LAPACK  3.7.0
LAPACK: Linear Algebra PACKage
schksy_rook.f
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1 *> \brief \b SCHKSY_ROOK
2 *
3 * =========== DOCUMENTATION ===========
4 *
5 * Online html documentation available at
6 * http://www.netlib.org/lapack/explore-html/
7 *
8 * Definition:
9 * ===========
10 *
11 * SUBROUTINE SCHKSY_ROOK( DOTYPE, NN, NVAL, NNB, NBVAL, NNS, NSVAL,
12 * THRESH, TSTERR, NMAX, A, AFAC, AINV, B, X,
13 * XACT, WORK, RWORK, IWORK, NOUT )
14 *
15 * .. Scalar Arguments ..
16 * LOGICAL TSTERR
17 * INTEGER NMAX, NN, NNB, NNS, NOUT
18 * REAL THRESH
19 * ..
20 * .. Array Arguments ..
21 * LOGICAL DOTYPE( * )
22 * INTEGER IWORK( * ), NBVAL( * ), NSVAL( * ), NVAL( * )
23 * REAL A( * ), AFAC( * ), AINV( * ), B( * ),
24 * $ RWORK( * ), WORK( * ), X( * ), XACT( * )
25 * ..
26 *
27 *
28 *> \par Purpose:
29 * =============
30 *>
31 *> \verbatim
32 *>
33 *> SCHKSY_ROOK tests SSYTRF_ROOK, -TRI_ROOK, -TRS_ROOK,
34 *> and -CON_ROOK.
35 *> \endverbatim
36 *
37 * Arguments:
38 * ==========
39 *
40 *> \param[in] DOTYPE
41 *> \verbatim
42 *> DOTYPE is LOGICAL array, dimension (NTYPES)
43 *> The matrix types to be used for testing. Matrices of type j
44 *> (for 1 <= j <= NTYPES) are used for testing if DOTYPE(j) =
45 *> .TRUE.; if DOTYPE(j) = .FALSE., then type j is not used.
46 *> \endverbatim
47 *>
48 *> \param[in] NN
49 *> \verbatim
50 *> NN is INTEGER
51 *> The number of values of N contained in the vector NVAL.
52 *> \endverbatim
53 *>
54 *> \param[in] NVAL
55 *> \verbatim
56 *> NVAL is INTEGER array, dimension (NN)
57 *> The values of the matrix dimension N.
58 *> \endverbatim
59 *>
60 *> \param[in] NNB
61 *> \verbatim
62 *> NNB is INTEGER
63 *> The number of values of NB contained in the vector NBVAL.
64 *> \endverbatim
65 *>
66 *> \param[in] NBVAL
67 *> \verbatim
68 *> NBVAL is INTEGER array, dimension (NBVAL)
69 *> The values of the blocksize NB.
70 *> \endverbatim
71 *>
72 *> \param[in] NNS
73 *> \verbatim
74 *> NNS is INTEGER
75 *> The number of values of NRHS contained in the vector NSVAL.
76 *> \endverbatim
77 *>
78 *> \param[in] NSVAL
79 *> \verbatim
80 *> NSVAL is INTEGER array, dimension (NNS)
81 *> The values of the number of right hand sides NRHS.
82 *> \endverbatim
83 *>
84 *> \param[in] THRESH
85 *> \verbatim
86 *> THRESH is REAL
87 *> The threshold value for the test ratios. A result is
88 *> included in the output file if RESULT >= THRESH. To have
89 *> every test ratio printed, use THRESH = 0.
90 *> \endverbatim
91 *>
92 *> \param[in] TSTERR
93 *> \verbatim
94 *> TSTERR is LOGICAL
95 *> Flag that indicates whether error exits are to be tested.
96 *> \endverbatim
97 *>
98 *> \param[in] NMAX
99 *> \verbatim
100 *> NMAX is INTEGER
101 *> The maximum value permitted for N, used in dimensioning the
102 *> work arrays.
103 *> \endverbatim
104 *>
105 *> \param[out] A
106 *> \verbatim
107 *> A is REAL array, dimension (NMAX*NMAX)
108 *> \endverbatim
109 *>
110 *> \param[out] AFAC
111 *> \verbatim
112 *> AFAC is REAL array, dimension (NMAX*NMAX)
113 *> \endverbatim
114 *>
115 *> \param[out] AINV
116 *> \verbatim
117 *> AINV is REAL array, dimension (NMAX*NMAX)
118 *> \endverbatim
119 *>
120 *> \param[out] B
121 *> \verbatim
122 *> B is REAL array, dimension (NMAX*NSMAX)
123 *> where NSMAX is the largest entry in NSVAL.
124 *> \endverbatim
125 *>
126 *> \param[out] X
127 *> \verbatim
128 *> X is REAL array, dimension (NMAX*NSMAX)
129 *> \endverbatim
130 *>
131 *> \param[out] XACT
132 *> \verbatim
133 *> XACT is REAL array, dimension (NMAX*NSMAX)
134 *> \endverbatim
135 *>
136 *> \param[out] WORK
137 *> \verbatim
138 *> WORK is REAL array, dimension (NMAX*max(3,NSMAX))
139 *> \endverbatim
140 *>
141 *> \param[out] RWORK
142 *> \verbatim
143 *> RWORK is REAL array, dimension (max(NMAX,2*NSMAX))
144 *> \endverbatim
145 *>
146 *> \param[out] IWORK
147 *> \verbatim
148 *> IWORK is INTEGER array, dimension (2*NMAX)
149 *> \endverbatim
150 *>
151 *> \param[in] NOUT
152 *> \verbatim
153 *> NOUT is INTEGER
154 *> The unit number for output.
155 *> \endverbatim
156 *
157 * Authors:
158 * ========
159 *
160 *> \author Univ. of Tennessee
161 *> \author Univ. of California Berkeley
162 *> \author Univ. of Colorado Denver
163 *> \author NAG Ltd.
164 *
165 *> \date December 2016
166 *
167 *> \ingroup single_lin
168 *
169 * =====================================================================
170  SUBROUTINE schksy_rook( DOTYPE, NN, NVAL, NNB, NBVAL, NNS, NSVAL,
171  $ thresh, tsterr, nmax, a, afac, ainv, b, x,
172  $ xact, work, rwork, iwork, nout )
173 *
174 * -- LAPACK test routine (version 3.7.0) --
175 * -- LAPACK is a software package provided by Univ. of Tennessee, --
176 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
177 * December 2016
178 *
179 * .. Scalar Arguments ..
180  LOGICAL TSTERR
181  INTEGER NMAX, NN, NNB, NNS, NOUT
182  REAL THRESH
183 * ..
184 * .. Array Arguments ..
185  LOGICAL DOTYPE( * )
186  INTEGER IWORK( * ), NBVAL( * ), NSVAL( * ), NVAL( * )
187  REAL A( * ), AFAC( * ), AINV( * ), B( * ),
188  $ rwork( * ), work( * ), x( * ), xact( * )
189 * ..
190 *
191 * =====================================================================
192 *
193 * .. Parameters ..
194  REAL ZERO, ONE
195  parameter ( zero = 0.0d+0, one = 1.0d+0 )
196  REAL EIGHT, SEVTEN
197  parameter ( eight = 8.0d+0, sevten = 17.0d+0 )
198  INTEGER NTYPES
199  parameter ( ntypes = 10 )
200  INTEGER NTESTS
201  parameter ( ntests = 7 )
202 * ..
203 * .. Local Scalars ..
204  LOGICAL TRFCON, ZEROT
205  CHARACTER DIST, TYPE, UPLO, XTYPE
206  CHARACTER*3 PATH, MATPATH
207  INTEGER I, I1, I2, IMAT, IN, INB, INFO, IOFF, IRHS,
208  $ iuplo, izero, j, k, kl, ku, lda, lwork, mode,
209  $ n, nb, nerrs, nfail, nimat, nrhs, nrun, nt
210  REAL ALPHA, ANORM, CNDNUM, CONST, SING_MAX,
211  $ sing_min, rcond, rcondc, stemp
212 * ..
213 * .. Local Arrays ..
214  CHARACTER UPLOS( 2 )
215  INTEGER ISEED( 4 ), ISEEDY( 4 )
216  REAL BLOCK( 2, 2 ), RESULT( ntests ), SDUMMY( 1 )
217 * ..
218 * .. External Functions ..
219  REAL SGET06, SLANGE, SLANSY
220  EXTERNAL sget06, slange, slansy
221 * ..
222 * .. External Subroutines ..
223  EXTERNAL alaerh, alahd, alasum, serrsy, sget04, slacpy,
224  $ slarhs, slatb4, slatms, spot02, spot03, sgesvd,
225  $ ssycon_rook, ssyt01_rook, ssytrf_rook,
226  $ ssytri_rook, ssytrs_rook, xlaenv
227 * ..
228 * .. Intrinsic Functions ..
229  INTRINSIC max, min, sqrt
230 * ..
231 * .. Scalars in Common ..
232  LOGICAL LERR, OK
233  CHARACTER*32 SRNAMT
234  INTEGER INFOT, NUNIT
235 * ..
236 * .. Common blocks ..
237  COMMON / infoc / infot, nunit, ok, lerr
238  COMMON / srnamc / srnamt
239 * ..
240 * .. Data statements ..
241  DATA iseedy / 1988, 1989, 1990, 1991 /
242  DATA uplos / 'U', 'L' /
243 * ..
244 * .. Executable Statements ..
245 *
246 * Initialize constants and the random number seed.
247 *
248  alpha = ( one+sqrt( sevten ) ) / eight
249 *
250 * Test path
251 *
252  path( 1: 1 ) = 'Single precision'
253  path( 2: 3 ) = 'SR'
254 *
255 * Path to generate matrices
256 *
257  matpath( 1: 1 ) = 'Single precision'
258  matpath( 2: 3 ) = 'SY'
259 *
260  nrun = 0
261  nfail = 0
262  nerrs = 0
263  DO 10 i = 1, 4
264  iseed( i ) = iseedy( i )
265  10 CONTINUE
266 *
267 * Test the error exits
268 *
269  IF( tsterr )
270  $ CALL serrsy( path, nout )
271  infot = 0
272 *
273 * Set the minimum block size for which the block routine should
274 * be used, which will be later returned by ILAENV
275 *
276  CALL xlaenv( 2, 2 )
277 *
278 * Do for each value of N in NVAL
279 *
280  DO 270 in = 1, nn
281  n = nval( in )
282  lda = max( n, 1 )
283  xtype = 'N'
284  nimat = ntypes
285  IF( n.LE.0 )
286  $ nimat = 1
287 *
288  izero = 0
289 *
290 * Do for each value of matrix type IMAT
291 *
292  DO 260 imat = 1, nimat
293 *
294 * Do the tests only if DOTYPE( IMAT ) is true.
295 *
296  IF( .NOT.dotype( imat ) )
297  $ GO TO 260
298 *
299 * Skip types 3, 4, 5, or 6 if the matrix size is too small.
300 *
301  zerot = imat.GE.3 .AND. imat.LE.6
302  IF( zerot .AND. n.LT.imat-2 )
303  $ GO TO 260
304 *
305 * Do first for UPLO = 'U', then for UPLO = 'L'
306 *
307  DO 250 iuplo = 1, 2
308  uplo = uplos( iuplo )
309 *
310 * Begin generate the test matrix A.
311 *
312 * Set up parameters with SLATB4 for the matrix generator
313 * based on the type of matrix to be generated.
314 *
315  CALL slatb4( matpath, imat, n, n, TYPE, KL, KU, ANORM,
316  $ mode, cndnum, dist )
317 *
318 * Generate a matrix with SLATMS.
319 *
320  srnamt = 'SLATMS'
321  CALL slatms( n, n, dist, iseed, TYPE, RWORK, MODE,
322  $ cndnum, anorm, kl, ku, uplo, a, lda, work,
323  $ info )
324 *
325 * Check error code from SLATMS and handle error.
326 *
327  IF( info.NE.0 ) THEN
328  CALL alaerh( path, 'SLATMS', info, 0, uplo, n, n, -1,
329  $ -1, -1, imat, nfail, nerrs, nout )
330 *
331 * Skip all tests for this generated matrix
332 *
333  GO TO 250
334  END IF
335 *
336 * For matrix types 3-6, zero one or more rows and
337 * columns of the matrix to test that INFO is returned
338 * correctly.
339 *
340  IF( zerot ) THEN
341  IF( imat.EQ.3 ) THEN
342  izero = 1
343  ELSE IF( imat.EQ.4 ) THEN
344  izero = n
345  ELSE
346  izero = n / 2 + 1
347  END IF
348 *
349  IF( imat.LT.6 ) THEN
350 *
351 * Set row and column IZERO to zero.
352 *
353  IF( iuplo.EQ.1 ) THEN
354  ioff = ( izero-1 )*lda
355  DO 20 i = 1, izero - 1
356  a( ioff+i ) = zero
357  20 CONTINUE
358  ioff = ioff + izero
359  DO 30 i = izero, n
360  a( ioff ) = zero
361  ioff = ioff + lda
362  30 CONTINUE
363  ELSE
364  ioff = izero
365  DO 40 i = 1, izero - 1
366  a( ioff ) = zero
367  ioff = ioff + lda
368  40 CONTINUE
369  ioff = ioff - izero
370  DO 50 i = izero, n
371  a( ioff+i ) = zero
372  50 CONTINUE
373  END IF
374  ELSE
375  IF( iuplo.EQ.1 ) THEN
376 *
377 * Set the first IZERO rows and columns to zero.
378 *
379  ioff = 0
380  DO 70 j = 1, n
381  i2 = min( j, izero )
382  DO 60 i = 1, i2
383  a( ioff+i ) = zero
384  60 CONTINUE
385  ioff = ioff + lda
386  70 CONTINUE
387  ELSE
388 *
389 * Set the last IZERO rows and columns to zero.
390 *
391  ioff = 0
392  DO 90 j = 1, n
393  i1 = max( j, izero )
394  DO 80 i = i1, n
395  a( ioff+i ) = zero
396  80 CONTINUE
397  ioff = ioff + lda
398  90 CONTINUE
399  END IF
400  END IF
401  ELSE
402  izero = 0
403  END IF
404 *
405 * End generate the test matrix A.
406 *
407 *
408 * Do for each value of NB in NBVAL
409 *
410  DO 240 inb = 1, nnb
411 *
412 * Set the optimal blocksize, which will be later
413 * returned by ILAENV.
414 *
415  nb = nbval( inb )
416  CALL xlaenv( 1, nb )
417 *
418 * Copy the test matrix A into matrix AFAC which
419 * will be factorized in place. This is needed to
420 * preserve the test matrix A for subsequent tests.
421 *
422  CALL slacpy( uplo, n, n, a, lda, afac, lda )
423 *
424 * Compute the L*D*L**T or U*D*U**T factorization of the
425 * matrix. IWORK stores details of the interchanges and
426 * the block structure of D. AINV is a work array for
427 * block factorization, LWORK is the length of AINV.
428 *
429  lwork = max( 2, nb )*lda
430  srnamt = 'SSYTRF_ROOK'
431  CALL ssytrf_rook( uplo, n, afac, lda, iwork, ainv,
432  $ lwork, info )
433 *
434 * Adjust the expected value of INFO to account for
435 * pivoting.
436 *
437  k = izero
438  IF( k.GT.0 ) THEN
439  100 CONTINUE
440  IF( iwork( k ).LT.0 ) THEN
441  IF( iwork( k ).NE.-k ) THEN
442  k = -iwork( k )
443  GO TO 100
444  END IF
445  ELSE IF( iwork( k ).NE.k ) THEN
446  k = iwork( k )
447  GO TO 100
448  END IF
449  END IF
450 *
451 * Check error code from SSYTRF_ROOK and handle error.
452 *
453  IF( info.NE.k)
454  $ CALL alaerh( path, 'SSYTRF_ROOK', info, k,
455  $ uplo, n, n, -1, -1, nb, imat,
456  $ nfail, nerrs, nout )
457 *
458 * Set the condition estimate flag if the INFO is not 0.
459 *
460  IF( info.NE.0 ) THEN
461  trfcon = .true.
462  ELSE
463  trfcon = .false.
464  END IF
465 *
466 *+ TEST 1
467 * Reconstruct matrix from factors and compute residual.
468 *
469  CALL ssyt01_rook( uplo, n, a, lda, afac, lda, iwork,
470  $ ainv, lda, rwork, result( 1 ) )
471  nt = 1
472 *
473 *+ TEST 2
474 * Form the inverse and compute the residual,
475 * if the factorization was competed without INFO > 0
476 * (i.e. there is no zero rows and columns).
477 * Do it only for the first block size.
478 *
479  IF( inb.EQ.1 .AND. .NOT.trfcon ) THEN
480  CALL slacpy( uplo, n, n, afac, lda, ainv, lda )
481  srnamt = 'SSYTRI_ROOK'
482  CALL ssytri_rook( uplo, n, ainv, lda, iwork, work,
483  $ info )
484 *
485 * Check error code from SSYTRI_ROOK and handle error.
486 *
487  IF( info.NE.0 )
488  $ CALL alaerh( path, 'SSYTRI_ROOK', info, -1,
489  $ uplo, n, n, -1, -1, -1, imat,
490  $ nfail, nerrs, nout )
491 *
492 * Compute the residual for a symmetric matrix times
493 * its inverse.
494 *
495  CALL spot03( uplo, n, a, lda, ainv, lda, work, lda,
496  $ rwork, rcondc, result( 2 ) )
497  nt = 2
498  END IF
499 *
500 * Print information about the tests that did not pass
501 * the threshold.
502 *
503  DO 110 k = 1, nt
504  IF( result( k ).GE.thresh ) THEN
505  IF( nfail.EQ.0 .AND. nerrs.EQ.0 )
506  $ CALL alahd( nout, path )
507  WRITE( nout, fmt = 9999 )uplo, n, nb, imat, k,
508  $ result( k )
509  nfail = nfail + 1
510  END IF
511  110 CONTINUE
512  nrun = nrun + nt
513 *
514 *+ TEST 3
515 * Compute largest element in U or L
516 *
517  result( 3 ) = zero
518  stemp = zero
519 *
520  const = one / ( one-alpha )
521 *
522  IF( iuplo.EQ.1 ) THEN
523 *
524 * Compute largest element in U
525 *
526  k = n
527  120 CONTINUE
528  IF( k.LE.1 )
529  $ GO TO 130
530 *
531  IF( iwork( k ).GT.zero ) THEN
532 *
533 * Get max absolute value from elements
534 * in column k in in U
535 *
536  stemp = slange( 'M', k-1, 1,
537  $ afac( ( k-1 )*lda+1 ), lda, rwork )
538  ELSE
539 *
540 * Get max absolute value from elements
541 * in columns k and k-1 in U
542 *
543  stemp = slange( 'M', k-2, 2,
544  $ afac( ( k-2 )*lda+1 ), lda, rwork )
545  k = k - 1
546 *
547  END IF
548 *
549 * STEMP should be bounded by CONST
550 *
551  stemp = stemp - const + thresh
552  IF( stemp.GT.result( 3 ) )
553  $ result( 3 ) = stemp
554 *
555  k = k - 1
556 *
557  GO TO 120
558  130 CONTINUE
559 *
560  ELSE
561 *
562 * Compute largest element in L
563 *
564  k = 1
565  140 CONTINUE
566  IF( k.GE.n )
567  $ GO TO 150
568 *
569  IF( iwork( k ).GT.zero ) THEN
570 *
571 * Get max absolute value from elements
572 * in column k in in L
573 *
574  stemp = slange( 'M', n-k, 1,
575  $ afac( ( k-1 )*lda+k+1 ), lda, rwork )
576  ELSE
577 *
578 * Get max absolute value from elements
579 * in columns k and k+1 in L
580 *
581  stemp = slange( 'M', n-k-1, 2,
582  $ afac( ( k-1 )*lda+k+2 ), lda, rwork )
583  k = k + 1
584 *
585  END IF
586 *
587 * STEMP should be bounded by CONST
588 *
589  stemp = stemp - const + thresh
590  IF( stemp.GT.result( 3 ) )
591  $ result( 3 ) = stemp
592 *
593  k = k + 1
594 *
595  GO TO 140
596  150 CONTINUE
597  END IF
598 *
599 *
600 *+ TEST 4
601 * Compute largest 2-Norm (condition number)
602 * of 2-by-2 diag blocks
603 *
604  result( 4 ) = zero
605  stemp = zero
606 *
607  const = ( one+alpha ) / ( one-alpha )
608  CALL slacpy( uplo, n, n, afac, lda, ainv, lda )
609 *
610  IF( iuplo.EQ.1 ) THEN
611 *
612 * Loop backward for UPLO = 'U'
613 *
614  k = n
615  160 CONTINUE
616  IF( k.LE.1 )
617  $ GO TO 170
618 *
619  IF( iwork( k ).LT.zero ) THEN
620 *
621 * Get the two singular values
622 * (real and non-negative) of a 2-by-2 block,
623 * store them in RWORK array
624 *
625  block( 1, 1 ) = afac( ( k-2 )*lda+k-1 )
626  block( 1, 2 ) = afac( (k-1)*lda+k-1 )
627  block( 2, 1 ) = block( 1, 2 )
628  block( 2, 2 ) = afac( (k-1)*lda+k )
629 *
630  CALL sgesvd( 'N', 'N', 2, 2, block, 2, rwork,
631  $ sdummy, 1, sdummy, 1,
632  $ work, 10, info )
633 *
634 *
635  sing_max = rwork( 1 )
636  sing_min = rwork( 2 )
637 *
638  stemp = sing_max / sing_min
639 *
640 * STEMP should be bounded by CONST
641 *
642  stemp = stemp - const + thresh
643  IF( stemp.GT.result( 4 ) )
644  $ result( 4 ) = stemp
645  k = k - 1
646 *
647  END IF
648 *
649  k = k - 1
650 *
651  GO TO 160
652  170 CONTINUE
653 *
654  ELSE
655 *
656 * Loop forward for UPLO = 'L'
657 *
658  k = 1
659  180 CONTINUE
660  IF( k.GE.n )
661  $ GO TO 190
662 *
663  IF( iwork( k ).LT.zero ) THEN
664 *
665 * Get the two singular values
666 * (real and non-negative) of a 2-by-2 block,
667 * store them in RWORK array
668 *
669  block( 1, 1 ) = afac( ( k-1 )*lda+k )
670  block( 2, 1 ) = afac( ( k-1 )*lda+k+1 )
671  block( 1, 2 ) = block( 2, 1 )
672  block( 2, 2 ) = afac( k*lda+k+1 )
673 *
674  CALL sgesvd( 'N', 'N', 2, 2, block, 2, rwork,
675  $ sdummy, 1, sdummy, 1,
676  $ work, 10, info )
677 *
678 *
679  sing_max = rwork( 1 )
680  sing_min = rwork( 2 )
681 *
682  stemp = sing_max / sing_min
683 *
684 * STEMP should be bounded by CONST
685 *
686  stemp = stemp - const + thresh
687  IF( stemp.GT.result( 4 ) )
688  $ result( 4 ) = stemp
689  k = k + 1
690 *
691  END IF
692 *
693  k = k + 1
694 *
695  GO TO 180
696  190 CONTINUE
697  END IF
698 *
699 * Print information about the tests that did not pass
700 * the threshold.
701 *
702  DO 200 k = 3, 4
703  IF( result( k ).GE.thresh ) THEN
704  IF( nfail.EQ.0 .AND. nerrs.EQ.0 )
705  $ CALL alahd( nout, path )
706  WRITE( nout, fmt = 9999 )uplo, n, nb, imat, k,
707  $ result( k )
708  nfail = nfail + 1
709  END IF
710  200 CONTINUE
711  nrun = nrun + 2
712 *
713 * Skip the other tests if this is not the first block
714 * size.
715 *
716  IF( inb.GT.1 )
717  $ GO TO 240
718 *
719 * Do only the condition estimate if INFO is not 0.
720 *
721  IF( trfcon ) THEN
722  rcondc = zero
723  GO TO 230
724  END IF
725 *
726 * Do for each value of NRHS in NSVAL.
727 *
728  DO 220 irhs = 1, nns
729  nrhs = nsval( irhs )
730 *
731 *+ TEST 5 ( Using TRS_ROOK)
732 * Solve and compute residual for A * X = B.
733 *
734 * Choose a set of NRHS random solution vectors
735 * stored in XACT and set up the right hand side B
736 *
737  srnamt = 'SLARHS'
738  CALL slarhs( matpath, xtype, uplo, ' ', n, n,
739  $ kl, ku, nrhs, a, lda, xact, lda,
740  $ b, lda, iseed, info )
741  CALL slacpy( 'Full', n, nrhs, b, lda, x, lda )
742 *
743  srnamt = 'SSYTRS_ROOK'
744  CALL ssytrs_rook( uplo, n, nrhs, afac, lda, iwork,
745  $ x, lda, info )
746 *
747 * Check error code from SSYTRS_ROOK and handle error.
748 *
749  IF( info.NE.0 )
750  $ CALL alaerh( path, 'SSYTRS_ROOK', info, 0,
751  $ uplo, n, n, -1, -1, nrhs, imat,
752  $ nfail, nerrs, nout )
753 *
754  CALL slacpy( 'Full', n, nrhs, b, lda, work, lda )
755 *
756 * Compute the residual for the solution
757 *
758  CALL spot02( uplo, n, nrhs, a, lda, x, lda, work,
759  $ lda, rwork, result( 5 ) )
760 *
761 *+ TEST 6
762 * Check solution from generated exact solution.
763 *
764  CALL sget04( n, nrhs, x, lda, xact, lda, rcondc,
765  $ result( 6 ) )
766 *
767 * Print information about the tests that did not pass
768 * the threshold.
769 *
770  DO 210 k = 5, 6
771  IF( result( k ).GE.thresh ) THEN
772  IF( nfail.EQ.0 .AND. nerrs.EQ.0 )
773  $ CALL alahd( nout, path )
774  WRITE( nout, fmt = 9998 )uplo, n, nrhs,
775  $ imat, k, result( k )
776  nfail = nfail + 1
777  END IF
778  210 CONTINUE
779  nrun = nrun + 2
780 *
781 * End do for each value of NRHS in NSVAL.
782 *
783  220 CONTINUE
784 *
785 *+ TEST 7
786 * Get an estimate of RCOND = 1/CNDNUM.
787 *
788  230 CONTINUE
789  anorm = slansy( '1', uplo, n, a, lda, rwork )
790  srnamt = 'SSYCON_ROOK'
791  CALL ssycon_rook( uplo, n, afac, lda, iwork, anorm,
792  $ rcond, work, iwork( n+1 ), info )
793 *
794 * Check error code from SSYCON_ROOK and handle error.
795 *
796  IF( info.NE.0 )
797  $ CALL alaerh( path, 'SSYCON_ROOK', info, 0,
798  $ uplo, n, n, -1, -1, -1, imat,
799  $ nfail, nerrs, nout )
800 *
801 * Compute the test ratio to compare values of RCOND
802 *
803  result( 7 ) = sget06( rcond, rcondc )
804 *
805 * Print information about the tests that did not pass
806 * the threshold.
807 *
808  IF( result( 7 ).GE.thresh ) THEN
809  IF( nfail.EQ.0 .AND. nerrs.EQ.0 )
810  $ CALL alahd( nout, path )
811  WRITE( nout, fmt = 9997 )uplo, n, imat, 7,
812  $ result( 7 )
813  nfail = nfail + 1
814  END IF
815  nrun = nrun + 1
816  240 CONTINUE
817 *
818  250 CONTINUE
819  260 CONTINUE
820  270 CONTINUE
821 *
822 * Print a summary of the results.
823 *
824  CALL alasum( path, nout, nfail, nrun, nerrs )
825 *
826  9999 FORMAT( ' UPLO = ''', a1, ''', N =', i5, ', NB =', i4, ', type ',
827  $ i2, ', test ', i2, ', ratio =', g12.5 )
828  9998 FORMAT( ' UPLO = ''', a1, ''', N =', i5, ', NRHS=', i3, ', type ',
829  $ i2, ', test(', i2, ') =', g12.5 )
830  9997 FORMAT( ' UPLO = ''', a1, ''', N =', i5, ',', 10x, ' type ', i2,
831  $ ', test(', i2, ') =', g12.5 )
832  RETURN
833 *
834 * End of SCHKSY_ROOK
835 *
836  END
alahd
subroutine alahd(IOUNIT, PATH)
ALAHD
Definition: alahd.f:107
alaerh
subroutine alaerh(PATH, SUBNAM, INFO, INFOE, OPTS, M, N, KL, KU, N5, IMAT, NFAIL, NERRS, NOUT)
ALAERH
Definition: alaerh.f:149
slatb4
subroutine slatb4(PATH, IMAT, M, N, TYPE, KL, KU, ANORM, MODE, CNDNUM, DIST)
SLATB4
Definition: slatb4.f:122
ssytrf_rook
subroutine ssytrf_rook(UPLO, N, A, LDA, IPIV, WORK, LWORK, INFO)
SSYTRF_ROOK
Definition: ssytrf_rook.f:210
ssyt01_rook
subroutine ssyt01_rook(UPLO, N, A, LDA, AFAC, LDAFAC, IPIV, C, LDC, RWORK, RESID)
SSYT01_ROOK
Definition: ssyt01_rook.f:126
slarhs
subroutine slarhs(PATH, XTYPE, UPLO, TRANS, M, N, KL, KU, NRHS, A, LDA, X, LDX, B, LDB, ISEED, INFO)
SLARHS
Definition: slarhs.f:206
ssycon_rook
subroutine ssycon_rook(UPLO, N, A, LDA, IPIV, ANORM, RCOND, WORK, IWORK, INFO)
SSYCON_ROOK
Definition: ssycon_rook.f:146
xlaenv
subroutine xlaenv(ISPEC, NVALUE)
XLAENV
Definition: xlaenv.f:83
ssytri_rook
subroutine ssytri_rook(UPLO, N, A, LDA, IPIV, WORK, INFO)
SSYTRI_ROOK
Definition: ssytri_rook.f:131
slatms
subroutine slatms(M, N, DIST, ISEED, SYM, D, MODE, COND, DMAX, KL, KU, PACK, A, LDA, WORK, INFO)
SLATMS
Definition: slatms.f:323
sget04
subroutine sget04(N, NRHS, X, LDX, XACT, LDXACT, RCOND, RESID)
SGET04
Definition: sget04.f:104
spot03
subroutine spot03(UPLO, N, A, LDA, AINV, LDAINV, WORK, LDWORK, RWORK, RCOND, RESID)
SPOT03
Definition: spot03.f:127
ssytrs_rook
subroutine ssytrs_rook(UPLO, N, NRHS, A, LDA, IPIV, B, LDB, INFO)
SSYTRS_ROOK
Definition: ssytrs_rook.f:138
schksy_rook
subroutine schksy_rook(DOTYPE, NN, NVAL, NNB, NBVAL, NNS, NSVAL, THRESH, TSTERR, NMAX, A, AFAC, AINV, B, X, XACT, WORK, RWORK, IWORK, NOUT)
SCHKSY_ROOK
Definition: schksy_rook.f:173
serrsy
subroutine serrsy(PATH, NUNIT)
SERRSY
Definition: serrsy.f:57
sgesvd
subroutine sgesvd(JOBU, JOBVT, M, N, A, LDA, S, U, LDU, VT, LDVT, WORK, LWORK, INFO)
SGESVD computes the singular value decomposition (SVD) for GE matrices
Definition: sgesvd.f:213
spot02
subroutine spot02(UPLO, N, NRHS, A, LDA, X, LDX, B, LDB, RWORK, RESID)
SPOT02
Definition: spot02.f:129
slacpy
subroutine slacpy(UPLO, M, N, A, LDA, B, LDB)
SLACPY copies all or part of one two-dimensional array to another.
Definition: slacpy.f:105
alasum
subroutine alasum(TYPE, NOUT, NFAIL, NRUN, NERRS)
ALASUM
Definition: alasum.f:75