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slaqps.f 10 kB

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  1. *> \brief \b SLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.
  2. *
  3. * =========== DOCUMENTATION ===========
  4. *
  5. * Online html documentation available at
  6. * http://www.netlib.org/lapack/explore-html/
  7. *
  8. *> \htmlonly
  9. *> Download SLAQPS + dependencies
  10. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/slaqps.f">
  11. *> [TGZ]</a>
  12. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/slaqps.f">
  13. *> [ZIP]</a>
  14. *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/slaqps.f">
  15. *> [TXT]</a>
  16. *> \endhtmlonly
  17. *
  18. * Definition:
  19. * ===========
  20. *
  21. * SUBROUTINE SLAQPS( M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1,
  22. * VN2, AUXV, F, LDF )
  23. *
  24. * .. Scalar Arguments ..
  25. * INTEGER KB, LDA, LDF, M, N, NB, OFFSET
  26. * ..
  27. * .. Array Arguments ..
  28. * INTEGER JPVT( * )
  29. * REAL A( LDA, * ), AUXV( * ), F( LDF, * ), TAU( * ),
  30. * $ VN1( * ), VN2( * )
  31. * ..
  32. *
  33. *
  34. *> \par Purpose:
  35. * =============
  36. *>
  37. *> \verbatim
  38. *>
  39. *> SLAQPS computes a step of QR factorization with column pivoting
  40. *> of a real M-by-N matrix A by using Blas-3. It tries to factorize
  41. *> NB columns from A starting from the row OFFSET+1, and updates all
  42. *> of the matrix with Blas-3 xGEMM.
  43. *>
  44. *> In some cases, due to catastrophic cancellations, it cannot
  45. *> factorize NB columns. Hence, the actual number of factorized
  46. *> columns is returned in KB.
  47. *>
  48. *> Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
  49. *> \endverbatim
  50. *
  51. * Arguments:
  52. * ==========
  53. *
  54. *> \param[in] M
  55. *> \verbatim
  56. *> M is INTEGER
  57. *> The number of rows of the matrix A. M >= 0.
  58. *> \endverbatim
  59. *>
  60. *> \param[in] N
  61. *> \verbatim
  62. *> N is INTEGER
  63. *> The number of columns of the matrix A. N >= 0
  64. *> \endverbatim
  65. *>
  66. *> \param[in] OFFSET
  67. *> \verbatim
  68. *> OFFSET is INTEGER
  69. *> The number of rows of A that have been factorized in
  70. *> previous steps.
  71. *> \endverbatim
  72. *>
  73. *> \param[in] NB
  74. *> \verbatim
  75. *> NB is INTEGER
  76. *> The number of columns to factorize.
  77. *> \endverbatim
  78. *>
  79. *> \param[out] KB
  80. *> \verbatim
  81. *> KB is INTEGER
  82. *> The number of columns actually factorized.
  83. *> \endverbatim
  84. *>
  85. *> \param[in,out] A
  86. *> \verbatim
  87. *> A is REAL array, dimension (LDA,N)
  88. *> On entry, the M-by-N matrix A.
  89. *> On exit, block A(OFFSET+1:M,1:KB) is the triangular
  90. *> factor obtained and block A(1:OFFSET,1:N) has been
  91. *> accordingly pivoted, but no factorized.
  92. *> The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has
  93. *> been updated.
  94. *> \endverbatim
  95. *>
  96. *> \param[in] LDA
  97. *> \verbatim
  98. *> LDA is INTEGER
  99. *> The leading dimension of the array A. LDA >= max(1,M).
  100. *> \endverbatim
  101. *>
  102. *> \param[in,out] JPVT
  103. *> \verbatim
  104. *> JPVT is INTEGER array, dimension (N)
  105. *> JPVT(I) = K <==> Column K of the full matrix A has been
  106. *> permuted into position I in AP.
  107. *> \endverbatim
  108. *>
  109. *> \param[out] TAU
  110. *> \verbatim
  111. *> TAU is REAL array, dimension (KB)
  112. *> The scalar factors of the elementary reflectors.
  113. *> \endverbatim
  114. *>
  115. *> \param[in,out] VN1
  116. *> \verbatim
  117. *> VN1 is REAL array, dimension (N)
  118. *> The vector with the partial column norms.
  119. *> \endverbatim
  120. *>
  121. *> \param[in,out] VN2
  122. *> \verbatim
  123. *> VN2 is REAL array, dimension (N)
  124. *> The vector with the exact column norms.
  125. *> \endverbatim
  126. *>
  127. *> \param[in,out] AUXV
  128. *> \verbatim
  129. *> AUXV is REAL array, dimension (NB)
  130. *> Auxiliary vector.
  131. *> \endverbatim
  132. *>
  133. *> \param[in,out] F
  134. *> \verbatim
  135. *> F is REAL array, dimension (LDF,NB)
  136. *> Matrix F**T = L*Y**T*A.
  137. *> \endverbatim
  138. *>
  139. *> \param[in] LDF
  140. *> \verbatim
  141. *> LDF is INTEGER
  142. *> The leading dimension of the array F. LDF >= max(1,N).
  143. *> \endverbatim
  144. *
  145. * Authors:
  146. * ========
  147. *
  148. *> \author Univ. of Tennessee
  149. *> \author Univ. of California Berkeley
  150. *> \author Univ. of Colorado Denver
  151. *> \author NAG Ltd.
  152. *
  153. *> \ingroup realOTHERauxiliary
  154. *
  155. *> \par Contributors:
  156. * ==================
  157. *>
  158. *> G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
  159. *> X. Sun, Computer Science Dept., Duke University, USA
  160. *>
  161. *> \n
  162. *> Partial column norm updating strategy modified on April 2011
  163. *> Z. Drmac and Z. Bujanovic, Dept. of Mathematics,
  164. *> University of Zagreb, Croatia.
  165. *
  166. *> \par References:
  167. * ================
  168. *>
  169. *> LAPACK Working Note 176
  170. *
  171. *> \htmlonly
  172. *> <a href="http://www.netlib.org/lapack/lawnspdf/lawn176.pdf">[PDF]</a>
  173. *> \endhtmlonly
  174. *
  175. * =====================================================================
  176. SUBROUTINE SLAQPS( M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1,
  177. $ VN2, AUXV, F, LDF )
  178. *
  179. * -- LAPACK auxiliary routine --
  180. * -- LAPACK is a software package provided by Univ. of Tennessee, --
  181. * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
  182. *
  183. * .. Scalar Arguments ..
  184. INTEGER KB, LDA, LDF, M, N, NB, OFFSET
  185. * ..
  186. * .. Array Arguments ..
  187. INTEGER JPVT( * )
  188. REAL A( LDA, * ), AUXV( * ), F( LDF, * ), TAU( * ),
  189. $ VN1( * ), VN2( * )
  190. * ..
  191. *
  192. * =====================================================================
  193. *
  194. * .. Parameters ..
  195. REAL ZERO, ONE
  196. PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
  197. * ..
  198. * .. Local Scalars ..
  199. INTEGER ITEMP, J, K, LASTRK, LSTICC, PVT, RK
  200. REAL AKK, TEMP, TEMP2, TOL3Z
  201. * ..
  202. * .. External Subroutines ..
  203. EXTERNAL SGEMM, SGEMV, SLARFG, SSWAP
  204. * ..
  205. * .. Intrinsic Functions ..
  206. INTRINSIC ABS, MAX, MIN, NINT, REAL, SQRT
  207. * ..
  208. * .. External Functions ..
  209. INTEGER ISAMAX
  210. REAL SLAMCH, SNRM2
  211. EXTERNAL ISAMAX, SLAMCH, SNRM2
  212. * ..
  213. * .. Executable Statements ..
  214. *
  215. LASTRK = MIN( M, N+OFFSET )
  216. LSTICC = 0
  217. K = 0
  218. TOL3Z = SQRT(SLAMCH('Epsilon'))
  219. *
  220. * Beginning of while loop.
  221. *
  222. 10 CONTINUE
  223. IF( ( K.LT.NB ) .AND. ( LSTICC.EQ.0 ) ) THEN
  224. K = K + 1
  225. RK = OFFSET + K
  226. *
  227. * Determine ith pivot column and swap if necessary
  228. *
  229. PVT = ( K-1 ) + ISAMAX( N-K+1, VN1( K ), 1 )
  230. IF( PVT.NE.K ) THEN
  231. CALL SSWAP( M, A( 1, PVT ), 1, A( 1, K ), 1 )
  232. CALL SSWAP( K-1, F( PVT, 1 ), LDF, F( K, 1 ), LDF )
  233. ITEMP = JPVT( PVT )
  234. JPVT( PVT ) = JPVT( K )
  235. JPVT( K ) = ITEMP
  236. VN1( PVT ) = VN1( K )
  237. VN2( PVT ) = VN2( K )
  238. END IF
  239. *
  240. * Apply previous Householder reflectors to column K:
  241. * A(RK:M,K) := A(RK:M,K) - A(RK:M,1:K-1)*F(K,1:K-1)**T.
  242. *
  243. IF( K.GT.1 ) THEN
  244. CALL SGEMV( 'No transpose', M-RK+1, K-1, -ONE, A( RK, 1 ),
  245. $ LDA, F( K, 1 ), LDF, ONE, A( RK, K ), 1 )
  246. END IF
  247. *
  248. * Generate elementary reflector H(k).
  249. *
  250. IF( RK.LT.M ) THEN
  251. CALL SLARFG( M-RK+1, A( RK, K ), A( RK+1, K ), 1, TAU( K ) )
  252. ELSE
  253. CALL SLARFG( 1, A( RK, K ), A( RK, K ), 1, TAU( K ) )
  254. END IF
  255. *
  256. AKK = A( RK, K )
  257. A( RK, K ) = ONE
  258. *
  259. * Compute Kth column of F:
  260. *
  261. * Compute F(K+1:N,K) := tau(K)*A(RK:M,K+1:N)**T*A(RK:M,K).
  262. *
  263. IF( K.LT.N ) THEN
  264. CALL SGEMV( 'Transpose', M-RK+1, N-K, TAU( K ),
  265. $ A( RK, K+1 ), LDA, A( RK, K ), 1, ZERO,
  266. $ F( K+1, K ), 1 )
  267. END IF
  268. *
  269. * Padding F(1:K,K) with zeros.
  270. *
  271. DO 20 J = 1, K
  272. F( J, K ) = ZERO
  273. 20 CONTINUE
  274. *
  275. * Incremental updating of F:
  276. * F(1:N,K) := F(1:N,K) - tau(K)*F(1:N,1:K-1)*A(RK:M,1:K-1)**T
  277. * *A(RK:M,K).
  278. *
  279. IF( K.GT.1 ) THEN
  280. CALL SGEMV( 'Transpose', M-RK+1, K-1, -TAU( K ), A( RK, 1 ),
  281. $ LDA, A( RK, K ), 1, ZERO, AUXV( 1 ), 1 )
  282. *
  283. CALL SGEMV( 'No transpose', N, K-1, ONE, F( 1, 1 ), LDF,
  284. $ AUXV( 1 ), 1, ONE, F( 1, K ), 1 )
  285. END IF
  286. *
  287. * Update the current row of A:
  288. * A(RK,K+1:N) := A(RK,K+1:N) - A(RK,1:K)*F(K+1:N,1:K)**T.
  289. *
  290. IF( K.LT.N ) THEN
  291. CALL SGEMV( 'No transpose', N-K, K, -ONE, F( K+1, 1 ), LDF,
  292. $ A( RK, 1 ), LDA, ONE, A( RK, K+1 ), LDA )
  293. END IF
  294. *
  295. * Update partial column norms.
  296. *
  297. IF( RK.LT.LASTRK ) THEN
  298. DO 30 J = K + 1, N
  299. IF( VN1( J ).NE.ZERO ) THEN
  300. *
  301. * NOTE: The following 4 lines follow from the analysis in
  302. * Lapack Working Note 176.
  303. *
  304. TEMP = ABS( A( RK, J ) ) / VN1( J )
  305. TEMP = MAX( ZERO, ( ONE+TEMP )*( ONE-TEMP ) )
  306. TEMP2 = TEMP*( VN1( J ) / VN2( J ) )**2
  307. IF( TEMP2 .LE. TOL3Z ) THEN
  308. VN2( J ) = REAL( LSTICC )
  309. LSTICC = J
  310. ELSE
  311. VN1( J ) = VN1( J )*SQRT( TEMP )
  312. END IF
  313. END IF
  314. 30 CONTINUE
  315. END IF
  316. *
  317. A( RK, K ) = AKK
  318. *
  319. * End of while loop.
  320. *
  321. GO TO 10
  322. END IF
  323. KB = K
  324. RK = OFFSET + KB
  325. *
  326. * Apply the block reflector to the rest of the matrix:
  327. * A(OFFSET+KB+1:M,KB+1:N) := A(OFFSET+KB+1:M,KB+1:N) -
  328. * A(OFFSET+KB+1:M,1:KB)*F(KB+1:N,1:KB)**T.
  329. *
  330. IF( KB.LT.MIN( N, M-OFFSET ) ) THEN
  331. CALL SGEMM( 'No transpose', 'Transpose', M-RK, N-KB, KB, -ONE,
  332. $ A( RK+1, 1 ), LDA, F( KB+1, 1 ), LDF, ONE,
  333. $ A( RK+1, KB+1 ), LDA )
  334. END IF
  335. *
  336. * Recomputation of difficult columns.
  337. *
  338. 40 CONTINUE
  339. IF( LSTICC.GT.0 ) THEN
  340. ITEMP = NINT( VN2( LSTICC ) )
  341. VN1( LSTICC ) = SNRM2( M-RK, A( RK+1, LSTICC ), 1 )
  342. *
  343. * NOTE: The computation of VN1( LSTICC ) relies on the fact that
  344. * SNRM2 does not fail on vectors with norm below the value of
  345. * SQRT(DLAMCH('S'))
  346. *
  347. VN2( LSTICC ) = VN1( LSTICC )
  348. LSTICC = ITEMP
  349. GO TO 40
  350. END IF
  351. *
  352. RETURN
  353. *
  354. * End of SLAQPS
  355. *
  356. END