LAPACK  3.6.1
LAPACK: Linear Algebra PACKage
zlaqps.f
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1 *> \brief \b ZLAQPS 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 ZLAQPS + dependencies
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11 *> [TGZ]</a>
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13 *> [ZIP]</a>
14 *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/zlaqps.f">
15 *> [TXT]</a>
16 *> \endhtmlonly
17 *
18 * Definition:
19 * ===========
20 *
21 * SUBROUTINE ZLAQPS( 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 * DOUBLE PRECISION VN1( * ), VN2( * )
30 * COMPLEX*16 A( LDA, * ), AUXV( * ), F( LDF, * ), TAU( * )
31 * ..
32 *
33 *
34 *> \par Purpose:
35 * =============
36 *>
37 *> \verbatim
38 *>
39 *> ZLAQPS computes a step of QR factorization with column pivoting
40 *> of a complex 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 COMPLEX*16 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 COMPLEX*16 array, dimension (KB)
112 *> The scalar factors of the elementary reflectors.
113 *> \endverbatim
114 *>
115 *> \param[in,out] VN1
116 *> \verbatim
117 *> VN1 is DOUBLE PRECISION array, dimension (N)
118 *> The vector with the partial column norms.
119 *> \endverbatim
120 *>
121 *> \param[in,out] VN2
122 *> \verbatim
123 *> VN2 is DOUBLE PRECISION array, dimension (N)
124 *> The vector with the exact column norms.
125 *> \endverbatim
126 *>
127 *> \param[in,out] AUXV
128 *> \verbatim
129 *> AUXV is COMPLEX*16 array, dimension (NB)
130 *> Auxiliar vector.
131 *> \endverbatim
132 *>
133 *> \param[in,out] F
134 *> \verbatim
135 *> F is COMPLEX*16 array, dimension (LDF,NB)
136 *> Matrix F**H = L * Y**H * 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 *> \date September 2012
154 *
155 *> \ingroup complex16OTHERauxiliary
156 *
157 *> \par Contributors:
158 * ==================
159 *>
160 *> G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
161 *> X. Sun, Computer Science Dept., Duke University, USA
162 *> \n
163 *> Partial column norm updating strategy modified on April 2011
164 *> Z. Drmac and Z. Bujanovic, Dept. of Mathematics,
165 *> University of Zagreb, Croatia.
166 *
167 *> \par References:
168 * ================
169 *>
170 *> LAPACK Working Note 176
171 *
172 *> \htmlonly
173 *> <a href="http://www.netlib.org/lapack/lawnspdf/lawn176.pdf">[PDF]</a>
174 *> \endhtmlonly
175 *
176 * =====================================================================
177  SUBROUTINE zlaqps( M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1,
178  $ vn2, auxv, f, ldf )
179 *
180 * -- LAPACK auxiliary routine (version 3.4.2) --
181 * -- LAPACK is a software package provided by Univ. of Tennessee, --
182 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
183 * September 2012
184 *
185 * .. Scalar Arguments ..
186  INTEGER KB, LDA, LDF, M, N, NB, OFFSET
187 * ..
188 * .. Array Arguments ..
189  INTEGER JPVT( * )
190  DOUBLE PRECISION VN1( * ), VN2( * )
191  COMPLEX*16 A( lda, * ), AUXV( * ), F( ldf, * ), TAU( * )
192 * ..
193 *
194 * =====================================================================
195 *
196 * .. Parameters ..
197  DOUBLE PRECISION ZERO, ONE
198  COMPLEX*16 CZERO, CONE
199  parameter ( zero = 0.0d+0, one = 1.0d+0,
200  $ czero = ( 0.0d+0, 0.0d+0 ),
201  $ cone = ( 1.0d+0, 0.0d+0 ) )
202 * ..
203 * .. Local Scalars ..
204  INTEGER ITEMP, J, K, LASTRK, LSTICC, PVT, RK
205  DOUBLE PRECISION TEMP, TEMP2, TOL3Z
206  COMPLEX*16 AKK
207 * ..
208 * .. External Subroutines ..
209  EXTERNAL zgemm, zgemv, zlarfg, zswap
210 * ..
211 * .. Intrinsic Functions ..
212  INTRINSIC abs, dble, dconjg, max, min, nint, sqrt
213 * ..
214 * .. External Functions ..
215  INTEGER IDAMAX
216  DOUBLE PRECISION DLAMCH, DZNRM2
217  EXTERNAL idamax, dlamch, dznrm2
218 * ..
219 * .. Executable Statements ..
220 *
221  lastrk = min( m, n+offset )
222  lsticc = 0
223  k = 0
224  tol3z = sqrt(dlamch('Epsilon'))
225 *
226 * Beginning of while loop.
227 *
228  10 CONTINUE
229  IF( ( k.LT.nb ) .AND. ( lsticc.EQ.0 ) ) THEN
230  k = k + 1
231  rk = offset + k
232 *
233 * Determine ith pivot column and swap if necessary
234 *
235  pvt = ( k-1 ) + idamax( n-k+1, vn1( k ), 1 )
236  IF( pvt.NE.k ) THEN
237  CALL zswap( m, a( 1, pvt ), 1, a( 1, k ), 1 )
238  CALL zswap( k-1, f( pvt, 1 ), ldf, f( k, 1 ), ldf )
239  itemp = jpvt( pvt )
240  jpvt( pvt ) = jpvt( k )
241  jpvt( k ) = itemp
242  vn1( pvt ) = vn1( k )
243  vn2( pvt ) = vn2( k )
244  END IF
245 *
246 * Apply previous Householder reflectors to column K:
247 * A(RK:M,K) := A(RK:M,K) - A(RK:M,1:K-1)*F(K,1:K-1)**H.
248 *
249  IF( k.GT.1 ) THEN
250  DO 20 j = 1, k - 1
251  f( k, j ) = dconjg( f( k, j ) )
252  20 CONTINUE
253  CALL zgemv( 'No transpose', m-rk+1, k-1, -cone, a( rk, 1 ),
254  $ lda, f( k, 1 ), ldf, cone, a( rk, k ), 1 )
255  DO 30 j = 1, k - 1
256  f( k, j ) = dconjg( f( k, j ) )
257  30 CONTINUE
258  END IF
259 *
260 * Generate elementary reflector H(k).
261 *
262  IF( rk.LT.m ) THEN
263  CALL zlarfg( m-rk+1, a( rk, k ), a( rk+1, k ), 1, tau( k ) )
264  ELSE
265  CALL zlarfg( 1, a( rk, k ), a( rk, k ), 1, tau( k ) )
266  END IF
267 *
268  akk = a( rk, k )
269  a( rk, k ) = cone
270 *
271 * Compute Kth column of F:
272 *
273 * Compute F(K+1:N,K) := tau(K)*A(RK:M,K+1:N)**H*A(RK:M,K).
274 *
275  IF( k.LT.n ) THEN
276  CALL zgemv( 'Conjugate transpose', m-rk+1, n-k, tau( k ),
277  $ a( rk, k+1 ), lda, a( rk, k ), 1, czero,
278  $ f( k+1, k ), 1 )
279  END IF
280 *
281 * Padding F(1:K,K) with zeros.
282 *
283  DO 40 j = 1, k
284  f( j, k ) = czero
285  40 CONTINUE
286 *
287 * Incremental updating of F:
288 * F(1:N,K) := F(1:N,K) - tau(K)*F(1:N,1:K-1)*A(RK:M,1:K-1)**H
289 * *A(RK:M,K).
290 *
291  IF( k.GT.1 ) THEN
292  CALL zgemv( 'Conjugate transpose', m-rk+1, k-1, -tau( k ),
293  $ a( rk, 1 ), lda, a( rk, k ), 1, czero,
294  $ auxv( 1 ), 1 )
295 *
296  CALL zgemv( 'No transpose', n, k-1, cone, f( 1, 1 ), ldf,
297  $ auxv( 1 ), 1, cone, f( 1, k ), 1 )
298  END IF
299 *
300 * Update the current row of A:
301 * A(RK,K+1:N) := A(RK,K+1:N) - A(RK,1:K)*F(K+1:N,1:K)**H.
302 *
303  IF( k.LT.n ) THEN
304  CALL zgemm( 'No transpose', 'Conjugate transpose', 1, n-k,
305  $ k, -cone, a( rk, 1 ), lda, f( k+1, 1 ), ldf,
306  $ cone, a( rk, k+1 ), lda )
307  END IF
308 *
309 * Update partial column norms.
310 *
311  IF( rk.LT.lastrk ) THEN
312  DO 50 j = k + 1, n
313  IF( vn1( j ).NE.zero ) THEN
314 *
315 * NOTE: The following 4 lines follow from the analysis in
316 * Lapack Working Note 176.
317 *
318  temp = abs( a( rk, j ) ) / vn1( j )
319  temp = max( zero, ( one+temp )*( one-temp ) )
320  temp2 = temp*( vn1( j ) / vn2( j ) )**2
321  IF( temp2 .LE. tol3z ) THEN
322  vn2( j ) = dble( lsticc )
323  lsticc = j
324  ELSE
325  vn1( j ) = vn1( j )*sqrt( temp )
326  END IF
327  END IF
328  50 CONTINUE
329  END IF
330 *
331  a( rk, k ) = akk
332 *
333 * End of while loop.
334 *
335  GO TO 10
336  END IF
337  kb = k
338  rk = offset + kb
339 *
340 * Apply the block reflector to the rest of the matrix:
341 * A(OFFSET+KB+1:M,KB+1:N) := A(OFFSET+KB+1:M,KB+1:N) -
342 * A(OFFSET+KB+1:M,1:KB)*F(KB+1:N,1:KB)**H.
343 *
344  IF( kb.LT.min( n, m-offset ) ) THEN
345  CALL zgemm( 'No transpose', 'Conjugate transpose', m-rk, n-kb,
346  $ kb, -cone, a( rk+1, 1 ), lda, f( kb+1, 1 ), ldf,
347  $ cone, a( rk+1, kb+1 ), lda )
348  END IF
349 *
350 * Recomputation of difficult columns.
351 *
352  60 CONTINUE
353  IF( lsticc.GT.0 ) THEN
354  itemp = nint( vn2( lsticc ) )
355  vn1( lsticc ) = dznrm2( m-rk, a( rk+1, lsticc ), 1 )
356 *
357 * NOTE: The computation of VN1( LSTICC ) relies on the fact that
358 * SNRM2 does not fail on vectors with norm below the value of
359 * SQRT(DLAMCH('S'))
360 *
361  vn2( lsticc ) = vn1( lsticc )
362  lsticc = itemp
363  GO TO 60
364  END IF
365 *
366  RETURN
367 *
368 * End of ZLAQPS
369 *
370  END
subroutine zgemv(TRANS, M, N, ALPHA, A, LDA, X, INCX, BETA, Y, INCY)
ZGEMV
Definition: zgemv.f:160
subroutine zlarfg(N, ALPHA, X, INCX, TAU)
ZLARFG generates an elementary reflector (Householder matrix).
Definition: zlarfg.f:108
subroutine zswap(N, ZX, INCX, ZY, INCY)
ZSWAP
Definition: zswap.f:52
subroutine zgemm(TRANSA, TRANSB, M, N, K, ALPHA, A, LDA, B, LDB, BETA, C, LDC)
ZGEMM
Definition: zgemm.f:189
subroutine zlaqps(M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1, VN2, AUXV, F, LDF)
ZLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BL...
Definition: zlaqps.f:179