Annotation of rpl/lapack/lapack/dorgtsqr.f, revision 1.2
1.1 bertrand 1: *> \brief \b DORGTSQR
2: *
3: * =========== DOCUMENTATION ===========
4: *
5: * Online html documentation available at
6: * http://www.netlib.org/lapack/explore-html/
7: *
8: *> \htmlonly
9: *> Download DORGTSQR + dependencies
10: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dorgtsqr.f">
11: *> [TGZ]</a>
12: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dorgtsqr.f">
13: *> [ZIP]</a>
14: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dorgtsqr.f">
15: *> [TXT]</a>
1.2 ! bertrand 16: *> \endhtmlonly
! 17: *
1.1 bertrand 18: * Definition:
19: * ===========
20: *
21: * SUBROUTINE DORGTSQR( M, N, MB, NB, A, LDA, T, LDT, WORK, LWORK,
22: * $ INFO )
23: *
24: * .. Scalar Arguments ..
25: * INTEGER INFO, LDA, LDT, LWORK, M, N, MB, NB
26: * ..
27: * .. Array Arguments ..
28: * DOUBLE PRECISION A( LDA, * ), T( LDT, * ), WORK( * )
29: * ..
30: *
31: *> \par Purpose:
32: * =============
33: *>
34: *> \verbatim
35: *>
36: *> DORGTSQR generates an M-by-N real matrix Q_out with orthonormal columns,
37: *> which are the first N columns of a product of real orthogonal
38: *> matrices of order M which are returned by DLATSQR
39: *>
40: *> Q_out = first_N_columns_of( Q(1)_in * Q(2)_in * ... * Q(k)_in ).
41: *>
42: *> See the documentation for DLATSQR.
43: *> \endverbatim
44: *
45: * Arguments:
46: * ==========
47: *
48: *> \param[in] M
49: *> \verbatim
50: *> M is INTEGER
51: *> The number of rows of the matrix A. M >= 0.
52: *> \endverbatim
53: *>
54: *> \param[in] N
55: *> \verbatim
56: *> N is INTEGER
57: *> The number of columns of the matrix A. M >= N >= 0.
58: *> \endverbatim
59: *>
60: *> \param[in] MB
61: *> \verbatim
62: *> MB is INTEGER
63: *> The row block size used by DLATSQR to return
64: *> arrays A and T. MB > N.
65: *> (Note that if MB > M, then M is used instead of MB
66: *> as the row block size).
67: *> \endverbatim
68: *>
69: *> \param[in] NB
70: *> \verbatim
71: *> NB is INTEGER
72: *> The column block size used by DLATSQR to return
73: *> arrays A and T. NB >= 1.
74: *> (Note that if NB > N, then N is used instead of NB
75: *> as the column block size).
76: *> \endverbatim
77: *>
78: *> \param[in,out] A
79: *> \verbatim
80: *> A is DOUBLE PRECISION array, dimension (LDA,N)
81: *>
82: *> On entry:
83: *>
84: *> The elements on and above the diagonal are not accessed.
85: *> The elements below the diagonal represent the unit
86: *> lower-trapezoidal blocked matrix V computed by DLATSQR
87: *> that defines the input matrices Q_in(k) (ones on the
88: *> diagonal are not stored) (same format as the output A
89: *> below the diagonal in DLATSQR).
90: *>
91: *> On exit:
92: *>
93: *> The array A contains an M-by-N orthonormal matrix Q_out,
94: *> i.e the columns of A are orthogonal unit vectors.
95: *> \endverbatim
96: *>
97: *> \param[in] LDA
98: *> \verbatim
99: *> LDA is INTEGER
100: *> The leading dimension of the array A. LDA >= max(1,M).
101: *> \endverbatim
102: *>
103: *> \param[in] T
104: *> \verbatim
105: *> T is DOUBLE PRECISION array,
106: *> dimension (LDT, N * NIRB)
107: *> where NIRB = Number_of_input_row_blocks
108: *> = MAX( 1, CEIL((M-N)/(MB-N)) )
109: *> Let NICB = Number_of_input_col_blocks
110: *> = CEIL(N/NB)
111: *>
112: *> The upper-triangular block reflectors used to define the
113: *> input matrices Q_in(k), k=(1:NIRB*NICB). The block
114: *> reflectors are stored in compact form in NIRB block
115: *> reflector sequences. Each of NIRB block reflector sequences
116: *> is stored in a larger NB-by-N column block of T and consists
117: *> of NICB smaller NB-by-NB upper-triangular column blocks.
118: *> (same format as the output T in DLATSQR).
119: *> \endverbatim
120: *>
121: *> \param[in] LDT
122: *> \verbatim
123: *> LDT is INTEGER
124: *> The leading dimension of the array T.
125: *> LDT >= max(1,min(NB1,N)).
126: *> \endverbatim
127: *>
128: *> \param[out] WORK
129: *> \verbatim
130: *> (workspace) DOUBLE PRECISION array, dimension (MAX(2,LWORK))
131: *> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
132: *> \endverbatim
133: *>
134: *> \param[in] LWORK
135: *> \verbatim
136: *> The dimension of the array WORK. LWORK >= (M+NB)*N.
137: *> If LWORK = -1, then a workspace query is assumed.
138: *> The routine only calculates the optimal size of the WORK
139: *> array, returns this value as the first entry of the WORK
140: *> array, and no error message related to LWORK is issued
141: *> by XERBLA.
142: *> \endverbatim
143: *>
144: *> \param[out] INFO
145: *> \verbatim
146: *> INFO is INTEGER
147: *> = 0: successful exit
148: *> < 0: if INFO = -i, the i-th argument had an illegal value
149: *> \endverbatim
150: *>
151: * Authors:
152: * ========
153: *
154: *> \author Univ. of Tennessee
155: *> \author Univ. of California Berkeley
156: *> \author Univ. of Colorado Denver
157: *> \author NAG Ltd.
158: *
159: *> \ingroup doubleOTHERcomputational
160: *
161: *> \par Contributors:
162: * ==================
163: *>
164: *> \verbatim
165: *>
166: *> November 2019, Igor Kozachenko,
167: *> Computer Science Division,
168: *> University of California, Berkeley
169: *>
170: *> \endverbatim
171: *
172: * =====================================================================
173: SUBROUTINE DORGTSQR( M, N, MB, NB, A, LDA, T, LDT, WORK, LWORK,
174: $ INFO )
175: IMPLICIT NONE
176: *
1.2 ! bertrand 177: * -- LAPACK computational routine --
1.1 bertrand 178: * -- LAPACK is a software package provided by Univ. of Tennessee, --
179: * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
180: *
181: * .. Scalar Arguments ..
182: INTEGER INFO, LDA, LDT, LWORK, M, N, MB, NB
183: * ..
184: * .. Array Arguments ..
185: DOUBLE PRECISION A( LDA, * ), T( LDT, * ), WORK( * )
186: * ..
187: *
188: * =====================================================================
189: *
190: * .. Parameters ..
191: DOUBLE PRECISION ONE, ZERO
192: PARAMETER ( ONE = 1.0D+0, ZERO = 0.0D+0 )
193: * ..
194: * .. Local Scalars ..
195: LOGICAL LQUERY
196: INTEGER IINFO, LDC, LWORKOPT, LC, LW, NBLOCAL, J
197: * ..
198: * .. External Subroutines ..
199: EXTERNAL DCOPY, DLAMTSQR, DLASET, XERBLA
200: * ..
201: * .. Intrinsic Functions ..
202: INTRINSIC DBLE, MAX, MIN
203: * ..
204: * .. Executable Statements ..
205: *
206: * Test the input parameters
207: *
208: LQUERY = LWORK.EQ.-1
209: INFO = 0
210: IF( M.LT.0 ) THEN
211: INFO = -1
212: ELSE IF( N.LT.0 .OR. M.LT.N ) THEN
213: INFO = -2
214: ELSE IF( MB.LE.N ) THEN
215: INFO = -3
216: ELSE IF( NB.LT.1 ) THEN
217: INFO = -4
218: ELSE IF( LDA.LT.MAX( 1, M ) ) THEN
219: INFO = -6
220: ELSE IF( LDT.LT.MAX( 1, MIN( NB, N ) ) ) THEN
221: INFO = -8
222: ELSE
223: *
224: * Test the input LWORK for the dimension of the array WORK.
225: * This workspace is used to store array C(LDC, N) and WORK(LWORK)
226: * in the call to DLAMTSQR. See the documentation for DLAMTSQR.
227: *
228: IF( LWORK.LT.2 .AND. (.NOT.LQUERY) ) THEN
229: INFO = -10
230: ELSE
231: *
232: * Set block size for column blocks
233: *
234: NBLOCAL = MIN( NB, N )
235: *
236: * LWORK = -1, then set the size for the array C(LDC,N)
237: * in DLAMTSQR call and set the optimal size of the work array
238: * WORK(LWORK) in DLAMTSQR call.
239: *
240: LDC = M
241: LC = LDC*N
242: LW = N * NBLOCAL
243: *
244: LWORKOPT = LC+LW
245: *
246: IF( ( LWORK.LT.MAX( 1, LWORKOPT ) ).AND.(.NOT.LQUERY) ) THEN
247: INFO = -10
248: END IF
249: END IF
250: *
251: END IF
252: *
253: * Handle error in the input parameters and return workspace query.
254: *
255: IF( INFO.NE.0 ) THEN
256: CALL XERBLA( 'DORGTSQR', -INFO )
257: RETURN
258: ELSE IF ( LQUERY ) THEN
259: WORK( 1 ) = DBLE( LWORKOPT )
260: RETURN
261: END IF
262: *
263: * Quick return if possible
264: *
265: IF( MIN( M, N ).EQ.0 ) THEN
266: WORK( 1 ) = DBLE( LWORKOPT )
267: RETURN
268: END IF
269: *
270: * (1) Form explicitly the tall-skinny M-by-N left submatrix Q1_in
271: * of M-by-M orthogonal matrix Q_in, which is implicitly stored in
272: * the subdiagonal part of input array A and in the input array T.
273: * Perform by the following operation using the routine DLAMTSQR.
274: *
275: * Q1_in = Q_in * ( I ), where I is a N-by-N identity matrix,
276: * ( 0 ) 0 is a (M-N)-by-N zero matrix.
277: *
278: * (1a) Form M-by-N matrix in the array WORK(1:LDC*N) with ones
279: * on the diagonal and zeros elsewhere.
280: *
281: CALL DLASET( 'F', M, N, ZERO, ONE, WORK, LDC )
282: *
283: * (1b) On input, WORK(1:LDC*N) stores ( I );
284: * ( 0 )
285: *
286: * On output, WORK(1:LDC*N) stores Q1_in.
287: *
288: CALL DLAMTSQR( 'L', 'N', M, N, N, MB, NBLOCAL, A, LDA, T, LDT,
289: $ WORK, LDC, WORK( LC+1 ), LW, IINFO )
290: *
291: * (2) Copy the result from the part of the work array (1:M,1:N)
292: * with the leading dimension LDC that starts at WORK(1) into
293: * the output array A(1:M,1:N) column-by-column.
294: *
295: DO J = 1, N
296: CALL DCOPY( M, WORK( (J-1)*LDC + 1 ), 1, A( 1, J ), 1 )
297: END DO
298: *
299: WORK( 1 ) = DBLE( LWORKOPT )
300: RETURN
301: *
302: * End of DORGTSQR
303: *
1.2 ! bertrand 304: END
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