LAPACK  3.8.0
LAPACK: Linear Algebra PACKage

◆ 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.
Date
December 2016

Definition at line 178 of file slatm6.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  REAL alpha, beta, wx, wy
187 * ..
188 * .. Array Arguments ..
189  REAL a( lda, * ), b( lda, * ), dif( * ), s( * ),
190  $ x( ldx, * ), y( ldy, * )
191 * ..
192 *
193 * =====================================================================
194 *
195 * .. Parameters ..
196  REAL zero, one, two, three
197  parameter( zero = 0.0e+0, one = 1.0e+0, two = 2.0e+0,
198  $ three = 3.0e+0 )
199 * ..
200 * .. Local Scalars ..
201  INTEGER i, info, j
202 * ..
203 * .. Local Arrays ..
204  REAL work( 100 ), z( 12, 12 )
205 * ..
206 * .. Intrinsic Functions ..
207  INTRINSIC REAL, sqrt
208 * ..
209 * .. External Subroutines ..
210  EXTERNAL sgesvd, slacpy, slakf2
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 ) = REAL( 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 slacpy( '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 slacpy( '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 slakf2( 1, 4, a, lda, a( 2, 2 ), b, b( 2, 2 ), z, 12 )
298  CALL sgesvd( '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 slakf2( 4, 1, a, lda, a( 5, 5 ), b, b( 5, 5 ), z, 12 )
303  CALL sgesvd( '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 slakf2( 2, 3, a, lda, a( 3, 3 ), b, b( 3, 3 ), z, 12 )
318  CALL sgesvd( '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 slakf2( 3, 2, a, lda, a( 4, 4 ), b, b( 4, 4 ), z, 12 )
323  CALL sgesvd( '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 SLATM6
332 *
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:213
subroutine slakf2(M, N, A, LDA, B, D, E, Z, LDZ)
SLAKF2
Definition: slakf2.f:107
subroutine slacpy(UPLO, M, N, A, LDA, B, LDB)
SLACPY copies all or part of one two-dimensional array to another.
Definition: slacpy.f:105
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