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spstf2.f 11 kB

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  1. *> \brief \b SPSTF2 computes the Cholesky factorization with complete pivoting of a real symmetric positive semidefinite matrix.
  2. *
  3. * =========== DOCUMENTATION ===========
  4. *
  5. * Online html documentation available at
  6. * http://www.netlib.org/lapack/explore-html/
  7. *
  8. *> \htmlonly
  9. *> Download SPSTF2 + dependencies
  10. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/spstf2.f">
  11. *> [TGZ]</a>
  12. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/spstf2.f">
  13. *> [ZIP]</a>
  14. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/spstf2.f">
  15. *> [TXT]</a>
  16. *> \endhtmlonly
  17. *
  18. * Definition:
  19. * ===========
  20. *
  21. * SUBROUTINE SPSTF2( UPLO, N, A, LDA, PIV, RANK, TOL, WORK, INFO )
  22. *
  23. * .. Scalar Arguments ..
  24. * REAL TOL
  25. * INTEGER INFO, LDA, N, RANK
  26. * CHARACTER UPLO
  27. * ..
  28. * .. Array Arguments ..
  29. * REAL A( LDA, * ), WORK( 2*N )
  30. * INTEGER PIV( N )
  31. * ..
  32. *
  33. *
  34. *> \par Purpose:
  35. * =============
  36. *>
  37. *> \verbatim
  38. *>
  39. *> SPSTF2 computes the Cholesky factorization with complete
  40. *> pivoting of a real symmetric positive semidefinite matrix A.
  41. *>
  42. *> The factorization has the form
  43. *> P**T * A * P = U**T * U , if UPLO = 'U',
  44. *> P**T * A * P = L * L**T, if UPLO = 'L',
  45. *> where U is an upper triangular matrix and L is lower triangular, and
  46. *> P is stored as vector PIV.
  47. *>
  48. *> This algorithm does not attempt to check that A is positive
  49. *> semidefinite. This version of the algorithm calls level 2 BLAS.
  50. *> \endverbatim
  51. *
  52. * Arguments:
  53. * ==========
  54. *
  55. *> \param[in] UPLO
  56. *> \verbatim
  57. *> UPLO is CHARACTER*1
  58. *> Specifies whether the upper or lower triangular part of the
  59. *> symmetric matrix A is stored.
  60. *> = 'U': Upper triangular
  61. *> = 'L': Lower triangular
  62. *> \endverbatim
  63. *>
  64. *> \param[in] N
  65. *> \verbatim
  66. *> N is INTEGER
  67. *> The order of the matrix A. N >= 0.
  68. *> \endverbatim
  69. *>
  70. *> \param[in,out] A
  71. *> \verbatim
  72. *> A is REAL array, dimension (LDA,N)
  73. *> On entry, the symmetric matrix A. If UPLO = 'U', the leading
  74. *> n by n upper triangular part of A contains the upper
  75. *> triangular part of the matrix A, and the strictly lower
  76. *> triangular part of A is not referenced. If UPLO = 'L', the
  77. *> leading n by n lower triangular part of A contains the lower
  78. *> triangular part of the matrix A, and the strictly upper
  79. *> triangular part of A is not referenced.
  80. *>
  81. *> On exit, if INFO = 0, the factor U or L from the Cholesky
  82. *> factorization as above.
  83. *> \endverbatim
  84. *>
  85. *> \param[out] PIV
  86. *> \verbatim
  87. *> PIV is INTEGER array, dimension (N)
  88. *> PIV is such that the nonzero entries are P( PIV(K), K ) = 1.
  89. *> \endverbatim
  90. *>
  91. *> \param[out] RANK
  92. *> \verbatim
  93. *> RANK is INTEGER
  94. *> The rank of A given by the number of steps the algorithm
  95. *> completed.
  96. *> \endverbatim
  97. *>
  98. *> \param[in] TOL
  99. *> \verbatim
  100. *> TOL is REAL
  101. *> User defined tolerance. If TOL < 0, then N*U*MAX( A( K,K ) )
  102. *> will be used. The algorithm terminates at the (K-1)st step
  103. *> if the pivot <= TOL.
  104. *> \endverbatim
  105. *>
  106. *> \param[in] LDA
  107. *> \verbatim
  108. *> LDA is INTEGER
  109. *> The leading dimension of the array A. LDA >= max(1,N).
  110. *> \endverbatim
  111. *>
  112. *> \param[out] WORK
  113. *> \verbatim
  114. *> WORK is REAL array, dimension (2*N)
  115. *> Work space.
  116. *> \endverbatim
  117. *>
  118. *> \param[out] INFO
  119. *> \verbatim
  120. *> INFO is INTEGER
  121. *> < 0: If INFO = -K, the K-th argument had an illegal value,
  122. *> = 0: algorithm completed successfully, and
  123. *> > 0: the matrix A is either rank deficient with computed rank
  124. *> as returned in RANK, or is not positive semidefinite. See
  125. *> Section 7 of LAPACK Working Note #161 for further
  126. *> information.
  127. *> \endverbatim
  128. *
  129. * Authors:
  130. * ========
  131. *
  132. *> \author Univ. of Tennessee
  133. *> \author Univ. of California Berkeley
  134. *> \author Univ. of Colorado Denver
  135. *> \author NAG Ltd.
  136. *
  137. *> \ingroup realOTHERcomputational
  138. *
  139. * =====================================================================
  140. SUBROUTINE SPSTF2( UPLO, N, A, LDA, PIV, RANK, TOL, WORK, INFO )
  141. *
  142. * -- LAPACK computational routine --
  143. * -- LAPACK is a software package provided by Univ. of Tennessee, --
  144. * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  145. *
  146. * .. Scalar Arguments ..
  147. REAL TOL
  148. INTEGER INFO, LDA, N, RANK
  149. CHARACTER UPLO
  150. * ..
  151. * .. Array Arguments ..
  152. REAL A( LDA, * ), WORK( 2*N )
  153. INTEGER PIV( N )
  154. * ..
  155. *
  156. * =====================================================================
  157. *
  158. * .. Parameters ..
  159. REAL ONE, ZERO
  160. PARAMETER ( ONE = 1.0E+0, ZERO = 0.0E+0 )
  161. * ..
  162. * .. Local Scalars ..
  163. REAL AJJ, SSTOP, STEMP
  164. INTEGER I, ITEMP, J, PVT
  165. LOGICAL UPPER
  166. * ..
  167. * .. External Functions ..
  168. REAL SLAMCH
  169. LOGICAL LSAME, SISNAN
  170. EXTERNAL SLAMCH, LSAME, SISNAN
  171. * ..
  172. * .. External Subroutines ..
  173. EXTERNAL SGEMV, SSCAL, SSWAP, XERBLA
  174. * ..
  175. * .. Intrinsic Functions ..
  176. INTRINSIC MAX, SQRT, MAXLOC
  177. * ..
  178. * .. Executable Statements ..
  179. *
  180. * Test the input parameters
  181. *
  182. INFO = 0
  183. UPPER = LSAME( UPLO, 'U' )
  184. IF( .NOT.UPPER .AND. .NOT.LSAME( UPLO, 'L' ) ) THEN
  185. INFO = -1
  186. ELSE IF( N.LT.0 ) THEN
  187. INFO = -2
  188. ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
  189. INFO = -4
  190. END IF
  191. IF( INFO.NE.0 ) THEN
  192. CALL XERBLA( 'SPSTF2', -INFO )
  193. RETURN
  194. END IF
  195. *
  196. * Quick return if possible
  197. *
  198. IF( N.EQ.0 )
  199. $ RETURN
  200. *
  201. * Initialize PIV
  202. *
  203. DO 100 I = 1, N
  204. PIV( I ) = I
  205. 100 CONTINUE
  206. *
  207. * Compute stopping value
  208. *
  209. PVT = 1
  210. AJJ = A( PVT, PVT )
  211. DO I = 2, N
  212. IF( A( I, I ).GT.AJJ ) THEN
  213. PVT = I
  214. AJJ = A( PVT, PVT )
  215. END IF
  216. END DO
  217. IF( AJJ.LE.ZERO.OR.SISNAN( AJJ ) ) THEN
  218. RANK = 0
  219. INFO = 1
  220. GO TO 170
  221. END IF
  222. *
  223. * Compute stopping value if not supplied
  224. *
  225. IF( TOL.LT.ZERO ) THEN
  226. SSTOP = N * SLAMCH( 'Epsilon' ) * AJJ
  227. ELSE
  228. SSTOP = TOL
  229. END IF
  230. *
  231. * Set first half of WORK to zero, holds dot products
  232. *
  233. DO 110 I = 1, N
  234. WORK( I ) = 0
  235. 110 CONTINUE
  236. *
  237. IF( UPPER ) THEN
  238. *
  239. * Compute the Cholesky factorization P**T * A * P = U**T * U
  240. *
  241. DO 130 J = 1, N
  242. *
  243. * Find pivot, test for exit, else swap rows and columns
  244. * Update dot products, compute possible pivots which are
  245. * stored in the second half of WORK
  246. *
  247. DO 120 I = J, N
  248. *
  249. IF( J.GT.1 ) THEN
  250. WORK( I ) = WORK( I ) + A( J-1, I )**2
  251. END IF
  252. WORK( N+I ) = A( I, I ) - WORK( I )
  253. *
  254. 120 CONTINUE
  255. *
  256. IF( J.GT.1 ) THEN
  257. ITEMP = MAXLOC( WORK( (N+J):(2*N) ), 1 )
  258. PVT = ITEMP + J - 1
  259. AJJ = WORK( N+PVT )
  260. IF( AJJ.LE.SSTOP.OR.SISNAN( AJJ ) ) THEN
  261. A( J, J ) = AJJ
  262. GO TO 160
  263. END IF
  264. END IF
  265. *
  266. IF( J.NE.PVT ) THEN
  267. *
  268. * Pivot OK, so can now swap pivot rows and columns
  269. *
  270. A( PVT, PVT ) = A( J, J )
  271. CALL SSWAP( J-1, A( 1, J ), 1, A( 1, PVT ), 1 )
  272. IF( PVT.LT.N )
  273. $ CALL SSWAP( N-PVT, A( J, PVT+1 ), LDA,
  274. $ A( PVT, PVT+1 ), LDA )
  275. CALL SSWAP( PVT-J-1, A( J, J+1 ), LDA, A( J+1, PVT ), 1 )
  276. *
  277. * Swap dot products and PIV
  278. *
  279. STEMP = WORK( J )
  280. WORK( J ) = WORK( PVT )
  281. WORK( PVT ) = STEMP
  282. ITEMP = PIV( PVT )
  283. PIV( PVT ) = PIV( J )
  284. PIV( J ) = ITEMP
  285. END IF
  286. *
  287. AJJ = SQRT( AJJ )
  288. A( J, J ) = AJJ
  289. *
  290. * Compute elements J+1:N of row J
  291. *
  292. IF( J.LT.N ) THEN
  293. CALL SGEMV( 'Trans', J-1, N-J, -ONE, A( 1, J+1 ), LDA,
  294. $ A( 1, J ), 1, ONE, A( J, J+1 ), LDA )
  295. CALL SSCAL( N-J, ONE / AJJ, A( J, J+1 ), LDA )
  296. END IF
  297. *
  298. 130 CONTINUE
  299. *
  300. ELSE
  301. *
  302. * Compute the Cholesky factorization P**T * A * P = L * L**T
  303. *
  304. DO 150 J = 1, N
  305. *
  306. * Find pivot, test for exit, else swap rows and columns
  307. * Update dot products, compute possible pivots which are
  308. * stored in the second half of WORK
  309. *
  310. DO 140 I = J, N
  311. *
  312. IF( J.GT.1 ) THEN
  313. WORK( I ) = WORK( I ) + A( I, J-1 )**2
  314. END IF
  315. WORK( N+I ) = A( I, I ) - WORK( I )
  316. *
  317. 140 CONTINUE
  318. *
  319. IF( J.GT.1 ) THEN
  320. ITEMP = MAXLOC( WORK( (N+J):(2*N) ), 1 )
  321. PVT = ITEMP + J - 1
  322. AJJ = WORK( N+PVT )
  323. IF( AJJ.LE.SSTOP.OR.SISNAN( AJJ ) ) THEN
  324. A( J, J ) = AJJ
  325. GO TO 160
  326. END IF
  327. END IF
  328. *
  329. IF( J.NE.PVT ) THEN
  330. *
  331. * Pivot OK, so can now swap pivot rows and columns
  332. *
  333. A( PVT, PVT ) = A( J, J )
  334. CALL SSWAP( J-1, A( J, 1 ), LDA, A( PVT, 1 ), LDA )
  335. IF( PVT.LT.N )
  336. $ CALL SSWAP( N-PVT, A( PVT+1, J ), 1, A( PVT+1, PVT ),
  337. $ 1 )
  338. CALL SSWAP( PVT-J-1, A( J+1, J ), 1, A( PVT, J+1 ), LDA )
  339. *
  340. * Swap dot products and PIV
  341. *
  342. STEMP = WORK( J )
  343. WORK( J ) = WORK( PVT )
  344. WORK( PVT ) = STEMP
  345. ITEMP = PIV( PVT )
  346. PIV( PVT ) = PIV( J )
  347. PIV( J ) = ITEMP
  348. END IF
  349. *
  350. AJJ = SQRT( AJJ )
  351. A( J, J ) = AJJ
  352. *
  353. * Compute elements J+1:N of column J
  354. *
  355. IF( J.LT.N ) THEN
  356. CALL SGEMV( 'No Trans', N-J, J-1, -ONE, A( J+1, 1 ), LDA,
  357. $ A( J, 1 ), LDA, ONE, A( J+1, J ), 1 )
  358. CALL SSCAL( N-J, ONE / AJJ, A( J+1, J ), 1 )
  359. END IF
  360. *
  361. 150 CONTINUE
  362. *
  363. END IF
  364. *
  365. * Ran to completion, A has full rank
  366. *
  367. RANK = N
  368. *
  369. GO TO 170
  370. 160 CONTINUE
  371. *
  372. * Rank is number of steps completed. Set INFO = 1 to signal
  373. * that the factorization cannot be used to solve a system.
  374. *
  375. RANK = J - 1
  376. INFO = 1
  377. *
  378. 170 CONTINUE
  379. RETURN
  380. *
  381. * End of SPSTF2
  382. *
  383. END