LAPACK  3.6.1
LAPACK: Linear Algebra PACKage
subroutine dsprfs ( character  UPLO,
integer  N,
integer  NRHS,
double precision, dimension( * )  AP,
double precision, dimension( * )  AFP,
integer, dimension( * )  IPIV,
double precision, dimension( ldb, * )  B,
integer  LDB,
double precision, dimension( ldx, * )  X,
integer  LDX,
double precision, dimension( * )  FERR,
double precision, dimension( * )  BERR,
double precision, dimension( * )  WORK,
integer, dimension( * )  IWORK,
integer  INFO 
)

DSPRFS

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Purpose: 
 DSPRFS improves the computed solution to a system of linear
 equations when the coefficient matrix is symmetric indefinite
 and packed, and provides error bounds and backward error estimates
 for the solution.
Parameters
[in]UPLO
          UPLO is CHARACTER*1
          = 'U':  Upper triangle of A is stored;
          = 'L':  Lower triangle of A is stored.
[in]N
          N is INTEGER
          The order of the matrix A.  N >= 0.
[in]NRHS
          NRHS is INTEGER
          The number of right hand sides, i.e., the number of columns
          of the matrices B and X.  NRHS >= 0.
[in]AP
          AP is DOUBLE PRECISION array, dimension (N*(N+1)/2)
          The upper or lower triangle of the symmetric matrix A, packed
          columnwise in a linear array.  The j-th column of A is stored
          in the array AP as follows:
          if UPLO = 'U', AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j;
          if UPLO = 'L', AP(i + (j-1)*(2*n-j)/2) = A(i,j) for j<=i<=n.
[in]AFP
          AFP is DOUBLE PRECISION array, dimension (N*(N+1)/2)
          The factored form of the matrix A.  AFP contains the block
          diagonal matrix D and the multipliers used to obtain the
          factor U or L from the factorization A = U*D*U**T or
          A = L*D*L**T as computed by DSPTRF, stored as a packed
          triangular matrix.
[in]IPIV
          IPIV is INTEGER array, dimension (N)
          Details of the interchanges and the block structure of D
          as determined by DSPTRF.
[in]B
          B is DOUBLE PRECISION array, dimension (LDB,NRHS)
          The right hand side matrix B.
[in]LDB
          LDB is INTEGER
          The leading dimension of the array B.  LDB >= max(1,N).
[in,out]X
          X is DOUBLE PRECISION array, dimension (LDX,NRHS)
          On entry, the solution matrix X, as computed by DSPTRS.
          On exit, the improved solution matrix X.
[in]LDX
          LDX is INTEGER
          The leading dimension of the array X.  LDX >= max(1,N).
[out]FERR
          FERR is DOUBLE PRECISION array, dimension (NRHS)
          The estimated forward error bound for each solution vector
          X(j) (the j-th column of the solution matrix X).
          If XTRUE is the true solution corresponding to X(j), FERR(j)
          is an estimated upper bound for the magnitude of the largest
          element in (X(j) - XTRUE) divided by the magnitude of the
          largest element in X(j).  The estimate is as reliable as
          the estimate for RCOND, and is almost always a slight
          overestimate of the true error.
[out]BERR
          BERR is DOUBLE PRECISION array, dimension (NRHS)
          The componentwise relative backward error of each solution
          vector X(j) (i.e., the smallest relative change in
          any element of A or B that makes X(j) an exact solution).
[out]WORK
          WORK is DOUBLE PRECISION array, dimension (3*N)
[out]IWORK
          IWORK is INTEGER array, dimension (N)
[out]INFO
          INFO is INTEGER
          = 0:  successful exit
          < 0:  if INFO = -i, the i-th argument had an illegal value
Internal Parameters: 
  ITMAX is the maximum number of steps of iterative refinement.
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date
November 2011

Definition at line 181 of file dsprfs.f.

181 *
182 * -- LAPACK computational routine (version 3.4.0) --
183 * -- LAPACK is a software package provided by Univ. of Tennessee, --
184 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
185 * November 2011
186 *
187 * .. Scalar Arguments ..
188  CHARACTER uplo
189  INTEGER info, ldb, ldx, n, nrhs
190 * ..
191 * .. Array Arguments ..
192  INTEGER ipiv( * ), iwork( * )
193  DOUBLE PRECISION afp( * ), ap( * ), b( ldb, * ), berr( * ),
194  $ ferr( * ), work( * ), x( ldx, * )
195 * ..
196 *
197 * =====================================================================
198 *
199 * .. Parameters ..
200  INTEGER itmax
201  parameter ( itmax = 5 )
202  DOUBLE PRECISION zero
203  parameter ( zero = 0.0d+0 )
204  DOUBLE PRECISION one
205  parameter ( one = 1.0d+0 )
206  DOUBLE PRECISION two
207  parameter ( two = 2.0d+0 )
208  DOUBLE PRECISION three
209  parameter ( three = 3.0d+0 )
210 * ..
211 * .. Local Scalars ..
212  LOGICAL upper
213  INTEGER count, i, ik, j, k, kase, kk, nz
214  DOUBLE PRECISION eps, lstres, s, safe1, safe2, safmin, xk
215 * ..
216 * .. Local Arrays ..
217  INTEGER isave( 3 )
218 * ..
219 * .. External Subroutines ..
220  EXTERNAL daxpy, dcopy, dlacn2, dspmv, dsptrs, xerbla
221 * ..
222 * .. Intrinsic Functions ..
223  INTRINSIC abs, max
224 * ..
225 * .. External Functions ..
226  LOGICAL lsame
227  DOUBLE PRECISION dlamch
228  EXTERNAL lsame, dlamch
229 * ..
230 * .. Executable Statements ..
231 *
232 * Test the input parameters.
233 *
234  info = 0
235  upper = lsame( uplo, 'U' )
236  IF( .NOT.upper .AND. .NOT.lsame( uplo, 'L' ) ) THEN
237  info = -1
238  ELSE IF( n.LT.0 ) THEN
239  info = -2
240  ELSE IF( nrhs.LT.0 ) THEN
241  info = -3
242  ELSE IF( ldb.LT.max( 1, n ) ) THEN
243  info = -8
244  ELSE IF( ldx.LT.max( 1, n ) ) THEN
245  info = -10
246  END IF
247  IF( info.NE.0 ) THEN
248  CALL xerbla( 'DSPRFS', -info )
249  RETURN
250  END IF
251 *
252 * Quick return if possible
253 *
254  IF( n.EQ.0 .OR. nrhs.EQ.0 ) THEN
255  DO 10 j = 1, nrhs
256  ferr( j ) = zero
257  berr( j ) = zero
258  10 CONTINUE
259  RETURN
260  END IF
261 *
262 * NZ = maximum number of nonzero elements in each row of A, plus 1
263 *
264  nz = n + 1
265  eps = dlamch( 'Epsilon' )
266  safmin = dlamch( 'Safe minimum' )
267  safe1 = nz*safmin
268  safe2 = safe1 / eps
269 *
270 * Do for each right hand side
271 *
272  DO 140 j = 1, nrhs
273 *
274  count = 1
275  lstres = three
276  20 CONTINUE
277 *
278 * Loop until stopping criterion is satisfied.
279 *
280 * Compute residual R = B - A * X
281 *
282  CALL dcopy( n, b( 1, j ), 1, work( n+1 ), 1 )
283  CALL dspmv( uplo, n, -one, ap, x( 1, j ), 1, one, work( n+1 ),
284  $ 1 )
285 *
286 * Compute componentwise relative backward error from formula
287 *
288 * max(i) ( abs(R(i)) / ( abs(A)*abs(X) + abs(B) )(i) )
289 *
290 * where abs(Z) is the componentwise absolute value of the matrix
291 * or vector Z. If the i-th component of the denominator is less
292 * than SAFE2, then SAFE1 is added to the i-th components of the
293 * numerator and denominator before dividing.
294 *
295  DO 30 i = 1, n
296  work( i ) = abs( b( i, j ) )
297  30 CONTINUE
298 *
299 * Compute abs(A)*abs(X) + abs(B).
300 *
301  kk = 1
302  IF( upper ) THEN
303  DO 50 k = 1, n
304  s = zero
305  xk = abs( x( k, j ) )
306  ik = kk
307  DO 40 i = 1, k - 1
308  work( i ) = work( i ) + abs( ap( ik ) )*xk
309  s = s + abs( ap( ik ) )*abs( x( i, j ) )
310  ik = ik + 1
311  40 CONTINUE
312  work( k ) = work( k ) + abs( ap( kk+k-1 ) )*xk + s
313  kk = kk + k
314  50 CONTINUE
315  ELSE
316  DO 70 k = 1, n
317  s = zero
318  xk = abs( x( k, j ) )
319  work( k ) = work( k ) + abs( ap( kk ) )*xk
320  ik = kk + 1
321  DO 60 i = k + 1, n
322  work( i ) = work( i ) + abs( ap( ik ) )*xk
323  s = s + abs( ap( ik ) )*abs( x( i, j ) )
324  ik = ik + 1
325  60 CONTINUE
326  work( k ) = work( k ) + s
327  kk = kk + ( n-k+1 )
328  70 CONTINUE
329  END IF
330  s = zero
331  DO 80 i = 1, n
332  IF( work( i ).GT.safe2 ) THEN
333  s = max( s, abs( work( n+i ) ) / work( i ) )
334  ELSE
335  s = max( s, ( abs( work( n+i ) )+safe1 ) /
336  $ ( work( i )+safe1 ) )
337  END IF
338  80 CONTINUE
339  berr( j ) = s
340 *
341 * Test stopping criterion. Continue iterating if
342 * 1) The residual BERR(J) is larger than machine epsilon, and
343 * 2) BERR(J) decreased by at least a factor of 2 during the
344 * last iteration, and
345 * 3) At most ITMAX iterations tried.
346 *
347  IF( berr( j ).GT.eps .AND. two*berr( j ).LE.lstres .AND.
348  $ count.LE.itmax ) THEN
349 *
350 * Update solution and try again.
351 *
352  CALL dsptrs( uplo, n, 1, afp, ipiv, work( n+1 ), n, info )
353  CALL daxpy( n, one, work( n+1 ), 1, x( 1, j ), 1 )
354  lstres = berr( j )
355  count = count + 1
356  GO TO 20
357  END IF
358 *
359 * Bound error from formula
360 *
361 * norm(X - XTRUE) / norm(X) .le. FERR =
362 * norm( abs(inv(A))*
363 * ( abs(R) + NZ*EPS*( abs(A)*abs(X)+abs(B) ))) / norm(X)
364 *
365 * where
366 * norm(Z) is the magnitude of the largest component of Z
367 * inv(A) is the inverse of A
368 * abs(Z) is the componentwise absolute value of the matrix or
369 * vector Z
370 * NZ is the maximum number of nonzeros in any row of A, plus 1
371 * EPS is machine epsilon
372 *
373 * The i-th component of abs(R)+NZ*EPS*(abs(A)*abs(X)+abs(B))
374 * is incremented by SAFE1 if the i-th component of
375 * abs(A)*abs(X) + abs(B) is less than SAFE2.
376 *
377 * Use DLACN2 to estimate the infinity-norm of the matrix
378 * inv(A) * diag(W),
379 * where W = abs(R) + NZ*EPS*( abs(A)*abs(X)+abs(B) )))
380 *
381  DO 90 i = 1, n
382  IF( work( i ).GT.safe2 ) THEN
383  work( i ) = abs( work( n+i ) ) + nz*eps*work( i )
384  ELSE
385  work( i ) = abs( work( n+i ) ) + nz*eps*work( i ) + safe1
386  END IF
387  90 CONTINUE
388 *
389  kase = 0
390  100 CONTINUE
391  CALL dlacn2( n, work( 2*n+1 ), work( n+1 ), iwork, ferr( j ),
392  $ kase, isave )
393  IF( kase.NE.0 ) THEN
394  IF( kase.EQ.1 ) THEN
395 *
396 * Multiply by diag(W)*inv(A**T).
397 *
398  CALL dsptrs( uplo, n, 1, afp, ipiv, work( n+1 ), n,
399  $ info )
400  DO 110 i = 1, n
401  work( n+i ) = work( i )*work( n+i )
402  110 CONTINUE
403  ELSE IF( kase.EQ.2 ) THEN
404 *
405 * Multiply by inv(A)*diag(W).
406 *
407  DO 120 i = 1, n
408  work( n+i ) = work( i )*work( n+i )
409  120 CONTINUE
410  CALL dsptrs( uplo, n, 1, afp, ipiv, work( n+1 ), n,
411  $ info )
412  END IF
413  GO TO 100
414  END IF
415 *
416 * Normalize error.
417 *
418  lstres = zero
419  DO 130 i = 1, n
420  lstres = max( lstres, abs( x( i, j ) ) )
421  130 CONTINUE
422  IF( lstres.NE.zero )
423  $ ferr( j ) = ferr( j ) / lstres
424 *
425  140 CONTINUE
426 *
427  RETURN
428 *
429 * End of DSPRFS
430 *
dcopy
subroutine dcopy(N, DX, INCX, DY, INCY)
DCOPY
Definition: dcopy.f:53
dsptrs
subroutine dsptrs(UPLO, N, NRHS, AP, IPIV, B, LDB, INFO)
DSPTRS
Definition: dsptrs.f:117
dlamch
double precision function dlamch(CMACH)
DLAMCH
Definition: dlamch.f:65
dspmv
subroutine dspmv(UPLO, N, ALPHA, AP, X, INCX, BETA, Y, INCY)
DSPMV
Definition: dspmv.f:149
daxpy
subroutine daxpy(N, DA, DX, INCX, DY, INCY)
DAXPY
Definition: daxpy.f:54
xerbla
subroutine xerbla(SRNAME, INFO)
XERBLA
Definition: xerbla.f:62
lsame
logical function lsame(CA, CB)
LSAME
Definition: lsame.f:55
dlacn2
subroutine dlacn2(N, V, X, ISGN, EST, KASE, ISAVE)
DLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vec...
Definition: dlacn2.f:138

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