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ssyevx.f 17 kB

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  1. *> \brief <b> SSYEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for SY matrices</b>
  2. *
  3. * =========== DOCUMENTATION ===========
  4. *
  5. * Online html documentation available at
  6. * http://www.netlib.org/lapack/explore-html/
  7. *
  8. *> \htmlonly
  9. *> Download SSYEVX + dependencies
  10. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/ssyevx.f">
  11. *> [TGZ]</a>
  12. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/ssyevx.f">
  13. *> [ZIP]</a>
  14. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/ssyevx.f">
  15. *> [TXT]</a>
  16. *> \endhtmlonly
  17. *
  18. * Definition:
  19. * ===========
  20. *
  21. * SUBROUTINE SSYEVX( JOBZ, RANGE, UPLO, N, A, LDA, VL, VU, IL, IU,
  22. * ABSTOL, M, W, Z, LDZ, WORK, LWORK, IWORK,
  23. * IFAIL, INFO )
  24. *
  25. * .. Scalar Arguments ..
  26. * CHARACTER JOBZ, RANGE, UPLO
  27. * INTEGER IL, INFO, IU, LDA, LDZ, LWORK, M, N
  28. * REAL ABSTOL, VL, VU
  29. * ..
  30. * .. Array Arguments ..
  31. * INTEGER IFAIL( * ), IWORK( * )
  32. * REAL A( LDA, * ), W( * ), WORK( * ), Z( LDZ, * )
  33. * ..
  34. *
  35. *
  36. *> \par Purpose:
  37. * =============
  38. *>
  39. *> \verbatim
  40. *>
  41. *> SSYEVX computes selected eigenvalues and, optionally, eigenvectors
  42. *> of a real symmetric matrix A. Eigenvalues and eigenvectors can be
  43. *> selected by specifying either a range of values or a range of indices
  44. *> for the desired eigenvalues.
  45. *> \endverbatim
  46. *
  47. * Arguments:
  48. * ==========
  49. *
  50. *> \param[in] JOBZ
  51. *> \verbatim
  52. *> JOBZ is CHARACTER*1
  53. *> = 'N': Compute eigenvalues only;
  54. *> = 'V': Compute eigenvalues and eigenvectors.
  55. *> \endverbatim
  56. *>
  57. *> \param[in] RANGE
  58. *> \verbatim
  59. *> RANGE is CHARACTER*1
  60. *> = 'A': all eigenvalues will be found.
  61. *> = 'V': all eigenvalues in the half-open interval (VL,VU]
  62. *> will be found.
  63. *> = 'I': the IL-th through IU-th eigenvalues will be found.
  64. *> \endverbatim
  65. *>
  66. *> \param[in] UPLO
  67. *> \verbatim
  68. *> UPLO is CHARACTER*1
  69. *> = 'U': Upper triangle of A is stored;
  70. *> = 'L': Lower triangle of A is stored.
  71. *> \endverbatim
  72. *>
  73. *> \param[in] N
  74. *> \verbatim
  75. *> N is INTEGER
  76. *> The order of the matrix A. N >= 0.
  77. *> \endverbatim
  78. *>
  79. *> \param[in,out] A
  80. *> \verbatim
  81. *> A is REAL array, dimension (LDA, N)
  82. *> On entry, the symmetric matrix A. If UPLO = 'U', the
  83. *> leading N-by-N upper triangular part of A contains the
  84. *> upper triangular part of the matrix A. If UPLO = 'L',
  85. *> the leading N-by-N lower triangular part of A contains
  86. *> the lower triangular part of the matrix A.
  87. *> On exit, the lower triangle (if UPLO='L') or the upper
  88. *> triangle (if UPLO='U') of A, including the diagonal, is
  89. *> destroyed.
  90. *> \endverbatim
  91. *>
  92. *> \param[in] LDA
  93. *> \verbatim
  94. *> LDA is INTEGER
  95. *> The leading dimension of the array A. LDA >= max(1,N).
  96. *> \endverbatim
  97. *>
  98. *> \param[in] VL
  99. *> \verbatim
  100. *> VL is REAL
  101. *> \endverbatim
  102. *>
  103. *> \param[in] VU
  104. *> \verbatim
  105. *> VU is REAL
  106. *> If RANGE='V', the lower and upper bounds of the interval to
  107. *> be searched for eigenvalues. VL < VU.
  108. *> Not referenced if RANGE = 'A' or 'I'.
  109. *> \endverbatim
  110. *>
  111. *> \param[in] IL
  112. *> \verbatim
  113. *> IL is INTEGER
  114. *> \endverbatim
  115. *>
  116. *> \param[in] IU
  117. *> \verbatim
  118. *> IU is INTEGER
  119. *> If RANGE='I', the indices (in ascending order) of the
  120. *> smallest and largest eigenvalues to be returned.
  121. *> 1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.
  122. *> Not referenced if RANGE = 'A' or 'V'.
  123. *> \endverbatim
  124. *>
  125. *> \param[in] ABSTOL
  126. *> \verbatim
  127. *> ABSTOL is REAL
  128. *> The absolute error tolerance for the eigenvalues.
  129. *> An approximate eigenvalue is accepted as converged
  130. *> when it is determined to lie in an interval [a,b]
  131. *> of width less than or equal to
  132. *>
  133. *> ABSTOL + EPS * max( |a|,|b| ) ,
  134. *>
  135. *> where EPS is the machine precision. If ABSTOL is less than
  136. *> or equal to zero, then EPS*|T| will be used in its place,
  137. *> where |T| is the 1-norm of the tridiagonal matrix obtained
  138. *> by reducing A to tridiagonal form.
  139. *>
  140. *> Eigenvalues will be computed most accurately when ABSTOL is
  141. *> set to twice the underflow threshold 2*SLAMCH('S'), not zero.
  142. *> If this routine returns with INFO>0, indicating that some
  143. *> eigenvectors did not converge, try setting ABSTOL to
  144. *> 2*SLAMCH('S').
  145. *>
  146. *> See "Computing Small Singular Values of Bidiagonal Matrices
  147. *> with Guaranteed High Relative Accuracy," by Demmel and
  148. *> Kahan, LAPACK Working Note #3.
  149. *> \endverbatim
  150. *>
  151. *> \param[out] M
  152. *> \verbatim
  153. *> M is INTEGER
  154. *> The total number of eigenvalues found. 0 <= M <= N.
  155. *> If RANGE = 'A', M = N, and if RANGE = 'I', M = IU-IL+1.
  156. *> \endverbatim
  157. *>
  158. *> \param[out] W
  159. *> \verbatim
  160. *> W is REAL array, dimension (N)
  161. *> On normal exit, the first M elements contain the selected
  162. *> eigenvalues in ascending order.
  163. *> \endverbatim
  164. *>
  165. *> \param[out] Z
  166. *> \verbatim
  167. *> Z is REAL array, dimension (LDZ, max(1,M))
  168. *> If JOBZ = 'V', then if INFO = 0, the first M columns of Z
  169. *> contain the orthonormal eigenvectors of the matrix A
  170. *> corresponding to the selected eigenvalues, with the i-th
  171. *> column of Z holding the eigenvector associated with W(i).
  172. *> If an eigenvector fails to converge, then that column of Z
  173. *> contains the latest approximation to the eigenvector, and the
  174. *> index of the eigenvector is returned in IFAIL.
  175. *> If JOBZ = 'N', then Z is not referenced.
  176. *> Note: the user must ensure that at least max(1,M) columns are
  177. *> supplied in the array Z; if RANGE = 'V', the exact value of M
  178. *> is not known in advance and an upper bound must be used.
  179. *> \endverbatim
  180. *>
  181. *> \param[in] LDZ
  182. *> \verbatim
  183. *> LDZ is INTEGER
  184. *> The leading dimension of the array Z. LDZ >= 1, and if
  185. *> JOBZ = 'V', LDZ >= max(1,N).
  186. *> \endverbatim
  187. *>
  188. *> \param[out] WORK
  189. *> \verbatim
  190. *> WORK is REAL array, dimension (MAX(1,LWORK))
  191. *> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
  192. *> \endverbatim
  193. *>
  194. *> \param[in] LWORK
  195. *> \verbatim
  196. *> LWORK is INTEGER
  197. *> The length of the array WORK. LWORK >= 1, when N <= 1;
  198. *> otherwise 8*N.
  199. *> For optimal efficiency, LWORK >= (NB+3)*N,
  200. *> where NB is the max of the blocksize for SSYTRD and SORMTR
  201. *> returned by ILAENV.
  202. *>
  203. *> If LWORK = -1, then a workspace query is assumed; the routine
  204. *> only calculates the optimal size of the WORK array, returns
  205. *> this value as the first entry of the WORK array, and no error
  206. *> message related to LWORK is issued by XERBLA.
  207. *> \endverbatim
  208. *>
  209. *> \param[out] IWORK
  210. *> \verbatim
  211. *> IWORK is INTEGER array, dimension (5*N)
  212. *> \endverbatim
  213. *>
  214. *> \param[out] IFAIL
  215. *> \verbatim
  216. *> IFAIL is INTEGER array, dimension (N)
  217. *> If JOBZ = 'V', then if INFO = 0, the first M elements of
  218. *> IFAIL are zero. If INFO > 0, then IFAIL contains the
  219. *> indices of the eigenvectors that failed to converge.
  220. *> If JOBZ = 'N', then IFAIL is not referenced.
  221. *> \endverbatim
  222. *>
  223. *> \param[out] INFO
  224. *> \verbatim
  225. *> INFO is INTEGER
  226. *> = 0: successful exit
  227. *> < 0: if INFO = -i, the i-th argument had an illegal value
  228. *> > 0: if INFO = i, then i eigenvectors failed to converge.
  229. *> Their indices are stored in array IFAIL.
  230. *> \endverbatim
  231. *
  232. * Authors:
  233. * ========
  234. *
  235. *> \author Univ. of Tennessee
  236. *> \author Univ. of California Berkeley
  237. *> \author Univ. of Colorado Denver
  238. *> \author NAG Ltd.
  239. *
  240. *> \date November 2011
  241. *
  242. *> \ingroup realSYeigen
  243. *
  244. * =====================================================================
  245. SUBROUTINE SSYEVX( JOBZ, RANGE, UPLO, N, A, LDA, VL, VU, IL, IU,
  246. $ ABSTOL, M, W, Z, LDZ, WORK, LWORK, IWORK,
  247. $ IFAIL, INFO )
  248. *
  249. * -- LAPACK driver routine (version 3.4.0) --
  250. * -- LAPACK is a software package provided by Univ. of Tennessee, --
  251. * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  252. * November 2011
  253. *
  254. * .. Scalar Arguments ..
  255. CHARACTER JOBZ, RANGE, UPLO
  256. INTEGER IL, INFO, IU, LDA, LDZ, LWORK, M, N
  257. REAL ABSTOL, VL, VU
  258. * ..
  259. * .. Array Arguments ..
  260. INTEGER IFAIL( * ), IWORK( * )
  261. REAL A( LDA, * ), W( * ), WORK( * ), Z( LDZ, * )
  262. * ..
  263. *
  264. * =====================================================================
  265. *
  266. * .. Parameters ..
  267. REAL ZERO, ONE
  268. PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
  269. * ..
  270. * .. Local Scalars ..
  271. LOGICAL ALLEIG, INDEIG, LOWER, LQUERY, TEST, VALEIG,
  272. $ WANTZ
  273. CHARACTER ORDER
  274. INTEGER I, IINFO, IMAX, INDD, INDE, INDEE, INDIBL,
  275. $ INDISP, INDIWO, INDTAU, INDWKN, INDWRK, ISCALE,
  276. $ ITMP1, J, JJ, LLWORK, LLWRKN, LWKMIN,
  277. $ LWKOPT, NB, NSPLIT
  278. REAL ABSTLL, ANRM, BIGNUM, EPS, RMAX, RMIN, SAFMIN,
  279. $ SIGMA, SMLNUM, TMP1, VLL, VUU
  280. * ..
  281. * .. External Functions ..
  282. LOGICAL LSAME
  283. INTEGER ILAENV
  284. REAL SLAMCH, SLANSY
  285. EXTERNAL LSAME, ILAENV, SLAMCH, SLANSY
  286. * ..
  287. * .. External Subroutines ..
  288. EXTERNAL SCOPY, SLACPY, SORGTR, SORMTR, SSCAL, SSTEBZ,
  289. $ SSTEIN, SSTEQR, SSTERF, SSWAP, SSYTRD, XERBLA
  290. * ..
  291. * .. Intrinsic Functions ..
  292. INTRINSIC MAX, MIN, SQRT
  293. * ..
  294. * .. Executable Statements ..
  295. *
  296. * Test the input parameters.
  297. *
  298. LOWER = LSAME( UPLO, 'L' )
  299. WANTZ = LSAME( JOBZ, 'V' )
  300. ALLEIG = LSAME( RANGE, 'A' )
  301. VALEIG = LSAME( RANGE, 'V' )
  302. INDEIG = LSAME( RANGE, 'I' )
  303. LQUERY = ( LWORK.EQ.-1 )
  304. *
  305. INFO = 0
  306. IF( .NOT.( WANTZ .OR. LSAME( JOBZ, 'N' ) ) ) THEN
  307. INFO = -1
  308. ELSE IF( .NOT.( ALLEIG .OR. VALEIG .OR. INDEIG ) ) THEN
  309. INFO = -2
  310. ELSE IF( .NOT.( LOWER .OR. LSAME( UPLO, 'U' ) ) ) THEN
  311. INFO = -3
  312. ELSE IF( N.LT.0 ) THEN
  313. INFO = -4
  314. ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
  315. INFO = -6
  316. ELSE
  317. IF( VALEIG ) THEN
  318. IF( N.GT.0 .AND. VU.LE.VL )
  319. $ INFO = -8
  320. ELSE IF( INDEIG ) THEN
  321. IF( IL.LT.1 .OR. IL.GT.MAX( 1, N ) ) THEN
  322. INFO = -9
  323. ELSE IF( IU.LT.MIN( N, IL ) .OR. IU.GT.N ) THEN
  324. INFO = -10
  325. END IF
  326. END IF
  327. END IF
  328. IF( INFO.EQ.0 ) THEN
  329. IF( LDZ.LT.1 .OR. ( WANTZ .AND. LDZ.LT.N ) ) THEN
  330. INFO = -15
  331. END IF
  332. END IF
  333. *
  334. IF( INFO.EQ.0 ) THEN
  335. IF( N.LE.1 ) THEN
  336. LWKMIN = 1
  337. WORK( 1 ) = LWKMIN
  338. ELSE
  339. LWKMIN = 8*N
  340. NB = ILAENV( 1, 'SSYTRD', UPLO, N, -1, -1, -1 )
  341. NB = MAX( NB, ILAENV( 1, 'SORMTR', UPLO, N, -1, -1, -1 ) )
  342. LWKOPT = MAX( LWKMIN, ( NB + 3 )*N )
  343. WORK( 1 ) = LWKOPT
  344. END IF
  345. *
  346. IF( LWORK.LT.LWKMIN .AND. .NOT.LQUERY )
  347. $ INFO = -17
  348. END IF
  349. *
  350. IF( INFO.NE.0 ) THEN
  351. CALL XERBLA( 'SSYEVX', -INFO )
  352. RETURN
  353. ELSE IF( LQUERY ) THEN
  354. RETURN
  355. END IF
  356. *
  357. * Quick return if possible
  358. *
  359. M = 0
  360. IF( N.EQ.0 ) THEN
  361. RETURN
  362. END IF
  363. *
  364. IF( N.EQ.1 ) THEN
  365. IF( ALLEIG .OR. INDEIG ) THEN
  366. M = 1
  367. W( 1 ) = A( 1, 1 )
  368. ELSE
  369. IF( VL.LT.A( 1, 1 ) .AND. VU.GE.A( 1, 1 ) ) THEN
  370. M = 1
  371. W( 1 ) = A( 1, 1 )
  372. END IF
  373. END IF
  374. IF( WANTZ )
  375. $ Z( 1, 1 ) = ONE
  376. RETURN
  377. END IF
  378. *
  379. * Get machine constants.
  380. *
  381. SAFMIN = SLAMCH( 'Safe minimum' )
  382. EPS = SLAMCH( 'Precision' )
  383. SMLNUM = SAFMIN / EPS
  384. BIGNUM = ONE / SMLNUM
  385. RMIN = SQRT( SMLNUM )
  386. RMAX = MIN( SQRT( BIGNUM ), ONE / SQRT( SQRT( SAFMIN ) ) )
  387. *
  388. * Scale matrix to allowable range, if necessary.
  389. *
  390. ISCALE = 0
  391. ABSTLL = ABSTOL
  392. IF( VALEIG ) THEN
  393. VLL = VL
  394. VUU = VU
  395. END IF
  396. ANRM = SLANSY( 'M', UPLO, N, A, LDA, WORK )
  397. IF( ANRM.GT.ZERO .AND. ANRM.LT.RMIN ) THEN
  398. ISCALE = 1
  399. SIGMA = RMIN / ANRM
  400. ELSE IF( ANRM.GT.RMAX ) THEN
  401. ISCALE = 1
  402. SIGMA = RMAX / ANRM
  403. END IF
  404. IF( ISCALE.EQ.1 ) THEN
  405. IF( LOWER ) THEN
  406. DO 10 J = 1, N
  407. CALL SSCAL( N-J+1, SIGMA, A( J, J ), 1 )
  408. 10 CONTINUE
  409. ELSE
  410. DO 20 J = 1, N
  411. CALL SSCAL( J, SIGMA, A( 1, J ), 1 )
  412. 20 CONTINUE
  413. END IF
  414. IF( ABSTOL.GT.0 )
  415. $ ABSTLL = ABSTOL*SIGMA
  416. IF( VALEIG ) THEN
  417. VLL = VL*SIGMA
  418. VUU = VU*SIGMA
  419. END IF
  420. END IF
  421. *
  422. * Call SSYTRD to reduce symmetric matrix to tridiagonal form.
  423. *
  424. INDTAU = 1
  425. INDE = INDTAU + N
  426. INDD = INDE + N
  427. INDWRK = INDD + N
  428. LLWORK = LWORK - INDWRK + 1
  429. CALL SSYTRD( UPLO, N, A, LDA, WORK( INDD ), WORK( INDE ),
  430. $ WORK( INDTAU ), WORK( INDWRK ), LLWORK, IINFO )
  431. *
  432. * If all eigenvalues are desired and ABSTOL is less than or equal to
  433. * zero, then call SSTERF or SORGTR and SSTEQR. If this fails for
  434. * some eigenvalue, then try SSTEBZ.
  435. *
  436. TEST = .FALSE.
  437. IF( INDEIG ) THEN
  438. IF( IL.EQ.1 .AND. IU.EQ.N ) THEN
  439. TEST = .TRUE.
  440. END IF
  441. END IF
  442. IF( ( ALLEIG .OR. TEST ) .AND. ( ABSTOL.LE.ZERO ) ) THEN
  443. CALL SCOPY( N, WORK( INDD ), 1, W, 1 )
  444. INDEE = INDWRK + 2*N
  445. IF( .NOT.WANTZ ) THEN
  446. CALL SCOPY( N-1, WORK( INDE ), 1, WORK( INDEE ), 1 )
  447. CALL SSTERF( N, W, WORK( INDEE ), INFO )
  448. ELSE
  449. CALL SLACPY( 'A', N, N, A, LDA, Z, LDZ )
  450. CALL SORGTR( UPLO, N, Z, LDZ, WORK( INDTAU ),
  451. $ WORK( INDWRK ), LLWORK, IINFO )
  452. CALL SCOPY( N-1, WORK( INDE ), 1, WORK( INDEE ), 1 )
  453. CALL SSTEQR( JOBZ, N, W, WORK( INDEE ), Z, LDZ,
  454. $ WORK( INDWRK ), INFO )
  455. IF( INFO.EQ.0 ) THEN
  456. DO 30 I = 1, N
  457. IFAIL( I ) = 0
  458. 30 CONTINUE
  459. END IF
  460. END IF
  461. IF( INFO.EQ.0 ) THEN
  462. M = N
  463. GO TO 40
  464. END IF
  465. INFO = 0
  466. END IF
  467. *
  468. * Otherwise, call SSTEBZ and, if eigenvectors are desired, SSTEIN.
  469. *
  470. IF( WANTZ ) THEN
  471. ORDER = 'B'
  472. ELSE
  473. ORDER = 'E'
  474. END IF
  475. INDIBL = 1
  476. INDISP = INDIBL + N
  477. INDIWO = INDISP + N
  478. CALL SSTEBZ( RANGE, ORDER, N, VLL, VUU, IL, IU, ABSTLL,
  479. $ WORK( INDD ), WORK( INDE ), M, NSPLIT, W,
  480. $ IWORK( INDIBL ), IWORK( INDISP ), WORK( INDWRK ),
  481. $ IWORK( INDIWO ), INFO )
  482. *
  483. IF( WANTZ ) THEN
  484. CALL SSTEIN( N, WORK( INDD ), WORK( INDE ), M, W,
  485. $ IWORK( INDIBL ), IWORK( INDISP ), Z, LDZ,
  486. $ WORK( INDWRK ), IWORK( INDIWO ), IFAIL, INFO )
  487. *
  488. * Apply orthogonal matrix used in reduction to tridiagonal
  489. * form to eigenvectors returned by SSTEIN.
  490. *
  491. INDWKN = INDE
  492. LLWRKN = LWORK - INDWKN + 1
  493. CALL SORMTR( 'L', UPLO, 'N', N, M, A, LDA, WORK( INDTAU ), Z,
  494. $ LDZ, WORK( INDWKN ), LLWRKN, IINFO )
  495. END IF
  496. *
  497. * If matrix was scaled, then rescale eigenvalues appropriately.
  498. *
  499. 40 CONTINUE
  500. IF( ISCALE.EQ.1 ) THEN
  501. IF( INFO.EQ.0 ) THEN
  502. IMAX = M
  503. ELSE
  504. IMAX = INFO - 1
  505. END IF
  506. CALL SSCAL( IMAX, ONE / SIGMA, W, 1 )
  507. END IF
  508. *
  509. * If eigenvalues are not in order, then sort them, along with
  510. * eigenvectors.
  511. *
  512. IF( WANTZ ) THEN
  513. DO 60 J = 1, M - 1
  514. I = 0
  515. TMP1 = W( J )
  516. DO 50 JJ = J + 1, M
  517. IF( W( JJ ).LT.TMP1 ) THEN
  518. I = JJ
  519. TMP1 = W( JJ )
  520. END IF
  521. 50 CONTINUE
  522. *
  523. IF( I.NE.0 ) THEN
  524. ITMP1 = IWORK( INDIBL+I-1 )
  525. W( I ) = W( J )
  526. IWORK( INDIBL+I-1 ) = IWORK( INDIBL+J-1 )
  527. W( J ) = TMP1
  528. IWORK( INDIBL+J-1 ) = ITMP1
  529. CALL SSWAP( N, Z( 1, I ), 1, Z( 1, J ), 1 )
  530. IF( INFO.NE.0 ) THEN
  531. ITMP1 = IFAIL( I )
  532. IFAIL( I ) = IFAIL( J )
  533. IFAIL( J ) = ITMP1
  534. END IF
  535. END IF
  536. 60 CONTINUE
  537. END IF
  538. *
  539. * Set WORK(1) to optimal workspace size.
  540. *
  541. WORK( 1 ) = LWKOPT
  542. *
  543. RETURN
  544. *
  545. * End of SSYEVX
  546. *
  547. END