LAPACK  3.8.0
LAPACK: Linear Algebra PACKage

◆ dlatm6()

subroutine dlatm6 ( integer  TYPE,
integer  N,
double precision, dimension( lda, * )  A,
integer  LDA,
double precision, dimension( lda, * )  B,
double precision, dimension( ldx, * )  X,
integer  LDX,
double precision, dimension( ldy, * )  Y,
integer  LDY,
double precision  ALPHA,
double precision  BETA,
double precision  WX,
double precision  WY,
double precision, dimension( * )  S,
double precision, dimension( * )  DIF 
)

DLATM6

Purpose:
 DLATM6 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 DOUBLE PRECISION 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 DOUBLE PRECISION array, dimension (LDA, N).
          On exit B N-by-N is initialized according to TYPE.
[out]X
          X is DOUBLE PRECISION 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 DOUBLE PRECISION 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 DOUBLE PRECISION
[in]BETA
          BETA is DOUBLE PRECISION

          Weighting constants for matrix A.
[in]WX
          WX is DOUBLE PRECISION
          Constant for right eigenvector matrix.
[in]WY
          WY is DOUBLE PRECISION
          Constant for left eigenvector matrix.
[out]S
          S is DOUBLE PRECISION array, dimension (N)
          S(i) is the reciprocal condition number for eigenvalue i.
[out]DIF
          DIF is DOUBLE PRECISION 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.
Date
December 2016

Definition at line 178 of file dlatm6.f.

178 *
179 * -- LAPACK computational routine (version 3.7.0) --
180 * -- LAPACK is a software package provided by Univ. of Tennessee, --
181 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
182 * December 2016
183 *
184 * .. Scalar Arguments ..
185  INTEGER lda, ldx, ldy, n, type
186  DOUBLE PRECISION alpha, beta, wx, wy
187 * ..
188 * .. Array Arguments ..
189  DOUBLE PRECISION a( lda, * ), b( lda, * ), dif( * ), s( * ),
190  $ x( ldx, * ), y( ldy, * )
191 * ..
192 *
193 * =====================================================================
194 *
195 * .. Parameters ..
196  DOUBLE PRECISION zero, one, two, three
197  parameter( zero = 0.0d+0, one = 1.0d+0, two = 2.0d+0,
198  $ three = 3.0d+0 )
199 * ..
200 * .. Local Scalars ..
201  INTEGER i, info, j
202 * ..
203 * .. Local Arrays ..
204  DOUBLE PRECISION work( 100 ), z( 12, 12 )
205 * ..
206 * .. Intrinsic Functions ..
207  INTRINSIC dble, sqrt
208 * ..
209 * .. External Subroutines ..
210  EXTERNAL dgesvd, dlacpy, dlakf2
211 * ..
212 * .. Executable Statements ..
213 *
214 * Generate test problem ...
215 * (Da, Db) ...
216 *
217  DO 20 i = 1, n
218  DO 10 j = 1, n
219 *
220  IF( i.EQ.j ) THEN
221  a( i, i ) = dble( i ) + alpha
222  b( i, i ) = one
223  ELSE
224  a( i, j ) = zero
225  b( i, j ) = zero
226  END IF
227 *
228  10 CONTINUE
229  20 CONTINUE
230 *
231 * Form X and Y
232 *
233  CALL dlacpy( 'F', n, n, b, lda, y, ldy )
234  y( 3, 1 ) = -wy
235  y( 4, 1 ) = wy
236  y( 5, 1 ) = -wy
237  y( 3, 2 ) = -wy
238  y( 4, 2 ) = wy
239  y( 5, 2 ) = -wy
240 *
241  CALL dlacpy( 'F', n, n, b, lda, x, ldx )
242  x( 1, 3 ) = -wx
243  x( 1, 4 ) = -wx
244  x( 1, 5 ) = wx
245  x( 2, 3 ) = wx
246  x( 2, 4 ) = -wx
247  x( 2, 5 ) = -wx
248 *
249 * Form (A, B)
250 *
251  b( 1, 3 ) = wx + wy
252  b( 2, 3 ) = -wx + wy
253  b( 1, 4 ) = wx - wy
254  b( 2, 4 ) = wx - wy
255  b( 1, 5 ) = -wx + wy
256  b( 2, 5 ) = wx + wy
257  IF( type.EQ.1 ) THEN
258  a( 1, 3 ) = wx*a( 1, 1 ) + wy*a( 3, 3 )
259  a( 2, 3 ) = -wx*a( 2, 2 ) + wy*a( 3, 3 )
260  a( 1, 4 ) = wx*a( 1, 1 ) - wy*a( 4, 4 )
261  a( 2, 4 ) = wx*a( 2, 2 ) - wy*a( 4, 4 )
262  a( 1, 5 ) = -wx*a( 1, 1 ) + wy*a( 5, 5 )
263  a( 2, 5 ) = wx*a( 2, 2 ) + wy*a( 5, 5 )
264  ELSE IF( type.EQ.2 ) THEN
265  a( 1, 3 ) = two*wx + wy
266  a( 2, 3 ) = wy
267  a( 1, 4 ) = -wy*( two+alpha+beta )
268  a( 2, 4 ) = two*wx - wy*( two+alpha+beta )
269  a( 1, 5 ) = -two*wx + wy*( alpha-beta )
270  a( 2, 5 ) = wy*( alpha-beta )
271  a( 1, 1 ) = one
272  a( 1, 2 ) = -one
273  a( 2, 1 ) = one
274  a( 2, 2 ) = a( 1, 1 )
275  a( 3, 3 ) = one
276  a( 4, 4 ) = one + alpha
277  a( 4, 5 ) = one + beta
278  a( 5, 4 ) = -a( 4, 5 )
279  a( 5, 5 ) = a( 4, 4 )
280  END IF
281 *
282 * Compute condition numbers
283 *
284  IF( type.EQ.1 ) THEN
285 *
286  s( 1 ) = one / sqrt( ( one+three*wy*wy ) /
287  $ ( one+a( 1, 1 )*a( 1, 1 ) ) )
288  s( 2 ) = one / sqrt( ( one+three*wy*wy ) /
289  $ ( one+a( 2, 2 )*a( 2, 2 ) ) )
290  s( 3 ) = one / sqrt( ( one+two*wx*wx ) /
291  $ ( one+a( 3, 3 )*a( 3, 3 ) ) )
292  s( 4 ) = one / sqrt( ( one+two*wx*wx ) /
293  $ ( one+a( 4, 4 )*a( 4, 4 ) ) )
294  s( 5 ) = one / sqrt( ( one+two*wx*wx ) /
295  $ ( one+a( 5, 5 )*a( 5, 5 ) ) )
296 *
297  CALL dlakf2( 1, 4, a, lda, a( 2, 2 ), b, b( 2, 2 ), z, 12 )
298  CALL dgesvd( 'N', 'N', 8, 8, z, 12, work, work( 9 ), 1,
299  $ work( 10 ), 1, work( 11 ), 40, info )
300  dif( 1 ) = work( 8 )
301 *
302  CALL dlakf2( 4, 1, a, lda, a( 5, 5 ), b, b( 5, 5 ), z, 12 )
303  CALL dgesvd( 'N', 'N', 8, 8, z, 12, work, work( 9 ), 1,
304  $ work( 10 ), 1, work( 11 ), 40, info )
305  dif( 5 ) = work( 8 )
306 *
307  ELSE IF( type.EQ.2 ) THEN
308 *
309  s( 1 ) = one / sqrt( one / three+wy*wy )
310  s( 2 ) = s( 1 )
311  s( 3 ) = one / sqrt( one / two+wx*wx )
312  s( 4 ) = one / sqrt( ( one+two*wx*wx ) /
313  $ ( one+( one+alpha )*( one+alpha )+( one+beta )*( one+
314  $ beta ) ) )
315  s( 5 ) = s( 4 )
316 *
317  CALL dlakf2( 2, 3, a, lda, a( 3, 3 ), b, b( 3, 3 ), z, 12 )
318  CALL dgesvd( 'N', 'N', 12, 12, z, 12, work, work( 13 ), 1,
319  $ work( 14 ), 1, work( 15 ), 60, info )
320  dif( 1 ) = work( 12 )
321 *
322  CALL dlakf2( 3, 2, a, lda, a( 4, 4 ), b, b( 4, 4 ), z, 12 )
323  CALL dgesvd( 'N', 'N', 12, 12, z, 12, work, work( 13 ), 1,
324  $ work( 14 ), 1, work( 15 ), 60, info )
325  dif( 5 ) = work( 12 )
326 *
327  END IF
328 *
329  RETURN
330 *
331 * End of DLATM6
332 *
subroutine dlacpy(UPLO, M, N, A, LDA, B, LDB)
DLACPY copies all or part of one two-dimensional array to another.
Definition: dlacpy.f:105
subroutine dgesvd(JOBU, JOBVT, M, N, A, LDA, S, U, LDU, VT, LDVT, WORK, LWORK, INFO)
DGESVD computes the singular value decomposition (SVD) for GE matrices
Definition: dgesvd.f:213
subroutine dlakf2(M, N, A, LDA, B, D, E, Z, LDZ)
DLAKF2
Definition: dlakf2.f:107
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