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sgghd3.f 32 kB

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  1. *> \brief \b SGGHD3
  2. *
  3. * =========== DOCUMENTATION ===========
  4. *
  5. * Online html documentation available at
  6. * http://www.netlib.org/lapack/explore-html/
  7. *
  8. *> \htmlonly
  9. *> Download SGGHRD + dependencies
  10. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/sgghd3.f">
  11. *> [TGZ]</a>
  12. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/sgghd3.f">
  13. *> [ZIP]</a>
  14. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/sgghd3.f">
  15. *> [TXT]</a>
  16. *> \endhtmlonly
  17. *
  18. * Definition:
  19. * ===========
  20. *
  21. * SUBROUTINE SGGHD3( COMPQ, COMPZ, N, ILO, IHI, A, LDA, B, LDB, Q,
  22. * LDQ, Z, LDZ, WORK, LWORK, INFO )
  23. *
  24. * .. Scalar Arguments ..
  25. * CHARACTER COMPQ, COMPZ
  26. * INTEGER IHI, ILO, INFO, LDA, LDB, LDQ, LDZ, N, LWORK
  27. * ..
  28. * .. Array Arguments ..
  29. * REAL A( LDA, * ), B( LDB, * ), Q( LDQ, * ),
  30. * $ Z( LDZ, * ), WORK( * )
  31. * ..
  32. *
  33. *
  34. *> \par Purpose:
  35. * =============
  36. *>
  37. *> \verbatim
  38. *>
  39. *> SGGHD3 reduces a pair of real matrices (A,B) to generalized upper
  40. *> Hessenberg form using orthogonal transformations, where A is a
  41. *> general matrix and B is upper triangular. The form of the
  42. *> generalized eigenvalue problem is
  43. *> A*x = lambda*B*x,
  44. *> and B is typically made upper triangular by computing its QR
  45. *> factorization and moving the orthogonal matrix Q to the left side
  46. *> of the equation.
  47. *>
  48. *> This subroutine simultaneously reduces A to a Hessenberg matrix H:
  49. *> Q**T*A*Z = H
  50. *> and transforms B to another upper triangular matrix T:
  51. *> Q**T*B*Z = T
  52. *> in order to reduce the problem to its standard form
  53. *> H*y = lambda*T*y
  54. *> where y = Z**T*x.
  55. *>
  56. *> The orthogonal matrices Q and Z are determined as products of Givens
  57. *> rotations. They may either be formed explicitly, or they may be
  58. *> postmultiplied into input matrices Q1 and Z1, so that
  59. *>
  60. *> Q1 * A * Z1**T = (Q1*Q) * H * (Z1*Z)**T
  61. *>
  62. *> Q1 * B * Z1**T = (Q1*Q) * T * (Z1*Z)**T
  63. *>
  64. *> If Q1 is the orthogonal matrix from the QR factorization of B in the
  65. *> original equation A*x = lambda*B*x, then SGGHD3 reduces the original
  66. *> problem to generalized Hessenberg form.
  67. *>
  68. *> This is a blocked variant of SGGHRD, using matrix-matrix
  69. *> multiplications for parts of the computation to enhance performance.
  70. *> \endverbatim
  71. *
  72. * Arguments:
  73. * ==========
  74. *
  75. *> \param[in] COMPQ
  76. *> \verbatim
  77. *> COMPQ is CHARACTER*1
  78. *> = 'N': do not compute Q;
  79. *> = 'I': Q is initialized to the unit matrix, and the
  80. *> orthogonal matrix Q is returned;
  81. *> = 'V': Q must contain an orthogonal matrix Q1 on entry,
  82. *> and the product Q1*Q is returned.
  83. *> \endverbatim
  84. *>
  85. *> \param[in] COMPZ
  86. *> \verbatim
  87. *> COMPZ is CHARACTER*1
  88. *> = 'N': do not compute Z;
  89. *> = 'I': Z is initialized to the unit matrix, and the
  90. *> orthogonal matrix Z is returned;
  91. *> = 'V': Z must contain an orthogonal matrix Z1 on entry,
  92. *> and the product Z1*Z is returned.
  93. *> \endverbatim
  94. *>
  95. *> \param[in] N
  96. *> \verbatim
  97. *> N is INTEGER
  98. *> The order of the matrices A and B. N >= 0.
  99. *> \endverbatim
  100. *>
  101. *> \param[in] ILO
  102. *> \verbatim
  103. *> ILO is INTEGER
  104. *> \endverbatim
  105. *>
  106. *> \param[in] IHI
  107. *> \verbatim
  108. *> IHI is INTEGER
  109. *>
  110. *> ILO and IHI mark the rows and columns of A which are to be
  111. *> reduced. It is assumed that A is already upper triangular
  112. *> in rows and columns 1:ILO-1 and IHI+1:N. ILO and IHI are
  113. *> normally set by a previous call to SGGBAL; otherwise they
  114. *> should be set to 1 and N respectively.
  115. *> 1 <= ILO <= IHI <= N, if N > 0; ILO=1 and IHI=0, if N=0.
  116. *> \endverbatim
  117. *>
  118. *> \param[in,out] A
  119. *> \verbatim
  120. *> A is REAL array, dimension (LDA, N)
  121. *> On entry, the N-by-N general matrix to be reduced.
  122. *> On exit, the upper triangle and the first subdiagonal of A
  123. *> are overwritten with the upper Hessenberg matrix H, and the
  124. *> rest is set to zero.
  125. *> \endverbatim
  126. *>
  127. *> \param[in] LDA
  128. *> \verbatim
  129. *> LDA is INTEGER
  130. *> The leading dimension of the array A. LDA >= max(1,N).
  131. *> \endverbatim
  132. *>
  133. *> \param[in,out] B
  134. *> \verbatim
  135. *> B is REAL array, dimension (LDB, N)
  136. *> On entry, the N-by-N upper triangular matrix B.
  137. *> On exit, the upper triangular matrix T = Q**T B Z. The
  138. *> elements below the diagonal are set to zero.
  139. *> \endverbatim
  140. *>
  141. *> \param[in] LDB
  142. *> \verbatim
  143. *> LDB is INTEGER
  144. *> The leading dimension of the array B. LDB >= max(1,N).
  145. *> \endverbatim
  146. *>
  147. *> \param[in,out] Q
  148. *> \verbatim
  149. *> Q is REAL array, dimension (LDQ, N)
  150. *> On entry, if COMPQ = 'V', the orthogonal matrix Q1,
  151. *> typically from the QR factorization of B.
  152. *> On exit, if COMPQ='I', the orthogonal matrix Q, and if
  153. *> COMPQ = 'V', the product Q1*Q.
  154. *> Not referenced if COMPQ='N'.
  155. *> \endverbatim
  156. *>
  157. *> \param[in] LDQ
  158. *> \verbatim
  159. *> LDQ is INTEGER
  160. *> The leading dimension of the array Q.
  161. *> LDQ >= N if COMPQ='V' or 'I'; LDQ >= 1 otherwise.
  162. *> \endverbatim
  163. *>
  164. *> \param[in,out] Z
  165. *> \verbatim
  166. *> Z is REAL array, dimension (LDZ, N)
  167. *> On entry, if COMPZ = 'V', the orthogonal matrix Z1.
  168. *> On exit, if COMPZ='I', the orthogonal matrix Z, and if
  169. *> COMPZ = 'V', the product Z1*Z.
  170. *> Not referenced if COMPZ='N'.
  171. *> \endverbatim
  172. *>
  173. *> \param[in] LDZ
  174. *> \verbatim
  175. *> LDZ is INTEGER
  176. *> The leading dimension of the array Z.
  177. *> LDZ >= N if COMPZ='V' or 'I'; LDZ >= 1 otherwise.
  178. *> \endverbatim
  179. *>
  180. *> \param[out] WORK
  181. *> \verbatim
  182. *> WORK is REAL array, dimension (LWORK)
  183. *> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
  184. *> \endverbatim
  185. *>
  186. *> \param[in] LWORK
  187. *> \verbatim
  188. *> LWORK is INTEGER
  189. *> The length of the array WORK. LWORK >= 1.
  190. *> For optimum performance LWORK >= 6*N*NB, where NB is the
  191. *> optimal blocksize.
  192. *>
  193. *> If LWORK = -1, then a workspace query is assumed; the routine
  194. *> only calculates the optimal size of the WORK array, returns
  195. *> this value as the first entry of the WORK array, and no error
  196. *> message related to LWORK is issued by XERBLA.
  197. *> \endverbatim
  198. *>
  199. *> \param[out] INFO
  200. *> \verbatim
  201. *> INFO is INTEGER
  202. *> = 0: successful exit.
  203. *> < 0: if INFO = -i, the i-th argument had an illegal value.
  204. *> \endverbatim
  205. *
  206. * Authors:
  207. * ========
  208. *
  209. *> \author Univ. of Tennessee
  210. *> \author Univ. of California Berkeley
  211. *> \author Univ. of Colorado Denver
  212. *> \author NAG Ltd.
  213. *
  214. *> \date January 2015
  215. *
  216. *> \ingroup realOTHERcomputational
  217. *
  218. *> \par Further Details:
  219. * =====================
  220. *>
  221. *> \verbatim
  222. *>
  223. *> This routine reduces A to Hessenberg form and maintains B in
  224. *> using a blocked variant of Moler and Stewart's original algorithm,
  225. *> as described by Kagstrom, Kressner, Quintana-Orti, and Quintana-Orti
  226. *> (BIT 2008).
  227. *> \endverbatim
  228. *>
  229. * =====================================================================
  230. SUBROUTINE SGGHD3( COMPQ, COMPZ, N, ILO, IHI, A, LDA, B, LDB, Q,
  231. $ LDQ, Z, LDZ, WORK, LWORK, INFO )
  232. *
  233. * -- LAPACK computational routine (version 3.8.0) --
  234. * -- LAPACK is a software package provided by Univ. of Tennessee, --
  235. * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  236. * January 2015
  237. *
  238. IMPLICIT NONE
  239. *
  240. * .. Scalar Arguments ..
  241. CHARACTER COMPQ, COMPZ
  242. INTEGER IHI, ILO, INFO, LDA, LDB, LDQ, LDZ, N, LWORK
  243. * ..
  244. * .. Array Arguments ..
  245. REAL A( LDA, * ), B( LDB, * ), Q( LDQ, * ),
  246. $ Z( LDZ, * ), WORK( * )
  247. * ..
  248. *
  249. * =====================================================================
  250. *
  251. * .. Parameters ..
  252. REAL ZERO, ONE
  253. PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
  254. * ..
  255. * .. Local Scalars ..
  256. LOGICAL BLK22, INITQ, INITZ, LQUERY, WANTQ, WANTZ
  257. CHARACTER*1 COMPQ2, COMPZ2
  258. INTEGER COLA, I, IERR, J, J0, JCOL, JJ, JROW, K,
  259. $ KACC22, LEN, LWKOPT, N2NB, NB, NBLST, NBMIN,
  260. $ NH, NNB, NX, PPW, PPWO, PW, TOP, TOPQ
  261. REAL C, C1, C2, S, S1, S2, TEMP, TEMP1, TEMP2, TEMP3
  262. * ..
  263. * .. External Functions ..
  264. LOGICAL LSAME
  265. INTEGER ILAENV
  266. EXTERNAL ILAENV, LSAME
  267. * ..
  268. * .. External Subroutines ..
  269. EXTERNAL SGGHRD, SLARTG, SLASET, SORM22, SROT, SGEMM,
  270. $ SGEMV, STRMV, SLACPY, XERBLA
  271. * ..
  272. * .. Intrinsic Functions ..
  273. INTRINSIC REAL, MAX
  274. * ..
  275. * .. Executable Statements ..
  276. *
  277. * Decode and test the input parameters.
  278. *
  279. INFO = 0
  280. NB = ILAENV( 1, 'SGGHD3', ' ', N, ILO, IHI, -1 )
  281. LWKOPT = MAX( 6*N*NB, 1 )
  282. WORK( 1 ) = REAL( LWKOPT )
  283. INITQ = LSAME( COMPQ, 'I' )
  284. WANTQ = INITQ .OR. LSAME( COMPQ, 'V' )
  285. INITZ = LSAME( COMPZ, 'I' )
  286. WANTZ = INITZ .OR. LSAME( COMPZ, 'V' )
  287. LQUERY = ( LWORK.EQ.-1 )
  288. *
  289. IF( .NOT.LSAME( COMPQ, 'N' ) .AND. .NOT.WANTQ ) THEN
  290. INFO = -1
  291. ELSE IF( .NOT.LSAME( COMPZ, 'N' ) .AND. .NOT.WANTZ ) THEN
  292. INFO = -2
  293. ELSE IF( N.LT.0 ) THEN
  294. INFO = -3
  295. ELSE IF( ILO.LT.1 ) THEN
  296. INFO = -4
  297. ELSE IF( IHI.GT.N .OR. IHI.LT.ILO-1 ) THEN
  298. INFO = -5
  299. ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
  300. INFO = -7
  301. ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
  302. INFO = -9
  303. ELSE IF( ( WANTQ .AND. LDQ.LT.N ) .OR. LDQ.LT.1 ) THEN
  304. INFO = -11
  305. ELSE IF( ( WANTZ .AND. LDZ.LT.N ) .OR. LDZ.LT.1 ) THEN
  306. INFO = -13
  307. ELSE IF( LWORK.LT.1 .AND. .NOT.LQUERY ) THEN
  308. INFO = -15
  309. END IF
  310. IF( INFO.NE.0 ) THEN
  311. CALL XERBLA( 'SGGHD3', -INFO )
  312. RETURN
  313. ELSE IF( LQUERY ) THEN
  314. RETURN
  315. END IF
  316. *
  317. * Initialize Q and Z if desired.
  318. *
  319. IF( INITQ )
  320. $ CALL SLASET( 'All', N, N, ZERO, ONE, Q, LDQ )
  321. IF( INITZ )
  322. $ CALL SLASET( 'All', N, N, ZERO, ONE, Z, LDZ )
  323. *
  324. * Zero out lower triangle of B.
  325. *
  326. IF( N.GT.1 )
  327. $ CALL SLASET( 'Lower', N-1, N-1, ZERO, ZERO, B(2, 1), LDB )
  328. *
  329. * Quick return if possible
  330. *
  331. NH = IHI - ILO + 1
  332. IF( NH.LE.1 ) THEN
  333. WORK( 1 ) = ONE
  334. RETURN
  335. END IF
  336. *
  337. * Determine the blocksize.
  338. *
  339. NBMIN = ILAENV( 2, 'SGGHD3', ' ', N, ILO, IHI, -1 )
  340. IF( NB.GT.1 .AND. NB.LT.NH ) THEN
  341. *
  342. * Determine when to use unblocked instead of blocked code.
  343. *
  344. NX = MAX( NB, ILAENV( 3, 'SGGHD3', ' ', N, ILO, IHI, -1 ) )
  345. IF( NX.LT.NH ) THEN
  346. *
  347. * Determine if workspace is large enough for blocked code.
  348. *
  349. IF( LWORK.LT.LWKOPT ) THEN
  350. *
  351. * Not enough workspace to use optimal NB: determine the
  352. * minimum value of NB, and reduce NB or force use of
  353. * unblocked code.
  354. *
  355. NBMIN = MAX( 2, ILAENV( 2, 'SGGHD3', ' ', N, ILO, IHI,
  356. $ -1 ) )
  357. IF( LWORK.GE.6*N*NBMIN ) THEN
  358. NB = LWORK / ( 6*N )
  359. ELSE
  360. NB = 1
  361. END IF
  362. END IF
  363. END IF
  364. END IF
  365. *
  366. IF( NB.LT.NBMIN .OR. NB.GE.NH ) THEN
  367. *
  368. * Use unblocked code below
  369. *
  370. JCOL = ILO
  371. *
  372. ELSE
  373. *
  374. * Use blocked code
  375. *
  376. KACC22 = ILAENV( 16, 'SGGHD3', ' ', N, ILO, IHI, -1 )
  377. BLK22 = KACC22.EQ.2
  378. DO JCOL = ILO, IHI-2, NB
  379. NNB = MIN( NB, IHI-JCOL-1 )
  380. *
  381. * Initialize small orthogonal factors that will hold the
  382. * accumulated Givens rotations in workspace.
  383. * N2NB denotes the number of 2*NNB-by-2*NNB factors
  384. * NBLST denotes the (possibly smaller) order of the last
  385. * factor.
  386. *
  387. N2NB = ( IHI-JCOL-1 ) / NNB - 1
  388. NBLST = IHI - JCOL - N2NB*NNB
  389. CALL SLASET( 'All', NBLST, NBLST, ZERO, ONE, WORK, NBLST )
  390. PW = NBLST * NBLST + 1
  391. DO I = 1, N2NB
  392. CALL SLASET( 'All', 2*NNB, 2*NNB, ZERO, ONE,
  393. $ WORK( PW ), 2*NNB )
  394. PW = PW + 4*NNB*NNB
  395. END DO
  396. *
  397. * Reduce columns JCOL:JCOL+NNB-1 of A to Hessenberg form.
  398. *
  399. DO J = JCOL, JCOL+NNB-1
  400. *
  401. * Reduce Jth column of A. Store cosines and sines in Jth
  402. * column of A and B, respectively.
  403. *
  404. DO I = IHI, J+2, -1
  405. TEMP = A( I-1, J )
  406. CALL SLARTG( TEMP, A( I, J ), C, S, A( I-1, J ) )
  407. A( I, J ) = C
  408. B( I, J ) = S
  409. END DO
  410. *
  411. * Accumulate Givens rotations into workspace array.
  412. *
  413. PPW = ( NBLST + 1 )*( NBLST - 2 ) - J + JCOL + 1
  414. LEN = 2 + J - JCOL
  415. JROW = J + N2NB*NNB + 2
  416. DO I = IHI, JROW, -1
  417. C = A( I, J )
  418. S = B( I, J )
  419. DO JJ = PPW, PPW+LEN-1
  420. TEMP = WORK( JJ + NBLST )
  421. WORK( JJ + NBLST ) = C*TEMP - S*WORK( JJ )
  422. WORK( JJ ) = S*TEMP + C*WORK( JJ )
  423. END DO
  424. LEN = LEN + 1
  425. PPW = PPW - NBLST - 1
  426. END DO
  427. *
  428. PPWO = NBLST*NBLST + ( NNB+J-JCOL-1 )*2*NNB + NNB
  429. J0 = JROW - NNB
  430. DO JROW = J0, J+2, -NNB
  431. PPW = PPWO
  432. LEN = 2 + J - JCOL
  433. DO I = JROW+NNB-1, JROW, -1
  434. C = A( I, J )
  435. S = B( I, J )
  436. DO JJ = PPW, PPW+LEN-1
  437. TEMP = WORK( JJ + 2*NNB )
  438. WORK( JJ + 2*NNB ) = C*TEMP - S*WORK( JJ )
  439. WORK( JJ ) = S*TEMP + C*WORK( JJ )
  440. END DO
  441. LEN = LEN + 1
  442. PPW = PPW - 2*NNB - 1
  443. END DO
  444. PPWO = PPWO + 4*NNB*NNB
  445. END DO
  446. *
  447. * TOP denotes the number of top rows in A and B that will
  448. * not be updated during the next steps.
  449. *
  450. IF( JCOL.LE.2 ) THEN
  451. TOP = 0
  452. ELSE
  453. TOP = JCOL
  454. END IF
  455. *
  456. * Propagate transformations through B and replace stored
  457. * left sines/cosines by right sines/cosines.
  458. *
  459. DO JJ = N, J+1, -1
  460. *
  461. * Update JJth column of B.
  462. *
  463. DO I = MIN( JJ+1, IHI ), J+2, -1
  464. C = A( I, J )
  465. S = B( I, J )
  466. TEMP = B( I, JJ )
  467. B( I, JJ ) = C*TEMP - S*B( I-1, JJ )
  468. B( I-1, JJ ) = S*TEMP + C*B( I-1, JJ )
  469. END DO
  470. *
  471. * Annihilate B( JJ+1, JJ ).
  472. *
  473. IF( JJ.LT.IHI ) THEN
  474. TEMP = B( JJ+1, JJ+1 )
  475. CALL SLARTG( TEMP, B( JJ+1, JJ ), C, S,
  476. $ B( JJ+1, JJ+1 ) )
  477. B( JJ+1, JJ ) = ZERO
  478. CALL SROT( JJ-TOP, B( TOP+1, JJ+1 ), 1,
  479. $ B( TOP+1, JJ ), 1, C, S )
  480. A( JJ+1, J ) = C
  481. B( JJ+1, J ) = -S
  482. END IF
  483. END DO
  484. *
  485. * Update A by transformations from right.
  486. * Explicit loop unrolling provides better performance
  487. * compared to SLASR.
  488. * CALL SLASR( 'Right', 'Variable', 'Backward', IHI-TOP,
  489. * $ IHI-J, A( J+2, J ), B( J+2, J ),
  490. * $ A( TOP+1, J+1 ), LDA )
  491. *
  492. JJ = MOD( IHI-J-1, 3 )
  493. DO I = IHI-J-3, JJ+1, -3
  494. C = A( J+1+I, J )
  495. S = -B( J+1+I, J )
  496. C1 = A( J+2+I, J )
  497. S1 = -B( J+2+I, J )
  498. C2 = A( J+3+I, J )
  499. S2 = -B( J+3+I, J )
  500. *
  501. DO K = TOP+1, IHI
  502. TEMP = A( K, J+I )
  503. TEMP1 = A( K, J+I+1 )
  504. TEMP2 = A( K, J+I+2 )
  505. TEMP3 = A( K, J+I+3 )
  506. A( K, J+I+3 ) = C2*TEMP3 + S2*TEMP2
  507. TEMP2 = -S2*TEMP3 + C2*TEMP2
  508. A( K, J+I+2 ) = C1*TEMP2 + S1*TEMP1
  509. TEMP1 = -S1*TEMP2 + C1*TEMP1
  510. A( K, J+I+1 ) = C*TEMP1 + S*TEMP
  511. A( K, J+I ) = -S*TEMP1 + C*TEMP
  512. END DO
  513. END DO
  514. *
  515. IF( JJ.GT.0 ) THEN
  516. DO I = JJ, 1, -1
  517. CALL SROT( IHI-TOP, A( TOP+1, J+I+1 ), 1,
  518. $ A( TOP+1, J+I ), 1, A( J+1+I, J ),
  519. $ -B( J+1+I, J ) )
  520. END DO
  521. END IF
  522. *
  523. * Update (J+1)th column of A by transformations from left.
  524. *
  525. IF ( J .LT. JCOL + NNB - 1 ) THEN
  526. LEN = 1 + J - JCOL
  527. *
  528. * Multiply with the trailing accumulated orthogonal
  529. * matrix, which takes the form
  530. *
  531. * [ U11 U12 ]
  532. * U = [ ],
  533. * [ U21 U22 ]
  534. *
  535. * where U21 is a LEN-by-LEN matrix and U12 is lower
  536. * triangular.
  537. *
  538. JROW = IHI - NBLST + 1
  539. CALL SGEMV( 'Transpose', NBLST, LEN, ONE, WORK,
  540. $ NBLST, A( JROW, J+1 ), 1, ZERO,
  541. $ WORK( PW ), 1 )
  542. PPW = PW + LEN
  543. DO I = JROW, JROW+NBLST-LEN-1
  544. WORK( PPW ) = A( I, J+1 )
  545. PPW = PPW + 1
  546. END DO
  547. CALL STRMV( 'Lower', 'Transpose', 'Non-unit',
  548. $ NBLST-LEN, WORK( LEN*NBLST + 1 ), NBLST,
  549. $ WORK( PW+LEN ), 1 )
  550. CALL SGEMV( 'Transpose', LEN, NBLST-LEN, ONE,
  551. $ WORK( (LEN+1)*NBLST - LEN + 1 ), NBLST,
  552. $ A( JROW+NBLST-LEN, J+1 ), 1, ONE,
  553. $ WORK( PW+LEN ), 1 )
  554. PPW = PW
  555. DO I = JROW, JROW+NBLST-1
  556. A( I, J+1 ) = WORK( PPW )
  557. PPW = PPW + 1
  558. END DO
  559. *
  560. * Multiply with the other accumulated orthogonal
  561. * matrices, which take the form
  562. *
  563. * [ U11 U12 0 ]
  564. * [ ]
  565. * U = [ U21 U22 0 ],
  566. * [ ]
  567. * [ 0 0 I ]
  568. *
  569. * where I denotes the (NNB-LEN)-by-(NNB-LEN) identity
  570. * matrix, U21 is a LEN-by-LEN upper triangular matrix
  571. * and U12 is an NNB-by-NNB lower triangular matrix.
  572. *
  573. PPWO = 1 + NBLST*NBLST
  574. J0 = JROW - NNB
  575. DO JROW = J0, JCOL+1, -NNB
  576. PPW = PW + LEN
  577. DO I = JROW, JROW+NNB-1
  578. WORK( PPW ) = A( I, J+1 )
  579. PPW = PPW + 1
  580. END DO
  581. PPW = PW
  582. DO I = JROW+NNB, JROW+NNB+LEN-1
  583. WORK( PPW ) = A( I, J+1 )
  584. PPW = PPW + 1
  585. END DO
  586. CALL STRMV( 'Upper', 'Transpose', 'Non-unit', LEN,
  587. $ WORK( PPWO + NNB ), 2*NNB, WORK( PW ),
  588. $ 1 )
  589. CALL STRMV( 'Lower', 'Transpose', 'Non-unit', NNB,
  590. $ WORK( PPWO + 2*LEN*NNB ),
  591. $ 2*NNB, WORK( PW + LEN ), 1 )
  592. CALL SGEMV( 'Transpose', NNB, LEN, ONE,
  593. $ WORK( PPWO ), 2*NNB, A( JROW, J+1 ), 1,
  594. $ ONE, WORK( PW ), 1 )
  595. CALL SGEMV( 'Transpose', LEN, NNB, ONE,
  596. $ WORK( PPWO + 2*LEN*NNB + NNB ), 2*NNB,
  597. $ A( JROW+NNB, J+1 ), 1, ONE,
  598. $ WORK( PW+LEN ), 1 )
  599. PPW = PW
  600. DO I = JROW, JROW+LEN+NNB-1
  601. A( I, J+1 ) = WORK( PPW )
  602. PPW = PPW + 1
  603. END DO
  604. PPWO = PPWO + 4*NNB*NNB
  605. END DO
  606. END IF
  607. END DO
  608. *
  609. * Apply accumulated orthogonal matrices to A.
  610. *
  611. COLA = N - JCOL - NNB + 1
  612. J = IHI - NBLST + 1
  613. CALL SGEMM( 'Transpose', 'No Transpose', NBLST,
  614. $ COLA, NBLST, ONE, WORK, NBLST,
  615. $ A( J, JCOL+NNB ), LDA, ZERO, WORK( PW ),
  616. $ NBLST )
  617. CALL SLACPY( 'All', NBLST, COLA, WORK( PW ), NBLST,
  618. $ A( J, JCOL+NNB ), LDA )
  619. PPWO = NBLST*NBLST + 1
  620. J0 = J - NNB
  621. DO J = J0, JCOL+1, -NNB
  622. IF ( BLK22 ) THEN
  623. *
  624. * Exploit the structure of
  625. *
  626. * [ U11 U12 ]
  627. * U = [ ]
  628. * [ U21 U22 ],
  629. *
  630. * where all blocks are NNB-by-NNB, U21 is upper
  631. * triangular and U12 is lower triangular.
  632. *
  633. CALL SORM22( 'Left', 'Transpose', 2*NNB, COLA, NNB,
  634. $ NNB, WORK( PPWO ), 2*NNB,
  635. $ A( J, JCOL+NNB ), LDA, WORK( PW ),
  636. $ LWORK-PW+1, IERR )
  637. ELSE
  638. *
  639. * Ignore the structure of U.
  640. *
  641. CALL SGEMM( 'Transpose', 'No Transpose', 2*NNB,
  642. $ COLA, 2*NNB, ONE, WORK( PPWO ), 2*NNB,
  643. $ A( J, JCOL+NNB ), LDA, ZERO, WORK( PW ),
  644. $ 2*NNB )
  645. CALL SLACPY( 'All', 2*NNB, COLA, WORK( PW ), 2*NNB,
  646. $ A( J, JCOL+NNB ), LDA )
  647. END IF
  648. PPWO = PPWO + 4*NNB*NNB
  649. END DO
  650. *
  651. * Apply accumulated orthogonal matrices to Q.
  652. *
  653. IF( WANTQ ) THEN
  654. J = IHI - NBLST + 1
  655. IF ( INITQ ) THEN
  656. TOPQ = MAX( 2, J - JCOL + 1 )
  657. NH = IHI - TOPQ + 1
  658. ELSE
  659. TOPQ = 1
  660. NH = N
  661. END IF
  662. CALL SGEMM( 'No Transpose', 'No Transpose', NH,
  663. $ NBLST, NBLST, ONE, Q( TOPQ, J ), LDQ,
  664. $ WORK, NBLST, ZERO, WORK( PW ), NH )
  665. CALL SLACPY( 'All', NH, NBLST, WORK( PW ), NH,
  666. $ Q( TOPQ, J ), LDQ )
  667. PPWO = NBLST*NBLST + 1
  668. J0 = J - NNB
  669. DO J = J0, JCOL+1, -NNB
  670. IF ( INITQ ) THEN
  671. TOPQ = MAX( 2, J - JCOL + 1 )
  672. NH = IHI - TOPQ + 1
  673. END IF
  674. IF ( BLK22 ) THEN
  675. *
  676. * Exploit the structure of U.
  677. *
  678. CALL SORM22( 'Right', 'No Transpose', NH, 2*NNB,
  679. $ NNB, NNB, WORK( PPWO ), 2*NNB,
  680. $ Q( TOPQ, J ), LDQ, WORK( PW ),
  681. $ LWORK-PW+1, IERR )
  682. ELSE
  683. *
  684. * Ignore the structure of U.
  685. *
  686. CALL SGEMM( 'No Transpose', 'No Transpose', NH,
  687. $ 2*NNB, 2*NNB, ONE, Q( TOPQ, J ), LDQ,
  688. $ WORK( PPWO ), 2*NNB, ZERO, WORK( PW ),
  689. $ NH )
  690. CALL SLACPY( 'All', NH, 2*NNB, WORK( PW ), NH,
  691. $ Q( TOPQ, J ), LDQ )
  692. END IF
  693. PPWO = PPWO + 4*NNB*NNB
  694. END DO
  695. END IF
  696. *
  697. * Accumulate right Givens rotations if required.
  698. *
  699. IF ( WANTZ .OR. TOP.GT.0 ) THEN
  700. *
  701. * Initialize small orthogonal factors that will hold the
  702. * accumulated Givens rotations in workspace.
  703. *
  704. CALL SLASET( 'All', NBLST, NBLST, ZERO, ONE, WORK,
  705. $ NBLST )
  706. PW = NBLST * NBLST + 1
  707. DO I = 1, N2NB
  708. CALL SLASET( 'All', 2*NNB, 2*NNB, ZERO, ONE,
  709. $ WORK( PW ), 2*NNB )
  710. PW = PW + 4*NNB*NNB
  711. END DO
  712. *
  713. * Accumulate Givens rotations into workspace array.
  714. *
  715. DO J = JCOL, JCOL+NNB-1
  716. PPW = ( NBLST + 1 )*( NBLST - 2 ) - J + JCOL + 1
  717. LEN = 2 + J - JCOL
  718. JROW = J + N2NB*NNB + 2
  719. DO I = IHI, JROW, -1
  720. C = A( I, J )
  721. A( I, J ) = ZERO
  722. S = B( I, J )
  723. B( I, J ) = ZERO
  724. DO JJ = PPW, PPW+LEN-1
  725. TEMP = WORK( JJ + NBLST )
  726. WORK( JJ + NBLST ) = C*TEMP - S*WORK( JJ )
  727. WORK( JJ ) = S*TEMP + C*WORK( JJ )
  728. END DO
  729. LEN = LEN + 1
  730. PPW = PPW - NBLST - 1
  731. END DO
  732. *
  733. PPWO = NBLST*NBLST + ( NNB+J-JCOL-1 )*2*NNB + NNB
  734. J0 = JROW - NNB
  735. DO JROW = J0, J+2, -NNB
  736. PPW = PPWO
  737. LEN = 2 + J - JCOL
  738. DO I = JROW+NNB-1, JROW, -1
  739. C = A( I, J )
  740. A( I, J ) = ZERO
  741. S = B( I, J )
  742. B( I, J ) = ZERO
  743. DO JJ = PPW, PPW+LEN-1
  744. TEMP = WORK( JJ + 2*NNB )
  745. WORK( JJ + 2*NNB ) = C*TEMP - S*WORK( JJ )
  746. WORK( JJ ) = S*TEMP + C*WORK( JJ )
  747. END DO
  748. LEN = LEN + 1
  749. PPW = PPW - 2*NNB - 1
  750. END DO
  751. PPWO = PPWO + 4*NNB*NNB
  752. END DO
  753. END DO
  754. ELSE
  755. *
  756. CALL SLASET( 'Lower', IHI - JCOL - 1, NNB, ZERO, ZERO,
  757. $ A( JCOL + 2, JCOL ), LDA )
  758. CALL SLASET( 'Lower', IHI - JCOL - 1, NNB, ZERO, ZERO,
  759. $ B( JCOL + 2, JCOL ), LDB )
  760. END IF
  761. *
  762. * Apply accumulated orthogonal matrices to A and B.
  763. *
  764. IF ( TOP.GT.0 ) THEN
  765. J = IHI - NBLST + 1
  766. CALL SGEMM( 'No Transpose', 'No Transpose', TOP,
  767. $ NBLST, NBLST, ONE, A( 1, J ), LDA,
  768. $ WORK, NBLST, ZERO, WORK( PW ), TOP )
  769. CALL SLACPY( 'All', TOP, NBLST, WORK( PW ), TOP,
  770. $ A( 1, J ), LDA )
  771. PPWO = NBLST*NBLST + 1
  772. J0 = J - NNB
  773. DO J = J0, JCOL+1, -NNB
  774. IF ( BLK22 ) THEN
  775. *
  776. * Exploit the structure of U.
  777. *
  778. CALL SORM22( 'Right', 'No Transpose', TOP, 2*NNB,
  779. $ NNB, NNB, WORK( PPWO ), 2*NNB,
  780. $ A( 1, J ), LDA, WORK( PW ),
  781. $ LWORK-PW+1, IERR )
  782. ELSE
  783. *
  784. * Ignore the structure of U.
  785. *
  786. CALL SGEMM( 'No Transpose', 'No Transpose', TOP,
  787. $ 2*NNB, 2*NNB, ONE, A( 1, J ), LDA,
  788. $ WORK( PPWO ), 2*NNB, ZERO,
  789. $ WORK( PW ), TOP )
  790. CALL SLACPY( 'All', TOP, 2*NNB, WORK( PW ), TOP,
  791. $ A( 1, J ), LDA )
  792. END IF
  793. PPWO = PPWO + 4*NNB*NNB
  794. END DO
  795. *
  796. J = IHI - NBLST + 1
  797. CALL SGEMM( 'No Transpose', 'No Transpose', TOP,
  798. $ NBLST, NBLST, ONE, B( 1, J ), LDB,
  799. $ WORK, NBLST, ZERO, WORK( PW ), TOP )
  800. CALL SLACPY( 'All', TOP, NBLST, WORK( PW ), TOP,
  801. $ B( 1, J ), LDB )
  802. PPWO = NBLST*NBLST + 1
  803. J0 = J - NNB
  804. DO J = J0, JCOL+1, -NNB
  805. IF ( BLK22 ) THEN
  806. *
  807. * Exploit the structure of U.
  808. *
  809. CALL SORM22( 'Right', 'No Transpose', TOP, 2*NNB,
  810. $ NNB, NNB, WORK( PPWO ), 2*NNB,
  811. $ B( 1, J ), LDB, WORK( PW ),
  812. $ LWORK-PW+1, IERR )
  813. ELSE
  814. *
  815. * Ignore the structure of U.
  816. *
  817. CALL SGEMM( 'No Transpose', 'No Transpose', TOP,
  818. $ 2*NNB, 2*NNB, ONE, B( 1, J ), LDB,
  819. $ WORK( PPWO ), 2*NNB, ZERO,
  820. $ WORK( PW ), TOP )
  821. CALL SLACPY( 'All', TOP, 2*NNB, WORK( PW ), TOP,
  822. $ B( 1, J ), LDB )
  823. END IF
  824. PPWO = PPWO + 4*NNB*NNB
  825. END DO
  826. END IF
  827. *
  828. * Apply accumulated orthogonal matrices to Z.
  829. *
  830. IF( WANTZ ) THEN
  831. J = IHI - NBLST + 1
  832. IF ( INITQ ) THEN
  833. TOPQ = MAX( 2, J - JCOL + 1 )
  834. NH = IHI - TOPQ + 1
  835. ELSE
  836. TOPQ = 1
  837. NH = N
  838. END IF
  839. CALL SGEMM( 'No Transpose', 'No Transpose', NH,
  840. $ NBLST, NBLST, ONE, Z( TOPQ, J ), LDZ,
  841. $ WORK, NBLST, ZERO, WORK( PW ), NH )
  842. CALL SLACPY( 'All', NH, NBLST, WORK( PW ), NH,
  843. $ Z( TOPQ, J ), LDZ )
  844. PPWO = NBLST*NBLST + 1
  845. J0 = J - NNB
  846. DO J = J0, JCOL+1, -NNB
  847. IF ( INITQ ) THEN
  848. TOPQ = MAX( 2, J - JCOL + 1 )
  849. NH = IHI - TOPQ + 1
  850. END IF
  851. IF ( BLK22 ) THEN
  852. *
  853. * Exploit the structure of U.
  854. *
  855. CALL SORM22( 'Right', 'No Transpose', NH, 2*NNB,
  856. $ NNB, NNB, WORK( PPWO ), 2*NNB,
  857. $ Z( TOPQ, J ), LDZ, WORK( PW ),
  858. $ LWORK-PW+1, IERR )
  859. ELSE
  860. *
  861. * Ignore the structure of U.
  862. *
  863. CALL SGEMM( 'No Transpose', 'No Transpose', NH,
  864. $ 2*NNB, 2*NNB, ONE, Z( TOPQ, J ), LDZ,
  865. $ WORK( PPWO ), 2*NNB, ZERO, WORK( PW ),
  866. $ NH )
  867. CALL SLACPY( 'All', NH, 2*NNB, WORK( PW ), NH,
  868. $ Z( TOPQ, J ), LDZ )
  869. END IF
  870. PPWO = PPWO + 4*NNB*NNB
  871. END DO
  872. END IF
  873. END DO
  874. END IF
  875. *
  876. * Use unblocked code to reduce the rest of the matrix
  877. * Avoid re-initialization of modified Q and Z.
  878. *
  879. COMPQ2 = COMPQ
  880. COMPZ2 = COMPZ
  881. IF ( JCOL.NE.ILO ) THEN
  882. IF ( WANTQ )
  883. $ COMPQ2 = 'V'
  884. IF ( WANTZ )
  885. $ COMPZ2 = 'V'
  886. END IF
  887. *
  888. IF ( JCOL.LT.IHI )
  889. $ CALL SGGHRD( COMPQ2, COMPZ2, N, JCOL, IHI, A, LDA, B, LDB, Q,
  890. $ LDQ, Z, LDZ, IERR )
  891. WORK( 1 ) = REAL( LWKOPT )
  892. *
  893. RETURN
  894. *
  895. * End of SGGHD3
  896. *
  897. END