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zgsvj1.f 26 kB

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  1. *> \brief \b ZGSVJ1 pre-processor for the routine zgesvj, applies Jacobi rotations targeting only particular pivots.
  2. *
  3. * =========== DOCUMENTATION ===========
  4. *
  5. * Online html documentation available at
  6. * http://www.netlib.org/lapack/explore-html/
  7. *
  8. *> \htmlonly
  9. *> Download ZGSVJ1 + dependencies
  10. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/zgsvj1.f">
  11. *> [TGZ]</a>
  12. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/zgsvj1.f">
  13. *> [ZIP]</a>
  14. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/zgsvj1.f">
  15. *> [TXT]</a>
  16. *> \endhtmlonly
  17. *
  18. * Definition:
  19. * ===========
  20. *
  21. * SUBROUTINE ZGSVJ1( JOBV, M, N, N1, A, LDA, D, SVA, MV, V, LDV,
  22. * EPS, SFMIN, TOL, NSWEEP, WORK, LWORK, INFO )
  23. *
  24. * .. Scalar Arguments ..
  25. * DOUBLE PRECISION EPS, SFMIN, TOL
  26. * INTEGER INFO, LDA, LDV, LWORK, M, MV, N, N1, NSWEEP
  27. * CHARACTER*1 JOBV
  28. * ..
  29. * .. Array Arguments ..
  30. * COMPLEX*16 A( LDA, * ), D( N ), V( LDV, * ), WORK( LWORK )
  31. * DOUBLE PRECISION SVA( N )
  32. * ..
  33. *
  34. *
  35. *> \par Purpose:
  36. * =============
  37. *>
  38. *> \verbatim
  39. *>
  40. *> ZGSVJ1 is called from ZGESVJ as a pre-processor and that is its main
  41. *> purpose. It applies Jacobi rotations in the same way as ZGESVJ does, but
  42. *> it targets only particular pivots and it does not check convergence
  43. *> (stopping criterion). Few tuning parameters (marked by [TP]) are
  44. *> available for the implementer.
  45. *>
  46. *> Further Details
  47. *> ~~~~~~~~~~~~~~~
  48. *> ZGSVJ1 applies few sweeps of Jacobi rotations in the column space of
  49. *> the input M-by-N matrix A. The pivot pairs are taken from the (1,2)
  50. *> off-diagonal block in the corresponding N-by-N Gram matrix A^T * A. The
  51. *> block-entries (tiles) of the (1,2) off-diagonal block are marked by the
  52. *> [x]'s in the following scheme:
  53. *>
  54. *> | * * * [x] [x] [x]|
  55. *> | * * * [x] [x] [x]| Row-cycling in the nblr-by-nblc [x] blocks.
  56. *> | * * * [x] [x] [x]| Row-cyclic pivoting inside each [x] block.
  57. *> |[x] [x] [x] * * * |
  58. *> |[x] [x] [x] * * * |
  59. *> |[x] [x] [x] * * * |
  60. *>
  61. *> In terms of the columns of A, the first N1 columns are rotated 'against'
  62. *> the remaining N-N1 columns, trying to increase the angle between the
  63. *> corresponding subspaces. The off-diagonal block is N1-by(N-N1) and it is
  64. *> tiled using quadratic tiles of side KBL. Here, KBL is a tuning parameter.
  65. *> The number of sweeps is given in NSWEEP and the orthogonality threshold
  66. *> is given in TOL.
  67. *> \endverbatim
  68. *
  69. * Arguments:
  70. * ==========
  71. *
  72. *> \param[in] JOBV
  73. *> \verbatim
  74. *> JOBV is CHARACTER*1
  75. *> Specifies whether the output from this procedure is used
  76. *> to compute the matrix V:
  77. *> = 'V': the product of the Jacobi rotations is accumulated
  78. *> by postmulyiplying the N-by-N array V.
  79. *> (See the description of V.)
  80. *> = 'A': the product of the Jacobi rotations is accumulated
  81. *> by postmulyiplying the MV-by-N array V.
  82. *> (See the descriptions of MV and V.)
  83. *> = 'N': the Jacobi rotations are not accumulated.
  84. *> \endverbatim
  85. *>
  86. *> \param[in] M
  87. *> \verbatim
  88. *> M is INTEGER
  89. *> The number of rows of the input matrix A. M >= 0.
  90. *> \endverbatim
  91. *>
  92. *> \param[in] N
  93. *> \verbatim
  94. *> N is INTEGER
  95. *> The number of columns of the input matrix A.
  96. *> M >= N >= 0.
  97. *> \endverbatim
  98. *>
  99. *> \param[in] N1
  100. *> \verbatim
  101. *> N1 is INTEGER
  102. *> N1 specifies the 2 x 2 block partition, the first N1 columns are
  103. *> rotated 'against' the remaining N-N1 columns of A.
  104. *> \endverbatim
  105. *>
  106. *> \param[in,out] A
  107. *> \verbatim
  108. *> A is COMPLEX*16 array, dimension (LDA,N)
  109. *> On entry, M-by-N matrix A, such that A*diag(D) represents
  110. *> the input matrix.
  111. *> On exit,
  112. *> A_onexit * D_onexit represents the input matrix A*diag(D)
  113. *> post-multiplied by a sequence of Jacobi rotations, where the
  114. *> rotation threshold and the total number of sweeps are given in
  115. *> TOL and NSWEEP, respectively.
  116. *> (See the descriptions of N1, D, TOL and NSWEEP.)
  117. *> \endverbatim
  118. *>
  119. *> \param[in] LDA
  120. *> \verbatim
  121. *> LDA is INTEGER
  122. *> The leading dimension of the array A. LDA >= max(1,M).
  123. *> \endverbatim
  124. *>
  125. *> \param[in,out] D
  126. *> \verbatim
  127. *> D is COMPLEX*16 array, dimension (N)
  128. *> The array D accumulates the scaling factors from the fast scaled
  129. *> Jacobi rotations.
  130. *> On entry, A*diag(D) represents the input matrix.
  131. *> On exit, A_onexit*diag(D_onexit) represents the input matrix
  132. *> post-multiplied by a sequence of Jacobi rotations, where the
  133. *> rotation threshold and the total number of sweeps are given in
  134. *> TOL and NSWEEP, respectively.
  135. *> (See the descriptions of N1, A, TOL and NSWEEP.)
  136. *> \endverbatim
  137. *>
  138. *> \param[in,out] SVA
  139. *> \verbatim
  140. *> SVA is DOUBLE PRECISION array, dimension (N)
  141. *> On entry, SVA contains the Euclidean norms of the columns of
  142. *> the matrix A*diag(D).
  143. *> On exit, SVA contains the Euclidean norms of the columns of
  144. *> the matrix onexit*diag(D_onexit).
  145. *> \endverbatim
  146. *>
  147. *> \param[in] MV
  148. *> \verbatim
  149. *> MV is INTEGER
  150. *> If JOBV = 'A', then MV rows of V are post-multipled by a
  151. *> sequence of Jacobi rotations.
  152. *> If JOBV = 'N', then MV is not referenced.
  153. *> \endverbatim
  154. *>
  155. *> \param[in,out] V
  156. *> \verbatim
  157. *> V is COMPLEX*16 array, dimension (LDV,N)
  158. *> If JOBV = 'V' then N rows of V are post-multipled by a
  159. *> sequence of Jacobi rotations.
  160. *> If JOBV = 'A' then MV rows of V are post-multipled by a
  161. *> sequence of Jacobi rotations.
  162. *> If JOBV = 'N', then V is not referenced.
  163. *> \endverbatim
  164. *>
  165. *> \param[in] LDV
  166. *> \verbatim
  167. *> LDV is INTEGER
  168. *> The leading dimension of the array V, LDV >= 1.
  169. *> If JOBV = 'V', LDV >= N.
  170. *> If JOBV = 'A', LDV >= MV.
  171. *> \endverbatim
  172. *>
  173. *> \param[in] EPS
  174. *> \verbatim
  175. *> EPS is DOUBLE PRECISION
  176. *> EPS = DLAMCH('Epsilon')
  177. *> \endverbatim
  178. *>
  179. *> \param[in] SFMIN
  180. *> \verbatim
  181. *> SFMIN is DOUBLE PRECISION
  182. *> SFMIN = DLAMCH('Safe Minimum')
  183. *> \endverbatim
  184. *>
  185. *> \param[in] TOL
  186. *> \verbatim
  187. *> TOL is DOUBLE PRECISION
  188. *> TOL is the threshold for Jacobi rotations. For a pair
  189. *> A(:,p), A(:,q) of pivot columns, the Jacobi rotation is
  190. *> applied only if ABS(COS(angle(A(:,p),A(:,q)))) > TOL.
  191. *> \endverbatim
  192. *>
  193. *> \param[in] NSWEEP
  194. *> \verbatim
  195. *> NSWEEP is INTEGER
  196. *> NSWEEP is the number of sweeps of Jacobi rotations to be
  197. *> performed.
  198. *> \endverbatim
  199. *>
  200. *> \param[out] WORK
  201. *> \verbatim
  202. *> WORK is COMPLEX*16 array, dimension (LWORK)
  203. *> \endverbatim
  204. *>
  205. *> \param[in] LWORK
  206. *> \verbatim
  207. *> LWORK is INTEGER
  208. *> LWORK is the dimension of WORK. LWORK >= M.
  209. *> \endverbatim
  210. *>
  211. *> \param[out] INFO
  212. *> \verbatim
  213. *> INFO is INTEGER
  214. *> = 0: successful exit.
  215. *> < 0: if INFO = -i, then the i-th argument had an illegal value
  216. *> \endverbatim
  217. *
  218. * Authors:
  219. * ========
  220. *
  221. *> \author Univ. of Tennessee
  222. *> \author Univ. of California Berkeley
  223. *> \author Univ. of Colorado Denver
  224. *> \author NAG Ltd.
  225. *
  226. *> \ingroup complex16OTHERcomputational
  227. *
  228. *> \par Contributor:
  229. * ==================
  230. *>
  231. *> Zlatko Drmac (Zagreb, Croatia)
  232. *
  233. * =====================================================================
  234. SUBROUTINE ZGSVJ1( JOBV, M, N, N1, A, LDA, D, SVA, MV, V, LDV,
  235. $ EPS, SFMIN, TOL, NSWEEP, WORK, LWORK, INFO )
  236. *
  237. * -- LAPACK computational routine --
  238. * -- LAPACK is a software package provided by Univ. of Tennessee, --
  239. * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  240. *
  241. IMPLICIT NONE
  242. * .. Scalar Arguments ..
  243. DOUBLE PRECISION EPS, SFMIN, TOL
  244. INTEGER INFO, LDA, LDV, LWORK, M, MV, N, N1, NSWEEP
  245. CHARACTER*1 JOBV
  246. * ..
  247. * .. Array Arguments ..
  248. COMPLEX*16 A( LDA, * ), D( N ), V( LDV, * ), WORK( LWORK )
  249. DOUBLE PRECISION SVA( N )
  250. * ..
  251. *
  252. * =====================================================================
  253. *
  254. * .. Local Parameters ..
  255. DOUBLE PRECISION ZERO, HALF, ONE
  256. PARAMETER ( ZERO = 0.0D0, HALF = 0.5D0, ONE = 1.0D0)
  257. * ..
  258. * .. Local Scalars ..
  259. COMPLEX*16 AAPQ, OMPQ
  260. DOUBLE PRECISION AAPP, AAPP0, AAPQ1, AAQQ, APOAQ, AQOAP, BIG,
  261. $ BIGTHETA, CS, MXAAPQ, MXSINJ, ROOTBIG,
  262. $ ROOTEPS, ROOTSFMIN, ROOTTOL, SMALL, SN, T,
  263. $ TEMP1, THETA, THSIGN
  264. INTEGER BLSKIP, EMPTSW, i, ibr, igl, IERR, IJBLSK,
  265. $ ISWROT, jbc, jgl, KBL, MVL, NOTROT, nblc, nblr,
  266. $ p, PSKIPPED, q, ROWSKIP, SWBAND
  267. LOGICAL APPLV, ROTOK, RSVEC
  268. * ..
  269. * ..
  270. * .. Intrinsic Functions ..
  271. INTRINSIC ABS, CONJG, MAX, DBLE, MIN, SIGN, SQRT
  272. * ..
  273. * .. External Functions ..
  274. DOUBLE PRECISION DZNRM2
  275. COMPLEX*16 ZDOTC
  276. INTEGER IDAMAX
  277. LOGICAL LSAME
  278. EXTERNAL IDAMAX, LSAME, ZDOTC, DZNRM2
  279. * ..
  280. * .. External Subroutines ..
  281. * .. from BLAS
  282. EXTERNAL ZCOPY, ZROT, ZSWAP, ZAXPY
  283. * .. from LAPACK
  284. EXTERNAL ZLASCL, ZLASSQ, XERBLA
  285. * ..
  286. * .. Executable Statements ..
  287. *
  288. * Test the input parameters.
  289. *
  290. APPLV = LSAME( JOBV, 'A' )
  291. RSVEC = LSAME( JOBV, 'V' )
  292. IF( .NOT.( RSVEC .OR. APPLV .OR. LSAME( JOBV, 'N' ) ) ) THEN
  293. INFO = -1
  294. ELSE IF( M.LT.0 ) THEN
  295. INFO = -2
  296. ELSE IF( ( N.LT.0 ) .OR. ( N.GT.M ) ) THEN
  297. INFO = -3
  298. ELSE IF( N1.LT.0 ) THEN
  299. INFO = -4
  300. ELSE IF( LDA.LT.M ) THEN
  301. INFO = -6
  302. ELSE IF( ( RSVEC.OR.APPLV ) .AND. ( MV.LT.0 ) ) THEN
  303. INFO = -9
  304. ELSE IF( ( RSVEC.AND.( LDV.LT.N ) ).OR.
  305. $ ( APPLV.AND.( LDV.LT.MV ) ) ) THEN
  306. INFO = -11
  307. ELSE IF( TOL.LE.EPS ) THEN
  308. INFO = -14
  309. ELSE IF( NSWEEP.LT.0 ) THEN
  310. INFO = -15
  311. ELSE IF( LWORK.LT.M ) THEN
  312. INFO = -17
  313. ELSE
  314. INFO = 0
  315. END IF
  316. *
  317. * #:(
  318. IF( INFO.NE.0 ) THEN
  319. CALL XERBLA( 'ZGSVJ1', -INFO )
  320. RETURN
  321. END IF
  322. *
  323. IF( RSVEC ) THEN
  324. MVL = N
  325. ELSE IF( APPLV ) THEN
  326. MVL = MV
  327. END IF
  328. RSVEC = RSVEC .OR. APPLV
  329. ROOTEPS = SQRT( EPS )
  330. ROOTSFMIN = SQRT( SFMIN )
  331. SMALL = SFMIN / EPS
  332. BIG = ONE / SFMIN
  333. ROOTBIG = ONE / ROOTSFMIN
  334. * LARGE = BIG / SQRT( DBLE( M*N ) )
  335. BIGTHETA = ONE / ROOTEPS
  336. ROOTTOL = SQRT( TOL )
  337. *
  338. * .. Initialize the right singular vector matrix ..
  339. *
  340. * RSVEC = LSAME( JOBV, 'Y' )
  341. *
  342. EMPTSW = N1*( N-N1 )
  343. NOTROT = 0
  344. *
  345. * .. Row-cyclic pivot strategy with de Rijk's pivoting ..
  346. *
  347. KBL = MIN( 8, N )
  348. NBLR = N1 / KBL
  349. IF( ( NBLR*KBL ).NE.N1 )NBLR = NBLR + 1
  350. * .. the tiling is nblr-by-nblc [tiles]
  351. NBLC = ( N-N1 ) / KBL
  352. IF( ( NBLC*KBL ).NE.( N-N1 ) )NBLC = NBLC + 1
  353. BLSKIP = ( KBL**2 ) + 1
  354. *[TP] BLKSKIP is a tuning parameter that depends on SWBAND and KBL.
  355. ROWSKIP = MIN( 5, KBL )
  356. *[TP] ROWSKIP is a tuning parameter.
  357. SWBAND = 0
  358. *[TP] SWBAND is a tuning parameter. It is meaningful and effective
  359. * if ZGESVJ is used as a computational routine in the preconditioned
  360. * Jacobi SVD algorithm ZGEJSV.
  361. *
  362. *
  363. * | * * * [x] [x] [x]|
  364. * | * * * [x] [x] [x]| Row-cycling in the nblr-by-nblc [x] blocks.
  365. * | * * * [x] [x] [x]| Row-cyclic pivoting inside each [x] block.
  366. * |[x] [x] [x] * * * |
  367. * |[x] [x] [x] * * * |
  368. * |[x] [x] [x] * * * |
  369. *
  370. *
  371. DO 1993 i = 1, NSWEEP
  372. *
  373. * .. go go go ...
  374. *
  375. MXAAPQ = ZERO
  376. MXSINJ = ZERO
  377. ISWROT = 0
  378. *
  379. NOTROT = 0
  380. PSKIPPED = 0
  381. *
  382. * Each sweep is unrolled using KBL-by-KBL tiles over the pivot pairs
  383. * 1 <= p < q <= N. This is the first step toward a blocked implementation
  384. * of the rotations. New implementation, based on block transformations,
  385. * is under development.
  386. *
  387. DO 2000 ibr = 1, NBLR
  388. *
  389. igl = ( ibr-1 )*KBL + 1
  390. *
  391. *
  392. * ... go to the off diagonal blocks
  393. *
  394. igl = ( ibr-1 )*KBL + 1
  395. *
  396. * DO 2010 jbc = ibr + 1, NBL
  397. DO 2010 jbc = 1, NBLC
  398. *
  399. jgl = ( jbc-1 )*KBL + N1 + 1
  400. *
  401. * doing the block at ( ibr, jbc )
  402. *
  403. IJBLSK = 0
  404. DO 2100 p = igl, MIN( igl+KBL-1, N1 )
  405. *
  406. AAPP = SVA( p )
  407. IF( AAPP.GT.ZERO ) THEN
  408. *
  409. PSKIPPED = 0
  410. *
  411. DO 2200 q = jgl, MIN( jgl+KBL-1, N )
  412. *
  413. AAQQ = SVA( q )
  414. IF( AAQQ.GT.ZERO ) THEN
  415. AAPP0 = AAPP
  416. *
  417. * .. M x 2 Jacobi SVD ..
  418. *
  419. * Safe Gram matrix computation
  420. *
  421. IF( AAQQ.GE.ONE ) THEN
  422. IF( AAPP.GE.AAQQ ) THEN
  423. ROTOK = ( SMALL*AAPP ).LE.AAQQ
  424. ELSE
  425. ROTOK = ( SMALL*AAQQ ).LE.AAPP
  426. END IF
  427. IF( AAPP.LT.( BIG / AAQQ ) ) THEN
  428. AAPQ = ( ZDOTC( M, A( 1, p ), 1,
  429. $ A( 1, q ), 1 ) / AAQQ ) / AAPP
  430. ELSE
  431. CALL ZCOPY( M, A( 1, p ), 1,
  432. $ WORK, 1 )
  433. CALL ZLASCL( 'G', 0, 0, AAPP,
  434. $ ONE, M, 1,
  435. $ WORK, LDA, IERR )
  436. AAPQ = ZDOTC( M, WORK, 1,
  437. $ A( 1, q ), 1 ) / AAQQ
  438. END IF
  439. ELSE
  440. IF( AAPP.GE.AAQQ ) THEN
  441. ROTOK = AAPP.LE.( AAQQ / SMALL )
  442. ELSE
  443. ROTOK = AAQQ.LE.( AAPP / SMALL )
  444. END IF
  445. IF( AAPP.GT.( SMALL / AAQQ ) ) THEN
  446. AAPQ = ( ZDOTC( M, A( 1, p ), 1,
  447. $ A( 1, q ), 1 ) / MAX(AAQQ,AAPP) )
  448. $ / MIN(AAQQ,AAPP)
  449. ELSE
  450. CALL ZCOPY( M, A( 1, q ), 1,
  451. $ WORK, 1 )
  452. CALL ZLASCL( 'G', 0, 0, AAQQ,
  453. $ ONE, M, 1,
  454. $ WORK, LDA, IERR )
  455. AAPQ = ZDOTC( M, A( 1, p ), 1,
  456. $ WORK, 1 ) / AAPP
  457. END IF
  458. END IF
  459. *
  460. * AAPQ = AAPQ * CONJG(CWORK(p))*CWORK(q)
  461. AAPQ1 = -ABS(AAPQ)
  462. MXAAPQ = MAX( MXAAPQ, -AAPQ1 )
  463. *
  464. * TO rotate or NOT to rotate, THAT is the question ...
  465. *
  466. IF( ABS( AAPQ1 ).GT.TOL ) THEN
  467. OMPQ = AAPQ / ABS(AAPQ)
  468. NOTROT = 0
  469. *[RTD] ROTATED = ROTATED + 1
  470. PSKIPPED = 0
  471. ISWROT = ISWROT + 1
  472. *
  473. IF( ROTOK ) THEN
  474. *
  475. AQOAP = AAQQ / AAPP
  476. APOAQ = AAPP / AAQQ
  477. THETA = -HALF*ABS( AQOAP-APOAQ )/ AAPQ1
  478. IF( AAQQ.GT.AAPP0 )THETA = -THETA
  479. *
  480. IF( ABS( THETA ).GT.BIGTHETA ) THEN
  481. T = HALF / THETA
  482. CS = ONE
  483. CALL ZROT( M, A(1,p), 1, A(1,q), 1,
  484. $ CS, CONJG(OMPQ)*T )
  485. IF( RSVEC ) THEN
  486. CALL ZROT( MVL, V(1,p), 1,
  487. $ V(1,q), 1, CS, CONJG(OMPQ)*T )
  488. END IF
  489. SVA( q ) = AAQQ*SQRT( MAX( ZERO,
  490. $ ONE+T*APOAQ*AAPQ1 ) )
  491. AAPP = AAPP*SQRT( MAX( ZERO,
  492. $ ONE-T*AQOAP*AAPQ1 ) )
  493. MXSINJ = MAX( MXSINJ, ABS( T ) )
  494. ELSE
  495. *
  496. * .. choose correct signum for THETA and rotate
  497. *
  498. THSIGN = -SIGN( ONE, AAPQ1 )
  499. IF( AAQQ.GT.AAPP0 )THSIGN = -THSIGN
  500. T = ONE / ( THETA+THSIGN*
  501. $ SQRT( ONE+THETA*THETA ) )
  502. CS = SQRT( ONE / ( ONE+T*T ) )
  503. SN = T*CS
  504. MXSINJ = MAX( MXSINJ, ABS( SN ) )
  505. SVA( q ) = AAQQ*SQRT( MAX( ZERO,
  506. $ ONE+T*APOAQ*AAPQ1 ) )
  507. AAPP = AAPP*SQRT( MAX( ZERO,
  508. $ ONE-T*AQOAP*AAPQ1 ) )
  509. *
  510. CALL ZROT( M, A(1,p), 1, A(1,q), 1,
  511. $ CS, CONJG(OMPQ)*SN )
  512. IF( RSVEC ) THEN
  513. CALL ZROT( MVL, V(1,p), 1,
  514. $ V(1,q), 1, CS, CONJG(OMPQ)*SN )
  515. END IF
  516. END IF
  517. D(p) = -D(q) * OMPQ
  518. *
  519. ELSE
  520. * .. have to use modified Gram-Schmidt like transformation
  521. IF( AAPP.GT.AAQQ ) THEN
  522. CALL ZCOPY( M, A( 1, p ), 1,
  523. $ WORK, 1 )
  524. CALL ZLASCL( 'G', 0, 0, AAPP, ONE,
  525. $ M, 1, WORK,LDA,
  526. $ IERR )
  527. CALL ZLASCL( 'G', 0, 0, AAQQ, ONE,
  528. $ M, 1, A( 1, q ), LDA,
  529. $ IERR )
  530. CALL ZAXPY( M, -AAPQ, WORK,
  531. $ 1, A( 1, q ), 1 )
  532. CALL ZLASCL( 'G', 0, 0, ONE, AAQQ,
  533. $ M, 1, A( 1, q ), LDA,
  534. $ IERR )
  535. SVA( q ) = AAQQ*SQRT( MAX( ZERO,
  536. $ ONE-AAPQ1*AAPQ1 ) )
  537. MXSINJ = MAX( MXSINJ, SFMIN )
  538. ELSE
  539. CALL ZCOPY( M, A( 1, q ), 1,
  540. $ WORK, 1 )
  541. CALL ZLASCL( 'G', 0, 0, AAQQ, ONE,
  542. $ M, 1, WORK,LDA,
  543. $ IERR )
  544. CALL ZLASCL( 'G', 0, 0, AAPP, ONE,
  545. $ M, 1, A( 1, p ), LDA,
  546. $ IERR )
  547. CALL ZAXPY( M, -CONJG(AAPQ),
  548. $ WORK, 1, A( 1, p ), 1 )
  549. CALL ZLASCL( 'G', 0, 0, ONE, AAPP,
  550. $ M, 1, A( 1, p ), LDA,
  551. $ IERR )
  552. SVA( p ) = AAPP*SQRT( MAX( ZERO,
  553. $ ONE-AAPQ1*AAPQ1 ) )
  554. MXSINJ = MAX( MXSINJ, SFMIN )
  555. END IF
  556. END IF
  557. * END IF ROTOK THEN ... ELSE
  558. *
  559. * In the case of cancellation in updating SVA(q), SVA(p)
  560. * .. recompute SVA(q), SVA(p)
  561. IF( ( SVA( q ) / AAQQ )**2.LE.ROOTEPS )
  562. $ THEN
  563. IF( ( AAQQ.LT.ROOTBIG ) .AND.
  564. $ ( AAQQ.GT.ROOTSFMIN ) ) THEN
  565. SVA( q ) = DZNRM2( M, A( 1, q ), 1)
  566. ELSE
  567. T = ZERO
  568. AAQQ = ONE
  569. CALL ZLASSQ( M, A( 1, q ), 1, T,
  570. $ AAQQ )
  571. SVA( q ) = T*SQRT( AAQQ )
  572. END IF
  573. END IF
  574. IF( ( AAPP / AAPP0 )**2.LE.ROOTEPS ) THEN
  575. IF( ( AAPP.LT.ROOTBIG ) .AND.
  576. $ ( AAPP.GT.ROOTSFMIN ) ) THEN
  577. AAPP = DZNRM2( M, A( 1, p ), 1 )
  578. ELSE
  579. T = ZERO
  580. AAPP = ONE
  581. CALL ZLASSQ( M, A( 1, p ), 1, T,
  582. $ AAPP )
  583. AAPP = T*SQRT( AAPP )
  584. END IF
  585. SVA( p ) = AAPP
  586. END IF
  587. * end of OK rotation
  588. ELSE
  589. NOTROT = NOTROT + 1
  590. *[RTD] SKIPPED = SKIPPED + 1
  591. PSKIPPED = PSKIPPED + 1
  592. IJBLSK = IJBLSK + 1
  593. END IF
  594. ELSE
  595. NOTROT = NOTROT + 1
  596. PSKIPPED = PSKIPPED + 1
  597. IJBLSK = IJBLSK + 1
  598. END IF
  599. *
  600. IF( ( i.LE.SWBAND ) .AND. ( IJBLSK.GE.BLSKIP ) )
  601. $ THEN
  602. SVA( p ) = AAPP
  603. NOTROT = 0
  604. GO TO 2011
  605. END IF
  606. IF( ( i.LE.SWBAND ) .AND.
  607. $ ( PSKIPPED.GT.ROWSKIP ) ) THEN
  608. AAPP = -AAPP
  609. NOTROT = 0
  610. GO TO 2203
  611. END IF
  612. *
  613. 2200 CONTINUE
  614. * end of the q-loop
  615. 2203 CONTINUE
  616. *
  617. SVA( p ) = AAPP
  618. *
  619. ELSE
  620. *
  621. IF( AAPP.EQ.ZERO )NOTROT = NOTROT +
  622. $ MIN( jgl+KBL-1, N ) - jgl + 1
  623. IF( AAPP.LT.ZERO )NOTROT = 0
  624. *
  625. END IF
  626. *
  627. 2100 CONTINUE
  628. * end of the p-loop
  629. 2010 CONTINUE
  630. * end of the jbc-loop
  631. 2011 CONTINUE
  632. *2011 bailed out of the jbc-loop
  633. DO 2012 p = igl, MIN( igl+KBL-1, N )
  634. SVA( p ) = ABS( SVA( p ) )
  635. 2012 CONTINUE
  636. ***
  637. 2000 CONTINUE
  638. *2000 :: end of the ibr-loop
  639. *
  640. * .. update SVA(N)
  641. IF( ( SVA( N ).LT.ROOTBIG ) .AND. ( SVA( N ).GT.ROOTSFMIN ) )
  642. $ THEN
  643. SVA( N ) = DZNRM2( M, A( 1, N ), 1 )
  644. ELSE
  645. T = ZERO
  646. AAPP = ONE
  647. CALL ZLASSQ( M, A( 1, N ), 1, T, AAPP )
  648. SVA( N ) = T*SQRT( AAPP )
  649. END IF
  650. *
  651. * Additional steering devices
  652. *
  653. IF( ( i.LT.SWBAND ) .AND. ( ( MXAAPQ.LE.ROOTTOL ) .OR.
  654. $ ( ISWROT.LE.N ) ) )SWBAND = i
  655. *
  656. IF( ( i.GT.SWBAND+1 ) .AND. ( MXAAPQ.LT.SQRT( DBLE( N ) )*
  657. $ TOL ) .AND. ( DBLE( N )*MXAAPQ*MXSINJ.LT.TOL ) ) THEN
  658. GO TO 1994
  659. END IF
  660. *
  661. IF( NOTROT.GE.EMPTSW )GO TO 1994
  662. *
  663. 1993 CONTINUE
  664. * end i=1:NSWEEP loop
  665. *
  666. * #:( Reaching this point means that the procedure has not converged.
  667. INFO = NSWEEP - 1
  668. GO TO 1995
  669. *
  670. 1994 CONTINUE
  671. * #:) Reaching this point means numerical convergence after the i-th
  672. * sweep.
  673. *
  674. INFO = 0
  675. * #:) INFO = 0 confirms successful iterations.
  676. 1995 CONTINUE
  677. *
  678. * Sort the vector SVA() of column norms.
  679. DO 5991 p = 1, N - 1
  680. q = IDAMAX( N-p+1, SVA( p ), 1 ) + p - 1
  681. IF( p.NE.q ) THEN
  682. TEMP1 = SVA( p )
  683. SVA( p ) = SVA( q )
  684. SVA( q ) = TEMP1
  685. AAPQ = D( p )
  686. D( p ) = D( q )
  687. D( q ) = AAPQ
  688. CALL ZSWAP( M, A( 1, p ), 1, A( 1, q ), 1 )
  689. IF( RSVEC )CALL ZSWAP( MVL, V( 1, p ), 1, V( 1, q ), 1 )
  690. END IF
  691. 5991 CONTINUE
  692. *
  693. *
  694. RETURN
  695. * ..
  696. * .. END OF ZGSVJ1
  697. * ..
  698. END