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sggev3.f 19 kB

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  1. *> \brief <b> SGGEV3 computes the eigenvalues and, optionally, the left and/or right eigenvectors for GE matrices (blocked algorithm)</b>
  2. *
  3. * =========== DOCUMENTATION ===========
  4. *
  5. * Online html documentation available at
  6. * http://www.netlib.org/lapack/explore-html/
  7. *
  8. *> \htmlonly
  9. *> Download SGGEV3 + dependencies
  10. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/sggev3.f">
  11. *> [TGZ]</a>
  12. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/sggev3.f">
  13. *> [ZIP]</a>
  14. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/sggev3.f">
  15. *> [TXT]</a>
  16. *> \endhtmlonly
  17. *
  18. * Definition:
  19. * ===========
  20. *
  21. * SUBROUTINE SGGEV3( JOBVL, JOBVR, N, A, LDA, B, LDB, ALPHAR,
  22. * $ ALPHAI, BETA, VL, LDVL, VR, LDVR, WORK, LWORK,
  23. * $ INFO )
  24. *
  25. * .. Scalar Arguments ..
  26. * CHARACTER JOBVL, JOBVR
  27. * INTEGER INFO, LDA, LDB, LDVL, LDVR, LWORK, N
  28. * ..
  29. * .. Array Arguments ..
  30. * REAL A( LDA, * ), ALPHAI( * ), ALPHAR( * ),
  31. * $ B( LDB, * ), BETA( * ), VL( LDVL, * ),
  32. * $ VR( LDVR, * ), WORK( * )
  33. * ..
  34. *
  35. *
  36. *> \par Purpose:
  37. * =============
  38. *>
  39. *> \verbatim
  40. *>
  41. *> SGGEV3 computes for a pair of N-by-N real nonsymmetric matrices (A,B)
  42. *> the generalized eigenvalues, and optionally, the left and/or right
  43. *> generalized eigenvectors.
  44. *>
  45. *> A generalized eigenvalue for a pair of matrices (A,B) is a scalar
  46. *> lambda or a ratio alpha/beta = lambda, such that A - lambda*B is
  47. *> singular. It is usually represented as the pair (alpha,beta), as
  48. *> there is a reasonable interpretation for beta=0, and even for both
  49. *> being zero.
  50. *>
  51. *> The right eigenvector v(j) corresponding to the eigenvalue lambda(j)
  52. *> of (A,B) satisfies
  53. *>
  54. *> A * v(j) = lambda(j) * B * v(j).
  55. *>
  56. *> The left eigenvector u(j) corresponding to the eigenvalue lambda(j)
  57. *> of (A,B) satisfies
  58. *>
  59. *> u(j)**H * A = lambda(j) * u(j)**H * B .
  60. *>
  61. *> where u(j)**H is the conjugate-transpose of u(j).
  62. *>
  63. *> \endverbatim
  64. *
  65. * Arguments:
  66. * ==========
  67. *
  68. *> \param[in] JOBVL
  69. *> \verbatim
  70. *> JOBVL is CHARACTER*1
  71. *> = 'N': do not compute the left generalized eigenvectors;
  72. *> = 'V': compute the left generalized eigenvectors.
  73. *> \endverbatim
  74. *>
  75. *> \param[in] JOBVR
  76. *> \verbatim
  77. *> JOBVR is CHARACTER*1
  78. *> = 'N': do not compute the right generalized eigenvectors;
  79. *> = 'V': compute the right generalized eigenvectors.
  80. *> \endverbatim
  81. *>
  82. *> \param[in] N
  83. *> \verbatim
  84. *> N is INTEGER
  85. *> The order of the matrices A, B, VL, and VR. N >= 0.
  86. *> \endverbatim
  87. *>
  88. *> \param[in,out] A
  89. *> \verbatim
  90. *> A is REAL array, dimension (LDA, N)
  91. *> On entry, the matrix A in the pair (A,B).
  92. *> On exit, A has been overwritten.
  93. *> \endverbatim
  94. *>
  95. *> \param[in] LDA
  96. *> \verbatim
  97. *> LDA is INTEGER
  98. *> The leading dimension of A. LDA >= max(1,N).
  99. *> \endverbatim
  100. *>
  101. *> \param[in,out] B
  102. *> \verbatim
  103. *> B is REAL array, dimension (LDB, N)
  104. *> On entry, the matrix B in the pair (A,B).
  105. *> On exit, B has been overwritten.
  106. *> \endverbatim
  107. *>
  108. *> \param[in] LDB
  109. *> \verbatim
  110. *> LDB is INTEGER
  111. *> The leading dimension of B. LDB >= max(1,N).
  112. *> \endverbatim
  113. *>
  114. *> \param[out] ALPHAR
  115. *> \verbatim
  116. *> ALPHAR is REAL array, dimension (N)
  117. *> \endverbatim
  118. *>
  119. *> \param[out] ALPHAI
  120. *> \verbatim
  121. *> ALPHAI is REAL array, dimension (N)
  122. *> \endverbatim
  123. *>
  124. *> \param[out] BETA
  125. *> \verbatim
  126. *> BETA is REAL array, dimension (N)
  127. *> On exit, (ALPHAR(j) + ALPHAI(j)*i)/BETA(j), j=1,...,N, will
  128. *> be the generalized eigenvalues. If ALPHAI(j) is zero, then
  129. *> the j-th eigenvalue is real; if positive, then the j-th and
  130. *> (j+1)-st eigenvalues are a complex conjugate pair, with
  131. *> ALPHAI(j+1) negative.
  132. *>
  133. *> Note: the quotients ALPHAR(j)/BETA(j) and ALPHAI(j)/BETA(j)
  134. *> may easily over- or underflow, and BETA(j) may even be zero.
  135. *> Thus, the user should avoid naively computing the ratio
  136. *> alpha/beta. However, ALPHAR and ALPHAI will be always less
  137. *> than and usually comparable with norm(A) in magnitude, and
  138. *> BETA always less than and usually comparable with norm(B).
  139. *> \endverbatim
  140. *>
  141. *> \param[out] VL
  142. *> \verbatim
  143. *> VL is REAL array, dimension (LDVL,N)
  144. *> If JOBVL = 'V', the left eigenvectors u(j) are stored one
  145. *> after another in the columns of VL, in the same order as
  146. *> their eigenvalues. If the j-th eigenvalue is real, then
  147. *> u(j) = VL(:,j), the j-th column of VL. If the j-th and
  148. *> (j+1)-th eigenvalues form a complex conjugate pair, then
  149. *> u(j) = VL(:,j)+i*VL(:,j+1) and u(j+1) = VL(:,j)-i*VL(:,j+1).
  150. *> Each eigenvector is scaled so the largest component has
  151. *> abs(real part)+abs(imag. part)=1.
  152. *> Not referenced if JOBVL = 'N'.
  153. *> \endverbatim
  154. *>
  155. *> \param[in] LDVL
  156. *> \verbatim
  157. *> LDVL is INTEGER
  158. *> The leading dimension of the matrix VL. LDVL >= 1, and
  159. *> if JOBVL = 'V', LDVL >= N.
  160. *> \endverbatim
  161. *>
  162. *> \param[out] VR
  163. *> \verbatim
  164. *> VR is REAL array, dimension (LDVR,N)
  165. *> If JOBVR = 'V', the right eigenvectors v(j) are stored one
  166. *> after another in the columns of VR, in the same order as
  167. *> their eigenvalues. If the j-th eigenvalue is real, then
  168. *> v(j) = VR(:,j), the j-th column of VR. If the j-th and
  169. *> (j+1)-th eigenvalues form a complex conjugate pair, then
  170. *> v(j) = VR(:,j)+i*VR(:,j+1) and v(j+1) = VR(:,j)-i*VR(:,j+1).
  171. *> Each eigenvector is scaled so the largest component has
  172. *> abs(real part)+abs(imag. part)=1.
  173. *> Not referenced if JOBVR = 'N'.
  174. *> \endverbatim
  175. *>
  176. *> \param[in] LDVR
  177. *> \verbatim
  178. *> LDVR is INTEGER
  179. *> The leading dimension of the matrix VR. LDVR >= 1, and
  180. *> if JOBVR = 'V', LDVR >= N.
  181. *> \endverbatim
  182. *>
  183. *> \param[out] WORK
  184. *> \verbatim
  185. *> WORK is REAL array, dimension (MAX(1,LWORK))
  186. *> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
  187. *> \endverbatim
  188. *>
  189. *> \param[in] LWORK
  190. *> \verbatim
  191. *> LWORK is INTEGER
  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. *> = 1,...,N:
  205. *> The QZ iteration failed. No eigenvectors have been
  206. *> calculated, but ALPHAR(j), ALPHAI(j), and BETA(j)
  207. *> should be correct for j=INFO+1,...,N.
  208. *> > N: =N+1: other than QZ iteration failed in SLAQZ0.
  209. *> =N+2: error return from STGEVC.
  210. *> \endverbatim
  211. *
  212. * Authors:
  213. * ========
  214. *
  215. *> \author Univ. of Tennessee
  216. *> \author Univ. of California Berkeley
  217. *> \author Univ. of Colorado Denver
  218. *> \author NAG Ltd.
  219. *
  220. *> \ingroup ggev3
  221. *
  222. * =====================================================================
  223. SUBROUTINE SGGEV3( JOBVL, JOBVR, N, A, LDA, B, LDB, ALPHAR,
  224. $ ALPHAI, BETA, VL, LDVL, VR, LDVR, WORK, LWORK,
  225. $ INFO )
  226. *
  227. * -- LAPACK driver routine --
  228. * -- LAPACK is a software package provided by Univ. of Tennessee, --
  229. * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  230. *
  231. * .. Scalar Arguments ..
  232. CHARACTER JOBVL, JOBVR
  233. INTEGER INFO, LDA, LDB, LDVL, LDVR, LWORK, N
  234. * ..
  235. * .. Array Arguments ..
  236. REAL A( LDA, * ), ALPHAI( * ), ALPHAR( * ),
  237. $ B( LDB, * ), BETA( * ), VL( LDVL, * ),
  238. $ VR( LDVR, * ), WORK( * )
  239. * ..
  240. *
  241. * =====================================================================
  242. *
  243. * .. Parameters ..
  244. REAL ZERO, ONE
  245. PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
  246. * ..
  247. * .. Local Scalars ..
  248. LOGICAL ILASCL, ILBSCL, ILV, ILVL, ILVR, LQUERY
  249. CHARACTER CHTEMP
  250. INTEGER ICOLS, IERR, IHI, IJOBVL, IJOBVR, ILEFT, ILO,
  251. $ IN, IRIGHT, IROWS, ITAU, IWRK, JC, JR, LWKOPT
  252. REAL ANRM, ANRMTO, BIGNUM, BNRM, BNRMTO, EPS,
  253. $ SMLNUM, TEMP
  254. * ..
  255. * .. Local Arrays ..
  256. LOGICAL LDUMMA( 1 )
  257. * ..
  258. * .. External Subroutines ..
  259. EXTERNAL SGEQRF, SGGBAK, SGGBAL, SGGHD3, SLAQZ0, SLACPY,
  260. $ SLASCL, SLASET, SORGQR, SORMQR, STGEVC
  261. * ..
  262. * .. External Functions ..
  263. LOGICAL LSAME
  264. REAL SLAMCH, SLANGE, SROUNDUP_LWORK
  265. EXTERNAL LSAME, SLAMCH, SLANGE, SROUNDUP_LWORK
  266. * ..
  267. * .. Intrinsic Functions ..
  268. INTRINSIC ABS, MAX, SQRT
  269. * ..
  270. * .. Executable Statements ..
  271. *
  272. * Decode the input arguments
  273. *
  274. IF( LSAME( JOBVL, 'N' ) ) THEN
  275. IJOBVL = 1
  276. ILVL = .FALSE.
  277. ELSE IF( LSAME( JOBVL, 'V' ) ) THEN
  278. IJOBVL = 2
  279. ILVL = .TRUE.
  280. ELSE
  281. IJOBVL = -1
  282. ILVL = .FALSE.
  283. END IF
  284. *
  285. IF( LSAME( JOBVR, 'N' ) ) THEN
  286. IJOBVR = 1
  287. ILVR = .FALSE.
  288. ELSE IF( LSAME( JOBVR, 'V' ) ) THEN
  289. IJOBVR = 2
  290. ILVR = .TRUE.
  291. ELSE
  292. IJOBVR = -1
  293. ILVR = .FALSE.
  294. END IF
  295. ILV = ILVL .OR. ILVR
  296. *
  297. * Test the input arguments
  298. *
  299. INFO = 0
  300. LQUERY = ( LWORK.EQ.-1 )
  301. IF( IJOBVL.LE.0 ) THEN
  302. INFO = -1
  303. ELSE IF( IJOBVR.LE.0 ) THEN
  304. INFO = -2
  305. ELSE IF( N.LT.0 ) THEN
  306. INFO = -3
  307. ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
  308. INFO = -5
  309. ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
  310. INFO = -7
  311. ELSE IF( LDVL.LT.1 .OR. ( ILVL .AND. LDVL.LT.N ) ) THEN
  312. INFO = -12
  313. ELSE IF( LDVR.LT.1 .OR. ( ILVR .AND. LDVR.LT.N ) ) THEN
  314. INFO = -14
  315. ELSE IF( LWORK.LT.MAX( 1, 8*N ) .AND. .NOT.LQUERY ) THEN
  316. INFO = -16
  317. END IF
  318. *
  319. * Compute workspace
  320. *
  321. IF( INFO.EQ.0 ) THEN
  322. CALL SGEQRF( N, N, B, LDB, WORK, WORK, -1, IERR )
  323. LWKOPT = MAX( 1, 8*N, 3*N+INT ( WORK( 1 ) ) )
  324. CALL SORMQR( 'L', 'T', N, N, N, B, LDB, WORK, A, LDA, WORK,
  325. $ -1, IERR )
  326. LWKOPT = MAX( LWKOPT, 3*N+INT ( WORK( 1 ) ) )
  327. CALL SGGHD3( JOBVL, JOBVR, N, 1, N, A, LDA, B, LDB, VL, LDVL,
  328. $ VR, LDVR, WORK, -1, IERR )
  329. LWKOPT = MAX( LWKOPT, 3*N+INT ( WORK( 1 ) ) )
  330. IF( ILVL ) THEN
  331. CALL SORGQR( N, N, N, VL, LDVL, WORK, WORK, -1, IERR )
  332. LWKOPT = MAX( LWKOPT, 3*N+INT ( WORK( 1 ) ) )
  333. CALL SLAQZ0( 'S', JOBVL, JOBVR, N, 1, N, A, LDA, B, LDB,
  334. $ ALPHAR, ALPHAI, BETA, VL, LDVL, VR, LDVR,
  335. $ WORK, -1, 0, IERR )
  336. LWKOPT = MAX( LWKOPT, 2*N+INT ( WORK( 1 ) ) )
  337. ELSE
  338. CALL SLAQZ0( 'E', JOBVL, JOBVR, N, 1, N, A, LDA, B, LDB,
  339. $ ALPHAR, ALPHAI, BETA, VL, LDVL, VR, LDVR,
  340. $ WORK, -1, 0, IERR )
  341. LWKOPT = MAX( LWKOPT, 2*N+INT ( WORK( 1 ) ) )
  342. END IF
  343. WORK( 1 ) = SROUNDUP_LWORK( LWKOPT )
  344. *
  345. END IF
  346. *
  347. IF( INFO.NE.0 ) THEN
  348. CALL XERBLA( 'SGGEV3 ', -INFO )
  349. RETURN
  350. ELSE IF( LQUERY ) THEN
  351. RETURN
  352. END IF
  353. *
  354. * Quick return if possible
  355. *
  356. IF( N.EQ.0 )
  357. $ RETURN
  358. *
  359. * Get machine constants
  360. *
  361. EPS = SLAMCH( 'P' )
  362. SMLNUM = SLAMCH( 'S' )
  363. BIGNUM = ONE / SMLNUM
  364. SMLNUM = SQRT( SMLNUM ) / EPS
  365. BIGNUM = ONE / SMLNUM
  366. *
  367. * Scale A if max element outside range [SMLNUM,BIGNUM]
  368. *
  369. ANRM = SLANGE( 'M', N, N, A, LDA, WORK )
  370. ILASCL = .FALSE.
  371. IF( ANRM.GT.ZERO .AND. ANRM.LT.SMLNUM ) THEN
  372. ANRMTO = SMLNUM
  373. ILASCL = .TRUE.
  374. ELSE IF( ANRM.GT.BIGNUM ) THEN
  375. ANRMTO = BIGNUM
  376. ILASCL = .TRUE.
  377. END IF
  378. IF( ILASCL )
  379. $ CALL SLASCL( 'G', 0, 0, ANRM, ANRMTO, N, N, A, LDA, IERR )
  380. *
  381. * Scale B if max element outside range [SMLNUM,BIGNUM]
  382. *
  383. BNRM = SLANGE( 'M', N, N, B, LDB, WORK )
  384. ILBSCL = .FALSE.
  385. IF( BNRM.GT.ZERO .AND. BNRM.LT.SMLNUM ) THEN
  386. BNRMTO = SMLNUM
  387. ILBSCL = .TRUE.
  388. ELSE IF( BNRM.GT.BIGNUM ) THEN
  389. BNRMTO = BIGNUM
  390. ILBSCL = .TRUE.
  391. END IF
  392. IF( ILBSCL )
  393. $ CALL SLASCL( 'G', 0, 0, BNRM, BNRMTO, N, N, B, LDB, IERR )
  394. *
  395. * Permute the matrices A, B to isolate eigenvalues if possible
  396. *
  397. ILEFT = 1
  398. IRIGHT = N + 1
  399. IWRK = IRIGHT + N
  400. CALL SGGBAL( 'P', N, A, LDA, B, LDB, ILO, IHI, WORK( ILEFT ),
  401. $ WORK( IRIGHT ), WORK( IWRK ), IERR )
  402. *
  403. * Reduce B to triangular form (QR decomposition of B)
  404. *
  405. IROWS = IHI + 1 - ILO
  406. IF( ILV ) THEN
  407. ICOLS = N + 1 - ILO
  408. ELSE
  409. ICOLS = IROWS
  410. END IF
  411. ITAU = IWRK
  412. IWRK = ITAU + IROWS
  413. CALL SGEQRF( IROWS, ICOLS, B( ILO, ILO ), LDB, WORK( ITAU ),
  414. $ WORK( IWRK ), LWORK+1-IWRK, IERR )
  415. *
  416. * Apply the orthogonal transformation to matrix A
  417. *
  418. CALL SORMQR( 'L', 'T', IROWS, ICOLS, IROWS, B( ILO, ILO ), LDB,
  419. $ WORK( ITAU ), A( ILO, ILO ), LDA, WORK( IWRK ),
  420. $ LWORK+1-IWRK, IERR )
  421. *
  422. * Initialize VL
  423. *
  424. IF( ILVL ) THEN
  425. CALL SLASET( 'Full', N, N, ZERO, ONE, VL, LDVL )
  426. IF( IROWS.GT.1 ) THEN
  427. CALL SLACPY( 'L', IROWS-1, IROWS-1, B( ILO+1, ILO ), LDB,
  428. $ VL( ILO+1, ILO ), LDVL )
  429. END IF
  430. CALL SORGQR( IROWS, IROWS, IROWS, VL( ILO, ILO ), LDVL,
  431. $ WORK( ITAU ), WORK( IWRK ), LWORK+1-IWRK, IERR )
  432. END IF
  433. *
  434. * Initialize VR
  435. *
  436. IF( ILVR )
  437. $ CALL SLASET( 'Full', N, N, ZERO, ONE, VR, LDVR )
  438. *
  439. * Reduce to generalized Hessenberg form
  440. *
  441. IF( ILV ) THEN
  442. *
  443. * Eigenvectors requested -- work on whole matrix.
  444. *
  445. CALL SGGHD3( JOBVL, JOBVR, N, ILO, IHI, A, LDA, B, LDB, VL,
  446. $ LDVL, VR, LDVR, WORK( IWRK ), LWORK+1-IWRK, IERR )
  447. ELSE
  448. CALL SGGHD3( 'N', 'N', IROWS, 1, IROWS, A( ILO, ILO ), LDA,
  449. $ B( ILO, ILO ), LDB, VL, LDVL, VR, LDVR,
  450. $ WORK( IWRK ), LWORK+1-IWRK, IERR )
  451. END IF
  452. *
  453. * Perform QZ algorithm (Compute eigenvalues, and optionally, the
  454. * Schur forms and Schur vectors)
  455. *
  456. IWRK = ITAU
  457. IF( ILV ) THEN
  458. CHTEMP = 'S'
  459. ELSE
  460. CHTEMP = 'E'
  461. END IF
  462. CALL SLAQZ0( CHTEMP, JOBVL, JOBVR, N, ILO, IHI, A, LDA, B, LDB,
  463. $ ALPHAR, ALPHAI, BETA, VL, LDVL, VR, LDVR,
  464. $ WORK( IWRK ), LWORK+1-IWRK, 0, IERR )
  465. IF( IERR.NE.0 ) THEN
  466. IF( IERR.GT.0 .AND. IERR.LE.N ) THEN
  467. INFO = IERR
  468. ELSE IF( IERR.GT.N .AND. IERR.LE.2*N ) THEN
  469. INFO = IERR - N
  470. ELSE
  471. INFO = N + 1
  472. END IF
  473. GO TO 110
  474. END IF
  475. *
  476. * Compute Eigenvectors
  477. *
  478. IF( ILV ) THEN
  479. IF( ILVL ) THEN
  480. IF( ILVR ) THEN
  481. CHTEMP = 'B'
  482. ELSE
  483. CHTEMP = 'L'
  484. END IF
  485. ELSE
  486. CHTEMP = 'R'
  487. END IF
  488. CALL STGEVC( CHTEMP, 'B', LDUMMA, N, A, LDA, B, LDB, VL, LDVL,
  489. $ VR, LDVR, N, IN, WORK( IWRK ), IERR )
  490. IF( IERR.NE.0 ) THEN
  491. INFO = N + 2
  492. GO TO 110
  493. END IF
  494. *
  495. * Undo balancing on VL and VR and normalization
  496. *
  497. IF( ILVL ) THEN
  498. CALL SGGBAK( 'P', 'L', N, ILO, IHI, WORK( ILEFT ),
  499. $ WORK( IRIGHT ), N, VL, LDVL, IERR )
  500. DO 50 JC = 1, N
  501. IF( ALPHAI( JC ).LT.ZERO )
  502. $ GO TO 50
  503. TEMP = ZERO
  504. IF( ALPHAI( JC ).EQ.ZERO ) THEN
  505. DO 10 JR = 1, N
  506. TEMP = MAX( TEMP, ABS( VL( JR, JC ) ) )
  507. 10 CONTINUE
  508. ELSE
  509. DO 20 JR = 1, N
  510. TEMP = MAX( TEMP, ABS( VL( JR, JC ) )+
  511. $ ABS( VL( JR, JC+1 ) ) )
  512. 20 CONTINUE
  513. END IF
  514. IF( TEMP.LT.SMLNUM )
  515. $ GO TO 50
  516. TEMP = ONE / TEMP
  517. IF( ALPHAI( JC ).EQ.ZERO ) THEN
  518. DO 30 JR = 1, N
  519. VL( JR, JC ) = VL( JR, JC )*TEMP
  520. 30 CONTINUE
  521. ELSE
  522. DO 40 JR = 1, N
  523. VL( JR, JC ) = VL( JR, JC )*TEMP
  524. VL( JR, JC+1 ) = VL( JR, JC+1 )*TEMP
  525. 40 CONTINUE
  526. END IF
  527. 50 CONTINUE
  528. END IF
  529. IF( ILVR ) THEN
  530. CALL SGGBAK( 'P', 'R', N, ILO, IHI, WORK( ILEFT ),
  531. $ WORK( IRIGHT ), N, VR, LDVR, IERR )
  532. DO 100 JC = 1, N
  533. IF( ALPHAI( JC ).LT.ZERO )
  534. $ GO TO 100
  535. TEMP = ZERO
  536. IF( ALPHAI( JC ).EQ.ZERO ) THEN
  537. DO 60 JR = 1, N
  538. TEMP = MAX( TEMP, ABS( VR( JR, JC ) ) )
  539. 60 CONTINUE
  540. ELSE
  541. DO 70 JR = 1, N
  542. TEMP = MAX( TEMP, ABS( VR( JR, JC ) )+
  543. $ ABS( VR( JR, JC+1 ) ) )
  544. 70 CONTINUE
  545. END IF
  546. IF( TEMP.LT.SMLNUM )
  547. $ GO TO 100
  548. TEMP = ONE / TEMP
  549. IF( ALPHAI( JC ).EQ.ZERO ) THEN
  550. DO 80 JR = 1, N
  551. VR( JR, JC ) = VR( JR, JC )*TEMP
  552. 80 CONTINUE
  553. ELSE
  554. DO 90 JR = 1, N
  555. VR( JR, JC ) = VR( JR, JC )*TEMP
  556. VR( JR, JC+1 ) = VR( JR, JC+1 )*TEMP
  557. 90 CONTINUE
  558. END IF
  559. 100 CONTINUE
  560. END IF
  561. *
  562. * End of eigenvector calculation
  563. *
  564. END IF
  565. *
  566. * Undo scaling if necessary
  567. *
  568. 110 CONTINUE
  569. *
  570. IF( ILASCL ) THEN
  571. CALL SLASCL( 'G', 0, 0, ANRMTO, ANRM, N, 1, ALPHAR, N, IERR )
  572. CALL SLASCL( 'G', 0, 0, ANRMTO, ANRM, N, 1, ALPHAI, N, IERR )
  573. END IF
  574. *
  575. IF( ILBSCL ) THEN
  576. CALL SLASCL( 'G', 0, 0, BNRMTO, BNRM, N, 1, BETA, N, IERR )
  577. END IF
  578. *
  579. WORK( 1 ) = SROUNDUP_LWORK( LWKOPT )
  580. RETURN
  581. *
  582. * End of SGGEV3
  583. *
  584. END