Annotation of rpl/lapack/lapack/dggsvp.f, revision 1.8
1.1 bertrand 1: SUBROUTINE DGGSVP( JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB,
2: $ TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ,
3: $ IWORK, TAU, WORK, INFO )
4: *
1.8 ! bertrand 5: * -- LAPACK routine (version 3.3.1) --
1.1 bertrand 6: * -- LAPACK is a software package provided by Univ. of Tennessee, --
7: * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
1.8 ! bertrand 8: * -- April 2011 --
1.1 bertrand 9: *
10: * .. Scalar Arguments ..
11: CHARACTER JOBQ, JOBU, JOBV
12: INTEGER INFO, K, L, LDA, LDB, LDQ, LDU, LDV, M, N, P
13: DOUBLE PRECISION TOLA, TOLB
14: * ..
15: * .. Array Arguments ..
16: INTEGER IWORK( * )
17: DOUBLE PRECISION A( LDA, * ), B( LDB, * ), Q( LDQ, * ),
18: $ TAU( * ), U( LDU, * ), V( LDV, * ), WORK( * )
19: * ..
20: *
21: * Purpose
22: * =======
23: *
24: * DGGSVP computes orthogonal matrices U, V and Q such that
25: *
1.8 ! bertrand 26: * N-K-L K L
! 27: * U**T*A*Q = K ( 0 A12 A13 ) if M-K-L >= 0;
! 28: * L ( 0 0 A23 )
! 29: * M-K-L ( 0 0 0 )
1.1 bertrand 30: *
31: * N-K-L K L
32: * = K ( 0 A12 A13 ) if M-K-L < 0;
33: * M-K ( 0 0 A23 )
34: *
1.8 ! bertrand 35: * N-K-L K L
! 36: * V**T*B*Q = L ( 0 0 B13 )
! 37: * P-L ( 0 0 0 )
1.1 bertrand 38: *
39: * where the K-by-K matrix A12 and L-by-L matrix B13 are nonsingular
40: * upper triangular; A23 is L-by-L upper triangular if M-K-L >= 0,
41: * otherwise A23 is (M-K)-by-L upper trapezoidal. K+L = the effective
1.8 ! bertrand 42: * numerical rank of the (M+P)-by-N matrix (A**T,B**T)**T.
1.1 bertrand 43: *
44: * This decomposition is the preprocessing step for computing the
45: * Generalized Singular Value Decomposition (GSVD), see subroutine
46: * DGGSVD.
47: *
48: * Arguments
49: * =========
50: *
51: * JOBU (input) CHARACTER*1
52: * = 'U': Orthogonal matrix U is computed;
53: * = 'N': U is not computed.
54: *
55: * JOBV (input) CHARACTER*1
56: * = 'V': Orthogonal matrix V is computed;
57: * = 'N': V is not computed.
58: *
59: * JOBQ (input) CHARACTER*1
60: * = 'Q': Orthogonal matrix Q is computed;
61: * = 'N': Q is not computed.
62: *
63: * M (input) INTEGER
64: * The number of rows of the matrix A. M >= 0.
65: *
66: * P (input) INTEGER
67: * The number of rows of the matrix B. P >= 0.
68: *
69: * N (input) INTEGER
70: * The number of columns of the matrices A and B. N >= 0.
71: *
72: * A (input/output) DOUBLE PRECISION array, dimension (LDA,N)
73: * On entry, the M-by-N matrix A.
74: * On exit, A contains the triangular (or trapezoidal) matrix
75: * described in the Purpose section.
76: *
77: * LDA (input) INTEGER
78: * The leading dimension of the array A. LDA >= max(1,M).
79: *
80: * B (input/output) DOUBLE PRECISION array, dimension (LDB,N)
81: * On entry, the P-by-N matrix B.
82: * On exit, B contains the triangular matrix described in
83: * the Purpose section.
84: *
85: * LDB (input) INTEGER
86: * The leading dimension of the array B. LDB >= max(1,P).
87: *
88: * TOLA (input) DOUBLE PRECISION
89: * TOLB (input) DOUBLE PRECISION
90: * TOLA and TOLB are the thresholds to determine the effective
91: * numerical rank of matrix B and a subblock of A. Generally,
92: * they are set to
93: * TOLA = MAX(M,N)*norm(A)*MAZHEPS,
94: * TOLB = MAX(P,N)*norm(B)*MAZHEPS.
95: * The size of TOLA and TOLB may affect the size of backward
96: * errors of the decomposition.
97: *
98: * K (output) INTEGER
99: * L (output) INTEGER
100: * On exit, K and L specify the dimension of the subblocks
1.8 ! bertrand 101: * described in Purpose section.
! 102: * K + L = effective numerical rank of (A**T,B**T)**T.
1.1 bertrand 103: *
104: * U (output) DOUBLE PRECISION array, dimension (LDU,M)
105: * If JOBU = 'U', U contains the orthogonal matrix U.
106: * If JOBU = 'N', U is not referenced.
107: *
108: * LDU (input) INTEGER
109: * The leading dimension of the array U. LDU >= max(1,M) if
110: * JOBU = 'U'; LDU >= 1 otherwise.
111: *
112: * V (output) DOUBLE PRECISION array, dimension (LDV,P)
113: * If JOBV = 'V', V contains the orthogonal matrix V.
114: * If JOBV = 'N', V is not referenced.
115: *
116: * LDV (input) INTEGER
117: * The leading dimension of the array V. LDV >= max(1,P) if
118: * JOBV = 'V'; LDV >= 1 otherwise.
119: *
120: * Q (output) DOUBLE PRECISION array, dimension (LDQ,N)
121: * If JOBQ = 'Q', Q contains the orthogonal matrix Q.
122: * If JOBQ = 'N', Q is not referenced.
123: *
124: * LDQ (input) INTEGER
125: * The leading dimension of the array Q. LDQ >= max(1,N) if
126: * JOBQ = 'Q'; LDQ >= 1 otherwise.
127: *
128: * IWORK (workspace) INTEGER array, dimension (N)
129: *
130: * TAU (workspace) DOUBLE PRECISION array, dimension (N)
131: *
132: * WORK (workspace) DOUBLE PRECISION array, dimension (max(3*N,M,P))
133: *
134: * INFO (output) INTEGER
135: * = 0: successful exit
136: * < 0: if INFO = -i, the i-th argument had an illegal value.
137: *
138: *
139: * Further Details
140: * ===============
141: *
142: * The subroutine uses LAPACK subroutine DGEQPF for the QR factorization
143: * with column pivoting to detect the effective numerical rank of the
144: * a matrix. It may be replaced by a better rank determination strategy.
145: *
146: * =====================================================================
147: *
148: * .. Parameters ..
149: DOUBLE PRECISION ZERO, ONE
150: PARAMETER ( ZERO = 0.0D+0, ONE = 1.0D+0 )
151: * ..
152: * .. Local Scalars ..
153: LOGICAL FORWRD, WANTQ, WANTU, WANTV
154: INTEGER I, J
155: * ..
156: * .. External Functions ..
157: LOGICAL LSAME
158: EXTERNAL LSAME
159: * ..
160: * .. External Subroutines ..
161: EXTERNAL DGEQPF, DGEQR2, DGERQ2, DLACPY, DLAPMT, DLASET,
162: $ DORG2R, DORM2R, DORMR2, XERBLA
163: * ..
164: * .. Intrinsic Functions ..
165: INTRINSIC ABS, MAX, MIN
166: * ..
167: * .. Executable Statements ..
168: *
169: * Test the input parameters
170: *
171: WANTU = LSAME( JOBU, 'U' )
172: WANTV = LSAME( JOBV, 'V' )
173: WANTQ = LSAME( JOBQ, 'Q' )
174: FORWRD = .TRUE.
175: *
176: INFO = 0
177: IF( .NOT.( WANTU .OR. LSAME( JOBU, 'N' ) ) ) THEN
178: INFO = -1
179: ELSE IF( .NOT.( WANTV .OR. LSAME( JOBV, 'N' ) ) ) THEN
180: INFO = -2
181: ELSE IF( .NOT.( WANTQ .OR. LSAME( JOBQ, 'N' ) ) ) THEN
182: INFO = -3
183: ELSE IF( M.LT.0 ) THEN
184: INFO = -4
185: ELSE IF( P.LT.0 ) THEN
186: INFO = -5
187: ELSE IF( N.LT.0 ) THEN
188: INFO = -6
189: ELSE IF( LDA.LT.MAX( 1, M ) ) THEN
190: INFO = -8
191: ELSE IF( LDB.LT.MAX( 1, P ) ) THEN
192: INFO = -10
193: ELSE IF( LDU.LT.1 .OR. ( WANTU .AND. LDU.LT.M ) ) THEN
194: INFO = -16
195: ELSE IF( LDV.LT.1 .OR. ( WANTV .AND. LDV.LT.P ) ) THEN
196: INFO = -18
197: ELSE IF( LDQ.LT.1 .OR. ( WANTQ .AND. LDQ.LT.N ) ) THEN
198: INFO = -20
199: END IF
200: IF( INFO.NE.0 ) THEN
201: CALL XERBLA( 'DGGSVP', -INFO )
202: RETURN
203: END IF
204: *
205: * QR with column pivoting of B: B*P = V*( S11 S12 )
206: * ( 0 0 )
207: *
208: DO 10 I = 1, N
209: IWORK( I ) = 0
210: 10 CONTINUE
211: CALL DGEQPF( P, N, B, LDB, IWORK, TAU, WORK, INFO )
212: *
213: * Update A := A*P
214: *
215: CALL DLAPMT( FORWRD, M, N, A, LDA, IWORK )
216: *
217: * Determine the effective rank of matrix B.
218: *
219: L = 0
220: DO 20 I = 1, MIN( P, N )
221: IF( ABS( B( I, I ) ).GT.TOLB )
222: $ L = L + 1
223: 20 CONTINUE
224: *
225: IF( WANTV ) THEN
226: *
227: * Copy the details of V, and form V.
228: *
229: CALL DLASET( 'Full', P, P, ZERO, ZERO, V, LDV )
230: IF( P.GT.1 )
231: $ CALL DLACPY( 'Lower', P-1, N, B( 2, 1 ), LDB, V( 2, 1 ),
232: $ LDV )
233: CALL DORG2R( P, P, MIN( P, N ), V, LDV, TAU, WORK, INFO )
234: END IF
235: *
236: * Clean up B
237: *
238: DO 40 J = 1, L - 1
239: DO 30 I = J + 1, L
240: B( I, J ) = ZERO
241: 30 CONTINUE
242: 40 CONTINUE
243: IF( P.GT.L )
244: $ CALL DLASET( 'Full', P-L, N, ZERO, ZERO, B( L+1, 1 ), LDB )
245: *
246: IF( WANTQ ) THEN
247: *
248: * Set Q = I and Update Q := Q*P
249: *
250: CALL DLASET( 'Full', N, N, ZERO, ONE, Q, LDQ )
251: CALL DLAPMT( FORWRD, N, N, Q, LDQ, IWORK )
252: END IF
253: *
254: IF( P.GE.L .AND. N.NE.L ) THEN
255: *
256: * RQ factorization of (S11 S12): ( S11 S12 ) = ( 0 S12 )*Z
257: *
258: CALL DGERQ2( L, N, B, LDB, TAU, WORK, INFO )
259: *
1.8 ! bertrand 260: * Update A := A*Z**T
1.1 bertrand 261: *
262: CALL DORMR2( 'Right', 'Transpose', M, N, L, B, LDB, TAU, A,
263: $ LDA, WORK, INFO )
264: *
265: IF( WANTQ ) THEN
266: *
1.8 ! bertrand 267: * Update Q := Q*Z**T
1.1 bertrand 268: *
269: CALL DORMR2( 'Right', 'Transpose', N, N, L, B, LDB, TAU, Q,
270: $ LDQ, WORK, INFO )
271: END IF
272: *
273: * Clean up B
274: *
275: CALL DLASET( 'Full', L, N-L, ZERO, ZERO, B, LDB )
276: DO 60 J = N - L + 1, N
277: DO 50 I = J - N + L + 1, L
278: B( I, J ) = ZERO
279: 50 CONTINUE
280: 60 CONTINUE
281: *
282: END IF
283: *
284: * Let N-L L
285: * A = ( A11 A12 ) M,
286: *
287: * then the following does the complete QR decomposition of A11:
288: *
1.8 ! bertrand 289: * A11 = U*( 0 T12 )*P1**T
1.1 bertrand 290: * ( 0 0 )
291: *
292: DO 70 I = 1, N - L
293: IWORK( I ) = 0
294: 70 CONTINUE
295: CALL DGEQPF( M, N-L, A, LDA, IWORK, TAU, WORK, INFO )
296: *
297: * Determine the effective rank of A11
298: *
299: K = 0
300: DO 80 I = 1, MIN( M, N-L )
301: IF( ABS( A( I, I ) ).GT.TOLA )
302: $ K = K + 1
303: 80 CONTINUE
304: *
1.8 ! bertrand 305: * Update A12 := U**T*A12, where A12 = A( 1:M, N-L+1:N )
1.1 bertrand 306: *
307: CALL DORM2R( 'Left', 'Transpose', M, L, MIN( M, N-L ), A, LDA,
308: $ TAU, A( 1, N-L+1 ), LDA, WORK, INFO )
309: *
310: IF( WANTU ) THEN
311: *
312: * Copy the details of U, and form U
313: *
314: CALL DLASET( 'Full', M, M, ZERO, ZERO, U, LDU )
315: IF( M.GT.1 )
316: $ CALL DLACPY( 'Lower', M-1, N-L, A( 2, 1 ), LDA, U( 2, 1 ),
317: $ LDU )
318: CALL DORG2R( M, M, MIN( M, N-L ), U, LDU, TAU, WORK, INFO )
319: END IF
320: *
321: IF( WANTQ ) THEN
322: *
323: * Update Q( 1:N, 1:N-L ) = Q( 1:N, 1:N-L )*P1
324: *
325: CALL DLAPMT( FORWRD, N, N-L, Q, LDQ, IWORK )
326: END IF
327: *
328: * Clean up A: set the strictly lower triangular part of
329: * A(1:K, 1:K) = 0, and A( K+1:M, 1:N-L ) = 0.
330: *
331: DO 100 J = 1, K - 1
332: DO 90 I = J + 1, K
333: A( I, J ) = ZERO
334: 90 CONTINUE
335: 100 CONTINUE
336: IF( M.GT.K )
337: $ CALL DLASET( 'Full', M-K, N-L, ZERO, ZERO, A( K+1, 1 ), LDA )
338: *
339: IF( N-L.GT.K ) THEN
340: *
341: * RQ factorization of ( T11 T12 ) = ( 0 T12 )*Z1
342: *
343: CALL DGERQ2( K, N-L, A, LDA, TAU, WORK, INFO )
344: *
345: IF( WANTQ ) THEN
346: *
1.8 ! bertrand 347: * Update Q( 1:N,1:N-L ) = Q( 1:N,1:N-L )*Z1**T
1.1 bertrand 348: *
349: CALL DORMR2( 'Right', 'Transpose', N, N-L, K, A, LDA, TAU,
350: $ Q, LDQ, WORK, INFO )
351: END IF
352: *
353: * Clean up A
354: *
355: CALL DLASET( 'Full', K, N-L-K, ZERO, ZERO, A, LDA )
356: DO 120 J = N - L - K + 1, N - L
357: DO 110 I = J - N + L + K + 1, K
358: A( I, J ) = ZERO
359: 110 CONTINUE
360: 120 CONTINUE
361: *
362: END IF
363: *
364: IF( M.GT.K ) THEN
365: *
366: * QR factorization of A( K+1:M,N-L+1:N )
367: *
368: CALL DGEQR2( M-K, L, A( K+1, N-L+1 ), LDA, TAU, WORK, INFO )
369: *
370: IF( WANTU ) THEN
371: *
372: * Update U(:,K+1:M) := U(:,K+1:M)*U1
373: *
374: CALL DORM2R( 'Right', 'No transpose', M, M-K, MIN( M-K, L ),
375: $ A( K+1, N-L+1 ), LDA, TAU, U( 1, K+1 ), LDU,
376: $ WORK, INFO )
377: END IF
378: *
379: * Clean up
380: *
381: DO 140 J = N - L + 1, N
382: DO 130 I = J - N + K + L + 1, M
383: A( I, J ) = ZERO
384: 130 CONTINUE
385: 140 CONTINUE
386: *
387: END IF
388: *
389: RETURN
390: *
391: * End of DGGSVP
392: *
393: END
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