LAPACK 3.11.0
LAPACK: Linear Algebra PACKage
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◆ slatm6()

subroutine slatm6 ( integer  TYPE,
integer  N,
real, dimension( lda, * )  A,
integer  LDA,
real, dimension( lda, * )  B,
real, dimension( ldx, * )  X,
integer  LDX,
real, dimension( ldy, * )  Y,
integer  LDY,
real  ALPHA,
real  BETA,
real  WX,
real  WY,
real, dimension( * )  S,
real, dimension( * )  DIF 
)

SLATM6

Purpose:
 SLATM6 generates test matrices for the generalized eigenvalue
 problem, their corresponding right and left eigenvector matrices,
 and also reciprocal condition numbers for all eigenvalues and
 the reciprocal condition numbers of eigenvectors corresponding to
 the 1th and 5th eigenvalues.

 Test Matrices
 =============

 Two kinds of test matrix pairs

       (A, B) = inverse(YH) * (Da, Db) * inverse(X)

 are used in the tests:

 Type 1:
    Da = 1+a   0    0    0    0    Db = 1   0   0   0   0
          0   2+a   0    0    0         0   1   0   0   0
          0    0   3+a   0    0         0   0   1   0   0
          0    0    0   4+a   0         0   0   0   1   0
          0    0    0    0   5+a ,      0   0   0   0   1 , and

 Type 2:
    Da =  1   -1    0    0    0    Db = 1   0   0   0   0
          1    1    0    0    0         0   1   0   0   0
          0    0    1    0    0         0   0   1   0   0
          0    0    0   1+a  1+b        0   0   0   1   0
          0    0    0  -1-b  1+a ,      0   0   0   0   1 .

 In both cases the same inverse(YH) and inverse(X) are used to compute
 (A, B), giving the exact eigenvectors to (A,B) as (YH, X):

 YH:  =  1    0   -y    y   -y    X =  1   0  -x  -x   x
         0    1   -y    y   -y         0   1   x  -x  -x
         0    0    1    0    0         0   0   1   0   0
         0    0    0    1    0         0   0   0   1   0
         0    0    0    0    1,        0   0   0   0   1 ,

 where a, b, x and y will have all values independently of each other.
Parameters
[in]TYPE
          TYPE is INTEGER
          Specifies the problem type (see further details).
[in]N
          N is INTEGER
          Size of the matrices A and B.
[out]A
          A is REAL array, dimension (LDA, N).
          On exit A N-by-N is initialized according to TYPE.
[in]LDA
          LDA is INTEGER
          The leading dimension of A and of B.
[out]B
          B is REAL array, dimension (LDA, N).
          On exit B N-by-N is initialized according to TYPE.
[out]X
          X is REAL array, dimension (LDX, N).
          On exit X is the N-by-N matrix of right eigenvectors.
[in]LDX
          LDX is INTEGER
          The leading dimension of X.
[out]Y
          Y is REAL array, dimension (LDY, N).
          On exit Y is the N-by-N matrix of left eigenvectors.
[in]LDY
          LDY is INTEGER
          The leading dimension of Y.
[in]ALPHA
          ALPHA is REAL
[in]BETA
          BETA is REAL

          Weighting constants for matrix A.
[in]WX
          WX is REAL
          Constant for right eigenvector matrix.
[in]WY
          WY is REAL
          Constant for left eigenvector matrix.
[out]S
          S is REAL array, dimension (N)
          S(i) is the reciprocal condition number for eigenvalue i.
[out]DIF
          DIF is REAL array, dimension (N)
          DIF(i) is the reciprocal condition number for eigenvector i.
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.

Definition at line 174 of file slatm6.f.

176*
177* -- LAPACK computational routine --
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 LDA, LDX, LDY, N, TYPE
183 REAL ALPHA, BETA, WX, WY
184* ..
185* .. Array Arguments ..
186 REAL A( LDA, * ), B( LDA, * ), DIF( * ), S( * ),
187 $ X( LDX, * ), Y( LDY, * )
188* ..
189*
190* =====================================================================
191*
192* .. Parameters ..
193 REAL ZERO, ONE, TWO, THREE
194 parameter( zero = 0.0e+0, one = 1.0e+0, two = 2.0e+0,
195 $ three = 3.0e+0 )
196* ..
197* .. Local Scalars ..
198 INTEGER I, INFO, J
199* ..
200* .. Local Arrays ..
201 REAL WORK( 100 ), Z( 12, 12 )
202* ..
203* .. Intrinsic Functions ..
204 INTRINSIC real, sqrt
205* ..
206* .. External Subroutines ..
207 EXTERNAL sgesvd, slacpy, slakf2
208* ..
209* .. Executable Statements ..
210*
211* Generate test problem ...
212* (Da, Db) ...
213*
214 DO 20 i = 1, n
215 DO 10 j = 1, n
216*
217 IF( i.EQ.j ) THEN
218 a( i, i ) = real( i ) + alpha
219 b( i, i ) = one
220 ELSE
221 a( i, j ) = zero
222 b( i, j ) = zero
223 END IF
224*
225 10 CONTINUE
226 20 CONTINUE
227*
228* Form X and Y
229*
230 CALL slacpy( 'F', n, n, b, lda, y, ldy )
231 y( 3, 1 ) = -wy
232 y( 4, 1 ) = wy
233 y( 5, 1 ) = -wy
234 y( 3, 2 ) = -wy
235 y( 4, 2 ) = wy
236 y( 5, 2 ) = -wy
237*
238 CALL slacpy( 'F', n, n, b, lda, x, ldx )
239 x( 1, 3 ) = -wx
240 x( 1, 4 ) = -wx
241 x( 1, 5 ) = wx
242 x( 2, 3 ) = wx
243 x( 2, 4 ) = -wx
244 x( 2, 5 ) = -wx
245*
246* Form (A, B)
247*
248 b( 1, 3 ) = wx + wy
249 b( 2, 3 ) = -wx + wy
250 b( 1, 4 ) = wx - wy
251 b( 2, 4 ) = wx - wy
252 b( 1, 5 ) = -wx + wy
253 b( 2, 5 ) = wx + wy
254 IF( type.EQ.1 ) THEN
255 a( 1, 3 ) = wx*a( 1, 1 ) + wy*a( 3, 3 )
256 a( 2, 3 ) = -wx*a( 2, 2 ) + wy*a( 3, 3 )
257 a( 1, 4 ) = wx*a( 1, 1 ) - wy*a( 4, 4 )
258 a( 2, 4 ) = wx*a( 2, 2 ) - wy*a( 4, 4 )
259 a( 1, 5 ) = -wx*a( 1, 1 ) + wy*a( 5, 5 )
260 a( 2, 5 ) = wx*a( 2, 2 ) + wy*a( 5, 5 )
261 ELSE IF( type.EQ.2 ) THEN
262 a( 1, 3 ) = two*wx + wy
263 a( 2, 3 ) = wy
264 a( 1, 4 ) = -wy*( two+alpha+beta )
265 a( 2, 4 ) = two*wx - wy*( two+alpha+beta )
266 a( 1, 5 ) = -two*wx + wy*( alpha-beta )
267 a( 2, 5 ) = wy*( alpha-beta )
268 a( 1, 1 ) = one
269 a( 1, 2 ) = -one
270 a( 2, 1 ) = one
271 a( 2, 2 ) = a( 1, 1 )
272 a( 3, 3 ) = one
273 a( 4, 4 ) = one + alpha
274 a( 4, 5 ) = one + beta
275 a( 5, 4 ) = -a( 4, 5 )
276 a( 5, 5 ) = a( 4, 4 )
277 END IF
278*
279* Compute condition numbers
280*
281 IF( type.EQ.1 ) THEN
282*
283 s( 1 ) = one / sqrt( ( one+three*wy*wy ) /
284 $ ( one+a( 1, 1 )*a( 1, 1 ) ) )
285 s( 2 ) = one / sqrt( ( one+three*wy*wy ) /
286 $ ( one+a( 2, 2 )*a( 2, 2 ) ) )
287 s( 3 ) = one / sqrt( ( one+two*wx*wx ) /
288 $ ( one+a( 3, 3 )*a( 3, 3 ) ) )
289 s( 4 ) = one / sqrt( ( one+two*wx*wx ) /
290 $ ( one+a( 4, 4 )*a( 4, 4 ) ) )
291 s( 5 ) = one / sqrt( ( one+two*wx*wx ) /
292 $ ( one+a( 5, 5 )*a( 5, 5 ) ) )
293*
294 CALL slakf2( 1, 4, a, lda, a( 2, 2 ), b, b( 2, 2 ), z, 12 )
295 CALL sgesvd( 'N', 'N', 8, 8, z, 12, work, work( 9 ), 1,
296 $ work( 10 ), 1, work( 11 ), 40, info )
297 dif( 1 ) = work( 8 )
298*
299 CALL slakf2( 4, 1, a, lda, a( 5, 5 ), b, b( 5, 5 ), z, 12 )
300 CALL sgesvd( 'N', 'N', 8, 8, z, 12, work, work( 9 ), 1,
301 $ work( 10 ), 1, work( 11 ), 40, info )
302 dif( 5 ) = work( 8 )
303*
304 ELSE IF( type.EQ.2 ) THEN
305*
306 s( 1 ) = one / sqrt( one / three+wy*wy )
307 s( 2 ) = s( 1 )
308 s( 3 ) = one / sqrt( one / two+wx*wx )
309 s( 4 ) = one / sqrt( ( one+two*wx*wx ) /
310 $ ( one+( one+alpha )*( one+alpha )+( one+beta )*( one+
311 $ beta ) ) )
312 s( 5 ) = s( 4 )
313*
314 CALL slakf2( 2, 3, a, lda, a( 3, 3 ), b, b( 3, 3 ), z, 12 )
315 CALL sgesvd( 'N', 'N', 12, 12, z, 12, work, work( 13 ), 1,
316 $ work( 14 ), 1, work( 15 ), 60, info )
317 dif( 1 ) = work( 12 )
318*
319 CALL slakf2( 3, 2, a, lda, a( 4, 4 ), b, b( 4, 4 ), z, 12 )
320 CALL sgesvd( 'N', 'N', 12, 12, z, 12, work, work( 13 ), 1,
321 $ work( 14 ), 1, work( 15 ), 60, info )
322 dif( 5 ) = work( 12 )
323*
324 END IF
325*
326 RETURN
327*
328* End of SLATM6
329*
subroutine slacpy(UPLO, M, N, A, LDA, B, LDB)
SLACPY copies all or part of one two-dimensional array to another.
Definition: slacpy.f:103
subroutine slakf2(M, N, A, LDA, B, D, E, Z, LDZ)
SLAKF2
Definition: slakf2.f:105
subroutine sgesvd(JOBU, JOBVT, M, N, A, LDA, S, U, LDU, VT, LDVT, WORK, LWORK, INFO)
SGESVD computes the singular value decomposition (SVD) for GE matrices
Definition: sgesvd.f:211
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