *
275 * For types 5-7, zero one or more columns of the matrix to
276 * test that INFO is returned correctly.
277 *
278  IF( zerot ) THEN
279  IF( imat.EQ.5 ) THEN
280  izero = 1
281  ELSE IF( imat.EQ.6 ) THEN
282  izero = min( m, n )
283  ELSE
284  izero = min( m, n ) / 2 + 1
285  END IF
286  ioff = ( izero-1 )*lda
287  IF( imat.LT.7 ) THEN
288  DO 20 i = 1, m
289  a( ioff+i ) = zero
290  20 CONTINUE
291  ELSE
292  CALL dlaset( 'Full', m, n-izero+1, zero, zero,
293  \$ a( ioff+1 ), lda )
294  END IF
295  ELSE
296  izero = 0
297  END IF
298 *
299  DO 60 irhs = 1, nns
300  nrhs = nsval( irhs )
301  xtype = 'N'
302  trans = 'N'
303 *
304  srnamt = 'DLARHS'
305  CALL dlarhs( path, xtype, ' ', trans, n, n, kl,
306  \$ ku, nrhs, a, lda, x, lda, b,
307  \$ lda, iseed, info )
308 *
309  srnamt = 'DSGESV'
310 *
311  kase = kase + 1
312 *
313  CALL dlacpy( 'Full', m, n, a, lda, afac, lda )
314 *
315  CALL dsgesv( n, nrhs, a, lda, iwork, b, lda, x, lda,
316  \$ work, swork, iter, info)
317 *
318  IF (iter.LT.0) THEN
319  CALL dlacpy( 'Full', m, n, afac, lda, a, lda )
320  ENDIF
321 *
322 * Check error code from DSGESV. This should be the same as
323 * the one of DGETRF.
324 *
325  IF( info.NE.izero ) THEN
326 *
327  IF( nfail.EQ.0 .AND. nerrs.EQ.0 )
328  \$ CALL alahd( nout, path )
329  nerrs = nerrs + 1
330 *
331  IF( info.NE.izero .AND. izero.NE.0 ) THEN
332  WRITE( nout, fmt = 9988 )'DSGESV',info,
333  \$ izero,m,imat
334  ELSE
335  WRITE( nout, fmt = 9975 )'DSGESV',info,
336  \$ m, imat
337  END IF
338  END IF
339 *
340 * Skip the remaining test if the matrix is singular.
341 *
342  IF( info.NE.0 )
343  \$ GO TO 100
344 *
345 * Check the quality of the solution
346 *
347  CALL dlacpy( 'Full', n, nrhs, b, lda, work, lda )
348 *
349  CALL dget08( trans, n, n, nrhs, a, lda, x, lda, work,
350  \$ lda, rwork, result( 1 ) )
351 *
352 * Check if the test passes the tesing.
353 * Print information about the tests that did not
354 * pass the testing.
355 *
356 * If iterative refinement has been used and claimed to
357 * be successful (ITER>0), we want
358 * NORMI(B - A*X)/(NORMI(A)*NORMI(X)*EPS*SRQT(N)) < 1
359 *
360 * If double precision has been used (ITER<0), we want
361 * NORMI(B - A*X)/(NORMI(A)*NORMI(X)*EPS) < THRES
362 * (Cf. the linear solver testing routines)
363 *
364  IF ((thresh.LE.0.0e+00)
365  \$ .OR.((iter.GE.0).AND.(n.GT.0)
366  \$ .AND.(result(1).GE.sqrt(dble(n))))
367  \$ .OR.((iter.LT.0).AND.(result(1).GE.thresh))) THEN
368 *
369  IF( nfail.EQ.0 .AND. nerrs.EQ.0 ) THEN
370  WRITE( nout, fmt = 8999 )'DGE'
371  WRITE( nout, fmt = '( '' Matrix types:'' )' )
372  WRITE( nout, fmt = 8979 )
373  WRITE( nout, fmt = '( '' Test ratios:'' )' )
374  WRITE( nout, fmt = 8960 )1
375  WRITE( nout, fmt = '( '' Messages:'' )' )
376  END IF
377 *
378  WRITE( nout, fmt = 9998 )trans, n, nrhs,
379  \$ imat, 1, result( 1 )
380  nfail = nfail + 1
381  END IF
382  nrun = nrun + 1
383  60 CONTINUE
384  100 CONTINUE
385  120 CONTINUE
386 *
387 * Print a summary of the results.
388 *
389  IF( nfail.GT.0 ) THEN
390  WRITE( nout, fmt = 9996 )'DSGESV', nfail, nrun
391  ELSE
392  WRITE( nout, fmt = 9995 )'DSGESV', nrun
393  END IF
394  IF( nerrs.GT.0 ) THEN
395  WRITE( nout, fmt = 9994 )nerrs
396  END IF
397 *
398  9998 FORMAT( ' TRANS=''', a1, ''', N =', i5, ', NRHS=', i3, ', type ',
399  \$ i2, ', test(', i2, ') =', g12.5 )
400  9996 FORMAT( 1x, a6, ': ', i6, ' out of ', i6,
401  \$ ' tests failed to pass the threshold' )
402  9995 FORMAT( /1x, 'All tests for ', a6,
403  \$ ' routines passed the threshold ( ', i6, ' tests run)' )
404  9994 FORMAT( 6x, i6, ' error messages recorded' )
405 *
406 * SUBNAM, INFO, INFOE, M, IMAT
407 *
408  9988 FORMAT( ' *** ', a6, ' returned with INFO =', i5, ' instead of ',
409  \$ i5, / ' ==> M =', i5, ', type ',
410  \$ i2 )
411 *
412 * SUBNAM, INFO, M, IMAT
413 *
414  9975 FORMAT( ' *** Error code from ', a6, '=', i5, ' for M=', i5,
415  \$ ', type ', i2 )
416  8999 FORMAT( / 1x, a3, ': General dense matrices' )
417  8979 FORMAT( 4x, '1. Diagonal', 24x, '7. Last n/2 columns zero', / 4x,
418  \$ '2. Upper triangular', 16x,
419  \$ '8. Random, CNDNUM = sqrt(0.1/EPS)', / 4x,
420  \$ '3. Lower triangular', 16x, '9. Random, CNDNUM = 0.1/EPS',
421  \$ / 4x, '4. Random, CNDNUM = 2', 13x,
422  \$ '10. Scaled near underflow', / 4x, '5. First column zero',
423  \$ 14x, '11. Scaled near overflow', / 4x,
424  \$ '6. Last column zero' )
425  8960 FORMAT( 3x, i2, ': norm_1( B - A * X ) / ',
426  \$ '( norm_1(A) * norm_1(X) * EPS * SQRT(N) ) > 1 if ITERREF',
427  \$ / 4x, 'or norm_1( B - A * X ) / ',
428  \$ '( norm_1(A) * norm_1(X) * EPS ) > THRES if DGETRF' )
429  RETURN
430 *
431 * End of DDRVAB
432 *
subroutine dlacpy(UPLO, M, N, A, LDA, B, LDB)
DLACPY copies all or part of one two-dimensional array to another.
Definition: dlacpy.f:105
subroutine dlatb4(PATH, IMAT, M, N, TYPE, KL, KU, ANORM, MODE, CNDNUM, DIST)
DLATB4
Definition: dlatb4.f:122
subroutine alahd(IOUNIT, PATH)
ALAHD
Definition: alahd.f:107
subroutine alaerh(PATH, SUBNAM, INFO, INFOE, OPTS, M, N, KL, KU, N5, IMAT, NFAIL, NERRS, NOUT)
ALAERH
Definition: alaerh.f:149
subroutine dget08(TRANS, M, N, NRHS, A, LDA, X, LDX, B, LDB, RWORK, RESID)
DGET08
Definition: dget08.f:135
subroutine dlarhs(PATH, XTYPE, UPLO, TRANS, M, N, KL, KU, NRHS, A, LDA, X, LDX, B, LDB, ISEED, INFO)
DLARHS
Definition: dlarhs.f:206
subroutine dsgesv(N, NRHS, A, LDA, IPIV, B, LDB, X, LDX, WORK, SWORK, ITER, INFO)
DSGESV computes the solution to system of linear equations A * X = B for GE matrices (mixed precisio...
Definition: dsgesv.f:197
subroutine dlatms(M, N, DIST, ISEED, SYM, D, MODE, COND, DMAX, KL, KU, PACK, A, LDA, WORK, INFO)
DLATMS
Definition: dlatms.f:323
subroutine dlaset(UPLO, M, N, ALPHA, BETA, A, LDA)
DLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values...
Definition: dlaset.f:112
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