1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
|
*> \brief \b SLAGV2
*
* =========== DOCUMENTATION ===========
*
* Online html documentation available at
* http://www.netlib.org/lapack/explore-html/
*
* Definition
* ==========
*
* SUBROUTINE SLAGV2( A, LDA, B, LDB, ALPHAR, ALPHAI, BETA, CSL, SNL,
* CSR, SNR )
*
* .. Scalar Arguments ..
* INTEGER LDA, LDB
* REAL CSL, CSR, SNL, SNR
* ..
* .. Array Arguments ..
* REAL A( LDA, * ), ALPHAI( 2 ), ALPHAR( 2 ),
* $ B( LDB, * ), BETA( 2 )
* ..
*
* Purpose
* =======
*
*>\details \b Purpose:
*>\verbatim
*>
*> SLAGV2 computes the Generalized Schur factorization of a real 2-by-2
*> matrix pencil (A,B) where B is upper triangular. This routine
*> computes orthogonal (rotation) matrices given by CSL, SNL and CSR,
*> SNR such that
*>
*> 1) if the pencil (A,B) has two real eigenvalues (include 0/0 or 1/0
*> types), then
*>
*> [ a11 a12 ] := [ CSL SNL ] [ a11 a12 ] [ CSR -SNR ]
*> [ 0 a22 ] [ -SNL CSL ] [ a21 a22 ] [ SNR CSR ]
*>
*> [ b11 b12 ] := [ CSL SNL ] [ b11 b12 ] [ CSR -SNR ]
*> [ 0 b22 ] [ -SNL CSL ] [ 0 b22 ] [ SNR CSR ],
*>
*> 2) if the pencil (A,B) has a pair of complex conjugate eigenvalues,
*> then
*>
*> [ a11 a12 ] := [ CSL SNL ] [ a11 a12 ] [ CSR -SNR ]
*> [ a21 a22 ] [ -SNL CSL ] [ a21 a22 ] [ SNR CSR ]
*>
*> [ b11 0 ] := [ CSL SNL ] [ b11 b12 ] [ CSR -SNR ]
*> [ 0 b22 ] [ -SNL CSL ] [ 0 b22 ] [ SNR CSR ]
*>
*> where b11 >= b22 > 0.
*>
*>
*>\endverbatim
*
* Arguments
* =========
*
*> \param[in,out] A
*> \verbatim
*> A is REAL array, dimension (LDA, 2)
*> On entry, the 2 x 2 matrix A.
*> On exit, A is overwritten by the ``A-part'' of the
*> generalized Schur form.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*> LDA is INTEGER
*> THe leading dimension of the array A. LDA >= 2.
*> \endverbatim
*>
*> \param[in,out] B
*> \verbatim
*> B is REAL array, dimension (LDB, 2)
*> On entry, the upper triangular 2 x 2 matrix B.
*> On exit, B is overwritten by the ``B-part'' of the
*> generalized Schur form.
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*> LDB is INTEGER
*> THe leading dimension of the array B. LDB >= 2.
*> \endverbatim
*>
*> \param[out] ALPHAR
*> \verbatim
*> ALPHAR is REAL array, dimension (2)
*> \endverbatim
*>
*> \param[out] ALPHAI
*> \verbatim
*> ALPHAI is REAL array, dimension (2)
*> \endverbatim
*>
*> \param[out] BETA
*> \verbatim
*> BETA is REAL array, dimension (2)
*> (ALPHAR(k)+i*ALPHAI(k))/BETA(k) are the eigenvalues of the
*> pencil (A,B), k=1,2, i = sqrt(-1). Note that BETA(k) may
*> be zero.
*> \endverbatim
*>
*> \param[out] CSL
*> \verbatim
*> CSL is REAL
*> The cosine of the left rotation matrix.
*> \endverbatim
*>
*> \param[out] SNL
*> \verbatim
*> SNL is REAL
*> The sine of the left rotation matrix.
*> \endverbatim
*>
*> \param[out] CSR
*> \verbatim
*> CSR is REAL
*> The cosine of the right rotation matrix.
*> \endverbatim
*>
*> \param[out] SNR
*> \verbatim
*> SNR is REAL
*> The sine of the right rotation matrix.
*> \endverbatim
*>
*
* Authors
* =======
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \date November 2011
*
*> \ingroup realOTHERauxiliary
*
*
* Further Details
* ===============
*>\details \b Further \b Details
*> \verbatim
*>
*> Based on contributions by
*> Mark Fahey, Department of Mathematics, Univ. of Kentucky, USA
*>
*> \endverbatim
*>
* =====================================================================
SUBROUTINE SLAGV2( A, LDA, B, LDB, ALPHAR, ALPHAI, BETA, CSL, SNL,
$ CSR, SNR )
*
* -- LAPACK auxiliary routine (version 3.2.2) --
* -- LAPACK is a software package provided by Univ. of Tennessee, --
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
* November 2011
*
* .. Scalar Arguments ..
INTEGER LDA, LDB
REAL CSL, CSR, SNL, SNR
* ..
* .. Array Arguments ..
REAL A( LDA, * ), ALPHAI( 2 ), ALPHAR( 2 ),
$ B( LDB, * ), BETA( 2 )
* ..
*
* =====================================================================
*
* .. Parameters ..
REAL ZERO, ONE
PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
* ..
* .. Local Scalars ..
REAL ANORM, ASCALE, BNORM, BSCALE, H1, H2, H3, QQ,
$ R, RR, SAFMIN, SCALE1, SCALE2, T, ULP, WI, WR1,
$ WR2
* ..
* .. External Subroutines ..
EXTERNAL SLAG2, SLARTG, SLASV2, SROT
* ..
* .. External Functions ..
REAL SLAMCH, SLAPY2
EXTERNAL SLAMCH, SLAPY2
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, MAX
* ..
* .. Executable Statements ..
*
SAFMIN = SLAMCH( 'S' )
ULP = SLAMCH( 'P' )
*
* Scale A
*
ANORM = MAX( ABS( A( 1, 1 ) )+ABS( A( 2, 1 ) ),
$ ABS( A( 1, 2 ) )+ABS( A( 2, 2 ) ), SAFMIN )
ASCALE = ONE / ANORM
A( 1, 1 ) = ASCALE*A( 1, 1 )
A( 1, 2 ) = ASCALE*A( 1, 2 )
A( 2, 1 ) = ASCALE*A( 2, 1 )
A( 2, 2 ) = ASCALE*A( 2, 2 )
*
* Scale B
*
BNORM = MAX( ABS( B( 1, 1 ) ), ABS( B( 1, 2 ) )+ABS( B( 2, 2 ) ),
$ SAFMIN )
BSCALE = ONE / BNORM
B( 1, 1 ) = BSCALE*B( 1, 1 )
B( 1, 2 ) = BSCALE*B( 1, 2 )
B( 2, 2 ) = BSCALE*B( 2, 2 )
*
* Check if A can be deflated
*
IF( ABS( A( 2, 1 ) ).LE.ULP ) THEN
CSL = ONE
SNL = ZERO
CSR = ONE
SNR = ZERO
A( 2, 1 ) = ZERO
B( 2, 1 ) = ZERO
WI = ZERO
*
* Check if B is singular
*
ELSE IF( ABS( B( 1, 1 ) ).LE.ULP ) THEN
CALL SLARTG( A( 1, 1 ), A( 2, 1 ), CSL, SNL, R )
CSR = ONE
SNR = ZERO
CALL SROT( 2, A( 1, 1 ), LDA, A( 2, 1 ), LDA, CSL, SNL )
CALL SROT( 2, B( 1, 1 ), LDB, B( 2, 1 ), LDB, CSL, SNL )
A( 2, 1 ) = ZERO
B( 1, 1 ) = ZERO
B( 2, 1 ) = ZERO
WI = ZERO
*
ELSE IF( ABS( B( 2, 2 ) ).LE.ULP ) THEN
CALL SLARTG( A( 2, 2 ), A( 2, 1 ), CSR, SNR, T )
SNR = -SNR
CALL SROT( 2, A( 1, 1 ), 1, A( 1, 2 ), 1, CSR, SNR )
CALL SROT( 2, B( 1, 1 ), 1, B( 1, 2 ), 1, CSR, SNR )
CSL = ONE
SNL = ZERO
A( 2, 1 ) = ZERO
B( 2, 1 ) = ZERO
B( 2, 2 ) = ZERO
WI = ZERO
*
ELSE
*
* B is nonsingular, first compute the eigenvalues of (A,B)
*
CALL SLAG2( A, LDA, B, LDB, SAFMIN, SCALE1, SCALE2, WR1, WR2,
$ WI )
*
IF( WI.EQ.ZERO ) THEN
*
* two real eigenvalues, compute s*A-w*B
*
H1 = SCALE1*A( 1, 1 ) - WR1*B( 1, 1 )
H2 = SCALE1*A( 1, 2 ) - WR1*B( 1, 2 )
H3 = SCALE1*A( 2, 2 ) - WR1*B( 2, 2 )
*
RR = SLAPY2( H1, H2 )
QQ = SLAPY2( SCALE1*A( 2, 1 ), H3 )
*
IF( RR.GT.QQ ) THEN
*
* find right rotation matrix to zero 1,1 element of
* (sA - wB)
*
CALL SLARTG( H2, H1, CSR, SNR, T )
*
ELSE
*
* find right rotation matrix to zero 2,1 element of
* (sA - wB)
*
CALL SLARTG( H3, SCALE1*A( 2, 1 ), CSR, SNR, T )
*
END IF
*
SNR = -SNR
CALL SROT( 2, A( 1, 1 ), 1, A( 1, 2 ), 1, CSR, SNR )
CALL SROT( 2, B( 1, 1 ), 1, B( 1, 2 ), 1, CSR, SNR )
*
* compute inf norms of A and B
*
H1 = MAX( ABS( A( 1, 1 ) )+ABS( A( 1, 2 ) ),
$ ABS( A( 2, 1 ) )+ABS( A( 2, 2 ) ) )
H2 = MAX( ABS( B( 1, 1 ) )+ABS( B( 1, 2 ) ),
$ ABS( B( 2, 1 ) )+ABS( B( 2, 2 ) ) )
*
IF( ( SCALE1*H1 ).GE.ABS( WR1 )*H2 ) THEN
*
* find left rotation matrix Q to zero out B(2,1)
*
CALL SLARTG( B( 1, 1 ), B( 2, 1 ), CSL, SNL, R )
*
ELSE
*
* find left rotation matrix Q to zero out A(2,1)
*
CALL SLARTG( A( 1, 1 ), A( 2, 1 ), CSL, SNL, R )
*
END IF
*
CALL SROT( 2, A( 1, 1 ), LDA, A( 2, 1 ), LDA, CSL, SNL )
CALL SROT( 2, B( 1, 1 ), LDB, B( 2, 1 ), LDB, CSL, SNL )
*
A( 2, 1 ) = ZERO
B( 2, 1 ) = ZERO
*
ELSE
*
* a pair of complex conjugate eigenvalues
* first compute the SVD of the matrix B
*
CALL SLASV2( B( 1, 1 ), B( 1, 2 ), B( 2, 2 ), R, T, SNR,
$ CSR, SNL, CSL )
*
* Form (A,B) := Q(A,B)Z**T where Q is left rotation matrix and
* Z is right rotation matrix computed from SLASV2
*
CALL SROT( 2, A( 1, 1 ), LDA, A( 2, 1 ), LDA, CSL, SNL )
CALL SROT( 2, B( 1, 1 ), LDB, B( 2, 1 ), LDB, CSL, SNL )
CALL SROT( 2, A( 1, 1 ), 1, A( 1, 2 ), 1, CSR, SNR )
CALL SROT( 2, B( 1, 1 ), 1, B( 1, 2 ), 1, CSR, SNR )
*
B( 2, 1 ) = ZERO
B( 1, 2 ) = ZERO
*
END IF
*
END IF
*
* Unscaling
*
A( 1, 1 ) = ANORM*A( 1, 1 )
A( 2, 1 ) = ANORM*A( 2, 1 )
A( 1, 2 ) = ANORM*A( 1, 2 )
A( 2, 2 ) = ANORM*A( 2, 2 )
B( 1, 1 ) = BNORM*B( 1, 1 )
B( 2, 1 ) = BNORM*B( 2, 1 )
B( 1, 2 ) = BNORM*B( 1, 2 )
B( 2, 2 ) = BNORM*B( 2, 2 )
*
IF( WI.EQ.ZERO ) THEN
ALPHAR( 1 ) = A( 1, 1 )
ALPHAR( 2 ) = A( 2, 2 )
ALPHAI( 1 ) = ZERO
ALPHAI( 2 ) = ZERO
BETA( 1 ) = B( 1, 1 )
BETA( 2 ) = B( 2, 2 )
ELSE
ALPHAR( 1 ) = ANORM*WR1 / SCALE1 / BNORM
ALPHAI( 1 ) = ANORM*WI / SCALE1 / BNORM
ALPHAR( 2 ) = ALPHAR( 1 )
ALPHAI( 2 ) = -ALPHAI( 1 )
BETA( 1 ) = ONE
BETA( 2 ) = ONE
END IF
*
RETURN
*
* End of SLAGV2
*
END
|