LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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◆ slaed0()

subroutine slaed0 ( integer  icompq,
integer  qsiz,
integer  n,
real, dimension( * )  d,
real, dimension( * )  e,
real, dimension( ldq, * )  q,
integer  ldq,
real, dimension( ldqs, * )  qstore,
integer  ldqs,
real, dimension( * )  work,
integer, dimension( * )  iwork,
integer  info 
)

SLAED0 used by SSTEDC. Computes all eigenvalues and corresponding eigenvectors of an unreduced symmetric tridiagonal matrix using the divide and conquer method.

Download SLAED0 + dependencies [TGZ] [ZIP] [TXT]

Purpose:
 SLAED0 computes all eigenvalues and corresponding eigenvectors of a
 symmetric tridiagonal matrix using the divide and conquer method.
Parameters
[in]ICOMPQ
          ICOMPQ is INTEGER
          = 0:  Compute eigenvalues only.
          = 1:  Compute eigenvectors of original dense symmetric matrix
                also.  On entry, Q contains the orthogonal matrix used
                to reduce the original matrix to tridiagonal form.
          = 2:  Compute eigenvalues and eigenvectors of tridiagonal
                matrix.
[in]QSIZ
          QSIZ is INTEGER
         The dimension of the orthogonal matrix used to reduce
         the full matrix to tridiagonal form.  QSIZ >= N if ICOMPQ = 1.
[in]N
          N is INTEGER
         The dimension of the symmetric tridiagonal matrix.  N >= 0.
[in,out]D
          D is REAL array, dimension (N)
         On entry, the main diagonal of the tridiagonal matrix.
         On exit, its eigenvalues.
[in]E
          E is REAL array, dimension (N-1)
         The off-diagonal elements of the tridiagonal matrix.
         On exit, E has been destroyed.
[in,out]Q
          Q is REAL array, dimension (LDQ, N)
         On entry, Q must contain an N-by-N orthogonal matrix.
         If ICOMPQ = 0    Q is not referenced.
         If ICOMPQ = 1    On entry, Q is a subset of the columns of the
                          orthogonal matrix used to reduce the full
                          matrix to tridiagonal form corresponding to
                          the subset of the full matrix which is being
                          decomposed at this time.
         If ICOMPQ = 2    On entry, Q will be the identity matrix.
                          On exit, Q contains the eigenvectors of the
                          tridiagonal matrix.
[in]LDQ
          LDQ is INTEGER
         The leading dimension of the array Q.  If eigenvectors are
         desired, then  LDQ >= max(1,N).  In any case,  LDQ >= 1.
[out]QSTORE
          QSTORE is REAL array, dimension (LDQS, N)
         Referenced only when ICOMPQ = 1.  Used to store parts of
         the eigenvector matrix when the updating matrix multiplies
         take place.
[in]LDQS
          LDQS is INTEGER
         The leading dimension of the array QSTORE.  If ICOMPQ = 1,
         then  LDQS >= max(1,N).  In any case,  LDQS >= 1.
[out]WORK
          WORK is REAL array,
         If ICOMPQ = 0 or 1, the dimension of WORK must be at least
                     1 + 3*N + 2*N*lg N + 3*N**2
                     ( lg( N ) = smallest integer k
                                 such that 2^k >= N )
         If ICOMPQ = 2, the dimension of WORK must be at least
                     4*N + N**2.
[out]IWORK
          IWORK is INTEGER array,
         If ICOMPQ = 0 or 1, the dimension of IWORK must be at least
                        6 + 6*N + 5*N*lg N.
                        ( lg( N ) = smallest integer k
                                    such that 2^k >= N )
         If ICOMPQ = 2, the dimension of IWORK must be at least
                        3 + 5*N.
[out]INFO
          INFO is INTEGER
          = 0:  successful exit.
          < 0:  if INFO = -i, the i-th argument had an illegal value.
          > 0:  The algorithm failed to compute an eigenvalue while
                working on the submatrix lying in rows and columns
                INFO/(N+1) through mod(INFO,N+1).
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Contributors:
Jeff Rutter, Computer Science Division, University of California at Berkeley, USA

Definition at line 170 of file slaed0.f.

172*
173* -- LAPACK computational routine --
174* -- LAPACK is a software package provided by Univ. of Tennessee, --
175* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
176*
177* .. Scalar Arguments ..
178 INTEGER ICOMPQ, INFO, LDQ, LDQS, N, QSIZ
179* ..
180* .. Array Arguments ..
181 INTEGER IWORK( * )
182 REAL D( * ), E( * ), Q( LDQ, * ), QSTORE( LDQS, * ),
183 $ WORK( * )
184* ..
185*
186* =====================================================================
187*
188* .. Parameters ..
189 REAL ZERO, ONE, TWO
190 parameter( zero = 0.e0, one = 1.e0, two = 2.e0 )
191* ..
192* .. Local Scalars ..
193 INTEGER CURLVL, CURPRB, CURR, I, IGIVCL, IGIVNM,
194 $ IGIVPT, INDXQ, IPERM, IPRMPT, IQ, IQPTR, IWREM,
195 $ J, K, LGN, MATSIZ, MSD2, SMLSIZ, SMM1, SPM1,
196 $ SPM2, SUBMAT, SUBPBS, TLVLS
197 REAL TEMP
198* ..
199* .. External Subroutines ..
200 EXTERNAL scopy, sgemm, slacpy, slaed1, slaed7, ssteqr,
201 $ xerbla
202* ..
203* .. External Functions ..
204 INTEGER ILAENV
205 EXTERNAL ilaenv
206* ..
207* .. Intrinsic Functions ..
208 INTRINSIC abs, int, log, max, real
209* ..
210* .. Executable Statements ..
211*
212* Test the input parameters.
213*
214 info = 0
215*
216 IF( icompq.LT.0 .OR. icompq.GT.2 ) THEN
217 info = -1
218 ELSE IF( ( icompq.EQ.1 ) .AND. ( qsiz.LT.max( 0, n ) ) ) THEN
219 info = -2
220 ELSE IF( n.LT.0 ) THEN
221 info = -3
222 ELSE IF( ldq.LT.max( 1, n ) ) THEN
223 info = -7
224 ELSE IF( ldqs.LT.max( 1, n ) ) THEN
225 info = -9
226 END IF
227 IF( info.NE.0 ) THEN
228 CALL xerbla( 'SLAED0', -info )
229 RETURN
230 END IF
231*
232* Quick return if possible
233*
234 IF( n.EQ.0 )
235 $ RETURN
236*
237 smlsiz = ilaenv( 9, 'SLAED0', ' ', 0, 0, 0, 0 )
238*
239* Determine the size and placement of the submatrices, and save in
240* the leading elements of IWORK.
241*
242 iwork( 1 ) = n
243 subpbs = 1
244 tlvls = 0
245 10 CONTINUE
246 IF( iwork( subpbs ).GT.smlsiz ) THEN
247 DO 20 j = subpbs, 1, -1
248 iwork( 2*j ) = ( iwork( j )+1 ) / 2
249 iwork( 2*j-1 ) = iwork( j ) / 2
250 20 CONTINUE
251 tlvls = tlvls + 1
252 subpbs = 2*subpbs
253 GO TO 10
254 END IF
255 DO 30 j = 2, subpbs
256 iwork( j ) = iwork( j ) + iwork( j-1 )
257 30 CONTINUE
258*
259* Divide the matrix into SUBPBS submatrices of size at most SMLSIZ+1
260* using rank-1 modifications (cuts).
261*
262 spm1 = subpbs - 1
263 DO 40 i = 1, spm1
264 submat = iwork( i ) + 1
265 smm1 = submat - 1
266 d( smm1 ) = d( smm1 ) - abs( e( smm1 ) )
267 d( submat ) = d( submat ) - abs( e( smm1 ) )
268 40 CONTINUE
269*
270 indxq = 4*n + 3
271 IF( icompq.NE.2 ) THEN
272*
273* Set up workspaces for eigenvalues only/accumulate new vectors
274* routine
275*
276 temp = log( real( n ) ) / log( two )
277 lgn = int( temp )
278 IF( 2**lgn.LT.n )
279 $ lgn = lgn + 1
280 IF( 2**lgn.LT.n )
281 $ lgn = lgn + 1
282 iprmpt = indxq + n + 1
283 iperm = iprmpt + n*lgn
284 iqptr = iperm + n*lgn
285 igivpt = iqptr + n + 2
286 igivcl = igivpt + n*lgn
287*
288 igivnm = 1
289 iq = igivnm + 2*n*lgn
290 iwrem = iq + n**2 + 1
291*
292* Initialize pointers
293*
294 DO 50 i = 0, subpbs
295 iwork( iprmpt+i ) = 1
296 iwork( igivpt+i ) = 1
297 50 CONTINUE
298 iwork( iqptr ) = 1
299 END IF
300*
301* Solve each submatrix eigenproblem at the bottom of the divide and
302* conquer tree.
303*
304 curr = 0
305 DO 70 i = 0, spm1
306 IF( i.EQ.0 ) THEN
307 submat = 1
308 matsiz = iwork( 1 )
309 ELSE
310 submat = iwork( i ) + 1
311 matsiz = iwork( i+1 ) - iwork( i )
312 END IF
313 IF( icompq.EQ.2 ) THEN
314 CALL ssteqr( 'I', matsiz, d( submat ), e( submat ),
315 $ q( submat, submat ), ldq, work, info )
316 IF( info.NE.0 )
317 $ GO TO 130
318 ELSE
319 CALL ssteqr( 'I', matsiz, d( submat ), e( submat ),
320 $ work( iq-1+iwork( iqptr+curr ) ), matsiz, work,
321 $ info )
322 IF( info.NE.0 )
323 $ GO TO 130
324 IF( icompq.EQ.1 ) THEN
325 CALL sgemm( 'N', 'N', qsiz, matsiz, matsiz, one,
326 $ q( 1, submat ), ldq, work( iq-1+iwork( iqptr+
327 $ curr ) ), matsiz, zero, qstore( 1, submat ),
328 $ ldqs )
329 END IF
330 iwork( iqptr+curr+1 ) = iwork( iqptr+curr ) + matsiz**2
331 curr = curr + 1
332 END IF
333 k = 1
334 DO 60 j = submat, iwork( i+1 )
335 iwork( indxq+j ) = k
336 k = k + 1
337 60 CONTINUE
338 70 CONTINUE
339*
340* Successively merge eigensystems of adjacent submatrices
341* into eigensystem for the corresponding larger matrix.
342*
343* while ( SUBPBS > 1 )
344*
345 curlvl = 1
346 80 CONTINUE
347 IF( subpbs.GT.1 ) THEN
348 spm2 = subpbs - 2
349 DO 90 i = 0, spm2, 2
350 IF( i.EQ.0 ) THEN
351 submat = 1
352 matsiz = iwork( 2 )
353 msd2 = iwork( 1 )
354 curprb = 0
355 ELSE
356 submat = iwork( i ) + 1
357 matsiz = iwork( i+2 ) - iwork( i )
358 msd2 = matsiz / 2
359 curprb = curprb + 1
360 END IF
361*
362* Merge lower order eigensystems (of size MSD2 and MATSIZ - MSD2)
363* into an eigensystem of size MATSIZ.
364* SLAED1 is used only for the full eigensystem of a tridiagonal
365* matrix.
366* SLAED7 handles the cases in which eigenvalues only or eigenvalues
367* and eigenvectors of a full symmetric matrix (which was reduced to
368* tridiagonal form) are desired.
369*
370 IF( icompq.EQ.2 ) THEN
371 CALL slaed1( matsiz, d( submat ), q( submat, submat ),
372 $ ldq, iwork( indxq+submat ),
373 $ e( submat+msd2-1 ), msd2, work,
374 $ iwork( subpbs+1 ), info )
375 ELSE
376 CALL slaed7( icompq, matsiz, qsiz, tlvls, curlvl, curprb,
377 $ d( submat ), qstore( 1, submat ), ldqs,
378 $ iwork( indxq+submat ), e( submat+msd2-1 ),
379 $ msd2, work( iq ), iwork( iqptr ),
380 $ iwork( iprmpt ), iwork( iperm ),
381 $ iwork( igivpt ), iwork( igivcl ),
382 $ work( igivnm ), work( iwrem ),
383 $ iwork( subpbs+1 ), info )
384 END IF
385 IF( info.NE.0 )
386 $ GO TO 130
387 iwork( i / 2+1 ) = iwork( i+2 )
388 90 CONTINUE
389 subpbs = subpbs / 2
390 curlvl = curlvl + 1
391 GO TO 80
392 END IF
393*
394* end while
395*
396* Re-merge the eigenvalues/vectors which were deflated at the final
397* merge step.
398*
399 IF( icompq.EQ.1 ) THEN
400 DO 100 i = 1, n
401 j = iwork( indxq+i )
402 work( i ) = d( j )
403 CALL scopy( qsiz, qstore( 1, j ), 1, q( 1, i ), 1 )
404 100 CONTINUE
405 CALL scopy( n, work, 1, d, 1 )
406 ELSE IF( icompq.EQ.2 ) THEN
407 DO 110 i = 1, n
408 j = iwork( indxq+i )
409 work( i ) = d( j )
410 CALL scopy( n, q( 1, j ), 1, work( n*i+1 ), 1 )
411 110 CONTINUE
412 CALL scopy( n, work, 1, d, 1 )
413 CALL slacpy( 'A', n, n, work( n+1 ), n, q, ldq )
414 ELSE
415 DO 120 i = 1, n
416 j = iwork( indxq+i )
417 work( i ) = d( j )
418 120 CONTINUE
419 CALL scopy( n, work, 1, d, 1 )
420 END IF
421 GO TO 140
422*
423 130 CONTINUE
424 info = submat*( n+1 ) + submat + matsiz - 1
425*
426 140 CONTINUE
427 RETURN
428*
429* End of SLAED0
430*
xerbla
subroutine xerbla(srname, info)
Definition cblat2.f:3285
scopy
subroutine scopy(n, sx, incx, sy, incy)
SCOPY
Definition scopy.f:82
sgemm
subroutine sgemm(transa, transb, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc)
SGEMM
Definition sgemm.f:188
ilaenv
integer function ilaenv(ispec, name, opts, n1, n2, n3, n4)
ILAENV
Definition ilaenv.f:162
slacpy
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
slaed1
subroutine slaed1(n, d, q, ldq, indxq, rho, cutpnt, work, iwork, info)
SLAED1 used by SSTEDC. Computes the updated eigensystem of a diagonal matrix after modification by a ...
Definition slaed1.f:163
slaed7
subroutine slaed7(icompq, n, qsiz, tlvls, curlvl, curpbm, d, q, ldq, indxq, rho, cutpnt, qstore, qptr, prmptr, perm, givptr, givcol, givnum, work, iwork, info)
SLAED7 used by SSTEDC. Computes the updated eigensystem of a diagonal matrix after modification by a ...
Definition slaed7.f:260
ssteqr
subroutine ssteqr(compz, n, d, e, z, ldz, work, info)
SSTEQR
Definition ssteqr.f:131
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