コード例 #1
0
ファイル: az_gmresr.c プロジェクト: cakeisalie/oomphlib_003
void AZ_pgmresr(double b[], double x[],double weight[], int options[],
	double params[], int proc_config[], double status[], AZ_MATRIX *Amat, 
	AZ_PRECOND *precond, struct AZ_CONVERGE_STRUCT *convergence_info)

/*******************************************************************************

  This routine uses Saad's restarted Genralized Minimum Residual method to solve
  the nonsymmetric matrix problem Ax = b.

  IMPORTANT NOTE: While the 2-norm of the gmres residual is available, the
  actual residual is not normally computed as part of the gmres algorithm. Thus,
  if the user uses a convergence condition (see AZ_gmres_global_scalars()) that
  is based on the 2-norm of the residual there is no need to compute the
  residual (i.e. r_avail = AZ_FALSE). However, if another norm of r is
  requested, AZ_gmres_global_scalars() sets r_avail = AZ_TRUE and the algorithm
  computes the residual.

  Author:          John N. Shadid, SNL, 1421
  =======

  Return code:     void
  ============

  Parameter list:
  ===============

  Amat:            Structure used for DMSR and DVBR sparse matrix storage (see
                   file Aztec User's Guide).

  b:               Right hand side of linear system.

  x:               On input, contains the initial guess. On output contains the
                   solution to the linear system.

  weight:          Vector of weights for convergence norm #4.

  options:         Determines specific solution method and other parameters.

  params:          Drop tolerance and convergence tolerance info.

  data_org:        Array containing information on the distribution of the
                   matrix to this processor as well as communication parameters
                   (see file Aztec User's Guide).

  proc_config:     Machine configuration.  proc_config[AZ_node] is the node
                   number.  proc_config[AZ_N_procs] is the number of processors.

  status:          On output, indicates termination status:
                    0:  terminated normally.
                   -1:  maximum number of iterations taken without achieving
                        convergence.
                   -2:  Breakdown. The algorithm can not proceed due to
                        numerical difficulties (usually a divide by zero).
                   -3:  Internal residual differs from the computed residual due
                        to a significant loss of precision.

  Amat:            Structure used to represent the matrix (see file az_aztec.h
                   and Aztec User's Guide).
*******************************************************************************/

{

  /* local variables */

  register int k;
  int          i, N, NN, converged, one = 1, iter, r_avail = AZ_FALSE;
  int          print_freq, proc, kspace;
  double     **UU, **CC, *dots, *tmp, *res;
  double       dble_tmp, r_2norm = 1.0, epsilon;
  double       rec_residual, scaled_r_norm, true_scaled_r=0.0;
  double       actual_residual = -1.0, minus_alpha, alpha;
  double       *dummy = (double *) 0;
  double       *UUblock, *CCblock;
  int          mm, ii;
  char         label[64],suffix[32], prefix[64];
  int          *data_org, str_leng, first_time = AZ_TRUE;
  double       doubleone = 1.0, minusone = -1.0, init_time = 0.0;
char *T = "T";
char *T2 = "N";


  /**************************** execution begins ******************************/

  sprintf(suffix," in gmresr%d",options[AZ_recursion_level]);
						/* set string that will be used */
                                                /* for manage_memory label      */
  /* set prefix for printing */

  str_leng = 0;
  for (i = 0; i < 16; i++) prefix[str_leng++] = ' ';
  for (i = 0 ; i < options[AZ_recursion_level]; i++ ) {
     prefix[str_leng++] = ' '; prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
     prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
  }
  prefix[str_leng] = '\0';

  data_org = Amat->data_org;

  /* pull needed values out of parameter arrays */

  N            = data_org[AZ_N_internal] + data_org[AZ_N_border];
  epsilon      = params[AZ_tol];
  proc         = proc_config[AZ_node];
  print_freq   = options[AZ_print_freq];
  kspace       = options[AZ_kspace];

  /* Initialize some values in convergence info struct */
  convergence_info->print_info = print_freq;
  convergence_info->iteration = 0;
  convergence_info->sol_updated = 0; /* GMRES seldom updates solution */
  convergence_info->epsilon = params[AZ_tol];

  /* allocate memory for required vectors */

  NN    = kspace  + 1;
  /* +1: make sure everybody allocates something */

  sprintf(label,"dots%s",suffix);
  dots  = AZ_manage_memory(2*NN*sizeof(double), AZ_ALLOC,AZ_SYS+az_iterate_id,label,&i);
  tmp   = &(dots[NN]);
  sprintf(label,"CC%s",suffix);
  CC    = (double **) AZ_manage_memory(2*NN*sizeof(double *),
                                       AZ_ALLOC,AZ_SYS+az_iterate_id,label,&i);
  UU    = &(CC[NN]);

  NN    = N + data_org[AZ_N_external];
  if (NN == 0) NN++; /* make sure everybody allocates something */
  NN = NN + (NN%2);  /* make sure things are aligned for intel  */


  sprintf(label,"UUblock%s",suffix);
  UUblock = AZ_manage_memory(2*NN*kspace*sizeof(double),
                             AZ_ALLOC, AZ_SYS+az_iterate_id,label, &i);
  for (k = 0; k < kspace; k++) UU[k] = &(UUblock[k*NN]);
  CCblock = &(UUblock[kspace*NN]);
  for (k = 0; k < kspace; k++) CC[k] = &(CCblock[k*NN]);

  sprintf(label,"res%s",suffix);
  res = AZ_manage_memory(NN*sizeof(double),AZ_ALLOC,AZ_SYS+az_iterate_id,label,&i);

  AZ_compute_residual(b, x, res, proc_config, Amat);

  /*
   * Compute a few global scalars:
   *     1) ||r||                corresponding to options[AZ_conv]
   *     2) scaled ||r||         corresponding to options[AZ_conv]
   */
  r_2norm = DDOT_F77(&N, res, &one, res, &one);
  AZ_gdot_vec(1, &r_2norm, &rec_residual, proc_config);  
  r_2norm = sqrt(r_2norm);
  rec_residual = r_2norm;

  AZ_compute_global_scalars(Amat, x, b, res,
                          weight, &rec_residual, &scaled_r_norm, options,
                          data_org, proc_config, &r_avail, NULL, NULL, NULL,
                          convergence_info);
  r_2norm = rec_residual;

  converged = scaled_r_norm < epsilon;

  if ( (options[AZ_output] != AZ_none) && 
       (options[AZ_output] != AZ_last) &&
       (options[AZ_output] != AZ_summary) &&
       (options[AZ_output] != AZ_warnings) && (proc == 0) )
    (void) AZ_printf_out("%siter:    0           residual = %e\n",
                           prefix,scaled_r_norm);

  iter = 0;
/*rst change  while (!converged && iter < options[AZ_max_iter]) { */
  while (!(convergence_info->converged) && iter < options[AZ_max_iter] && !(convergence_info->isnan)) {

    convergence_info->iteration = iter;
    i = 0;

/*rst change   while (i < kspace && !converged && iter < options[AZ_max_iter]) { */
    while (i < kspace && !(convergence_info->converged) && iter < options[AZ_max_iter]
           && !(convergence_info->isnan)) {

      iter++;
    convergence_info->iteration = iter;


      /* v_i+1 = A M^-1 v_i */

      DCOPY_F77(&N, res , &one, UU[i], &one);

      if (iter == 1) init_time = AZ_second();

#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
        /* Start timer. */
      static int precID = -1;
      precID = Teuchos_startTimer( "AztecOO: Operation Prec*x", precID );
#endif
#endif
      precond->prec_function(UU[i],options,proc_config,params,Amat,precond);
#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      /* Stop timer. */
      Teuchos_stopTimer( precID );
#endif
#endif
      if (iter == 1) status[AZ_first_precond] = AZ_second() - init_time;

#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      /* Start timer. */
      static int matvecID = -1;
      matvecID = Teuchos_startTimer( "AztecOO: Operation Op*x", matvecID );
#endif
#endif
      Amat->matvec(UU[i], CC[i], Amat, proc_config);
#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      /* Stop timer. */
      Teuchos_stopTimer( matvecID );
#endif
#endif

#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      /* Start the timer. */
      static int orthoID = -1;
      orthoID = Teuchos_startTimer( "AztecOO: Orthogonalization", orthoID );
#endif
#endif

      /* Gram-Schmidt orthogonalization */

      if (!options[AZ_orthog]) { /* classical  (stabilized) */
         for (ii = 0 ; ii < 2 ; ii++ ) {
            dble_tmp = 0.0; mm = i;
            if (N == 0) for (k = 0 ; k < i ; k++) dots[k] = 0.0;
#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      /* Start the timer. */
      static int orthoInnerProdID = -1;
      orthoInnerProdID = Teuchos_startTimer( "AztecOO: Ortho (Inner Product)", orthoInnerProdID );
#endif
#endif
            DGEMV_F77(CHAR_MACRO(T[0]), &N, &mm, &doubleone, CCblock, &NN, CC[i], 
                   &one, &dble_tmp, dots, &one);

            AZ_gdot_vec(i, dots, tmp, proc_config);
#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      Teuchos_stopTimer( orthoInnerProdID );
#endif
#endif

#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      /* Start the timer. */
      static int orthoUpdateID = -1;
      orthoUpdateID = Teuchos_startTimer( "AztecOO: Ortho (Update)", orthoUpdateID );
#endif
#endif
            DGEMV_F77(CHAR_MACRO(T2[0]), &N, &mm, &minusone, CCblock, &NN, dots, 
                   &one, &doubleone, CC[i], &one);
            DGEMV_F77(CHAR_MACRO(T2[0]), &N, &mm, &minusone, UUblock, &NN, dots,
                   &one, &doubleone, UU[i], &one);
#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      Teuchos_stopTimer( orthoUpdateID );
#endif
#endif
         }
      }
      else {                    /* modified */
        for (k = 0; k < i; k++) {
          alpha = AZ_gdot(N, CC[k], CC[i], proc_config);
          minus_alpha = -alpha;
          DAXPY_F77(&N, &minus_alpha, CC[k], &one, CC[i], &one);
          DAXPY_F77(&N, &minus_alpha, UU[k], &one, UU[i], &one);
        }
      }

      /* normalize vector */

#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      static int orthoNormID = -1;
      orthoNormID = Teuchos_startTimer( "AztecOO: Ortho (Norm)", orthoNormID );
#endif
#endif
      dble_tmp = sqrt(AZ_gdot(N, CC[i], CC[i], proc_config));
#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      Teuchos_stopTimer( orthoNormID );
#endif
#endif

      if (dble_tmp  > DBL_EPSILON*r_2norm)
        dble_tmp  = 1.0 / dble_tmp;
      else
        dble_tmp = 0.0;

      DSCAL_F77(&N, &dble_tmp, CC[i], &one);
      DSCAL_F77(&N, &dble_tmp, UU[i], &one);

      dble_tmp = AZ_gdot(N, CC[i], res, proc_config);
      DAXPY_F77(&N, &dble_tmp, UU[i], &one, x, &one);
      dble_tmp = -dble_tmp;
      DAXPY_F77(&N, &dble_tmp, CC[i], &one, res, &one);

#ifdef AZ_ENABLE_TIMEMONITOR
#ifdef HAVE_AZTECOO_TEUCHOS
      /* Stop the timer. */
      Teuchos_stopTimer( orthoID );
#endif
#endif

      /* determine residual norm & test convergence */

      r_2norm      = sqrt(AZ_gdot(N, res, res, proc_config));
      rec_residual = r_2norm;

      /*
       * Compute a few global scalars:
       *     1) ||r||                corresponding to options[AZ_conv]
       *     2) scaled ||r||         corresponding to options[AZ_conv]
       * NOTE: if r_avail = AZ_TRUE or AZ_FIRST is passed in, we perform
       * step 1), otherwise ||r|| is taken as rec_residual.
       */

      AZ_compute_global_scalars(Amat, x, b, res,
                              weight, &rec_residual, &scaled_r_norm, options,
                              data_org, proc_config, &r_avail, dummy, dummy,
                              dummy, convergence_info);

      converged = scaled_r_norm < epsilon;

/*rst change      if ( (iter%print_freq == 0) && proc == 0) */
      if ( (iter%print_freq == 0) &&
           (options[AZ_conv]!=AZTECOO_conv_test) && proc == 0)
        (void) AZ_printf_out("%siter: %4d           residual = %e\n",prefix,iter,
                       scaled_r_norm);

      i++;      /* subspace dim. counter dim(K) = i - 1 */
#ifdef out
      if (options[AZ_check_update_size] & converged)
         converged = AZ_compare_update_vs_soln(N, -1.,dble_tmp, UU[i-1], x,
                                           params[AZ_update_reduction],
                                           options[AZ_output], proc_config, &first_time);



      if (converged) {

        /* compute true residual using 'v[kspace]' as a temporary vector */

        AZ_scale_true_residual(x, b,
                               res, weight, &actual_residual, &true_scaled_r,
                               options, data_org, proc_config, Amat,
			       convergence_info);

        converged = true_scaled_r < params[AZ_tol];

        if (!converged && (AZ_get_new_eps(&epsilon, scaled_r_norm,
                                          true_scaled_r,
                                          options, proc_config) == AZ_QUIT)) {

          /*
           * Computed residual has converged, actual residual has not
           * converged, AZ_get_new_eps() has decided that it is time to quit.
           */

          AZ_terminate_status_print(AZ_loss, iter, status, rec_residual, params,
                                    true_scaled_r, actual_residual, options,
                                    proc_config);
          return;
        }
      }
#endif
    }
  }

  if ( (iter%print_freq != 0) && (proc == 0) && (options[AZ_output] != AZ_none)
       && (options[AZ_output] != AZ_warnings))
    (void) AZ_printf_out("%siter: %4d           residual = %e\n",
		   prefix,iter, scaled_r_norm);


  if (convergence_info->converged) {
    i = AZ_normal;
    scaled_r_norm = true_scaled_r;
  }
  else if (convergence_info->isnan) i = AZ_breakdown;
  else i = AZ_maxits;

  AZ_terminate_status_print(i, iter, status, rec_residual, params,
                            scaled_r_norm, actual_residual, options,
                            proc_config);

#ifdef out
  /* check if we exceeded maximum number of iterations */

  if (converged) {
    i = AZ_normal;
    scaled_r_norm = true_scaled_r;
  }
  else
    i = AZ_maxits;

  AZ_terminate_status_print(i, iter, status, rec_residual, params,
                            scaled_r_norm, actual_residual, options,
                            proc_config);

#endif
} /* AZ_pgmres */
コード例 #2
0
ファイル: az_cgstab.c プロジェクト: haripandey/trilinos
void AZ_pbicgstab(double b[], double x[], double weight[], int options[], 
	double params[],int proc_config[], double status[], AZ_MATRIX *Amat, 
	AZ_PRECOND *precond, struct AZ_CONVERGE_STRUCT *convergence_info)

/*******************************************************************************

  Vand der Vorst's (1990) variation of the Bi-Conjugate Gradient algorthm
  (Sonneveld (1984,1989)) to solve the nonsymmetric matrix problem Ax = b.

  Author:          John N. Shadid, SNL, 1421
  =======

  Return code:     void
  ============

  Parameter list:
  ===============

  b:               Right hand side of linear system.

  x:               On input, contains the initial guess. On output contains the
                   solution to the linear system.

  weight:          Vector of weights for convergence norm #4.

  options:         Determines specific solution method and other parameters.

  params:          Drop tolerance and convergence tolerance info.

  proc_config:     Machine configuration.  proc_config[AZ_node] is the node
                   number.  proc_config[AZ_N_procs] is the number of processors.

  status:          On output, indicates termination status:
                    0:  terminated normally.
                   -1:  maximum number of iterations taken without achieving
                        convergence.
                   -2:  Breakdown. The algorithm can not proceed due to
                        numerical difficulties (usually a divide by zero).
                   -3:  Internal residual differs from the computed residual due
                        to a significant loss of precision.

  Amat:            Structure used to represent the matrix (see file az_aztec.h
                   and Aztec User's Guide).
  precond:         Structure used to represent the preconditionner
                   (see file az_aztec.h and Aztec User's Guide).

*******************************************************************************/

{

  /* local variables */

  register int    i;
  int             N, NN, one = 1, iter=1, r_avail = AZ_TRUE, j;
  int             precond_flag, print_freq, proc;
  int             brkdown_will_occur = AZ_FALSE;
  double          alpha = 1.0, beta, true_scaled_r=0.0;
  double          *v, *r, *rtilda, *p, *phat, *s, *shat;
  double          omega = 1.0, dot_vec[2], tmp[2], init_time = 0.0;
  double          rhonm1 = 1.0, rhon, sigma, brkdown_tol = DBL_EPSILON;
  double          scaled_r_norm= -1.0, actual_residual = -1.0, rec_residual= -1.0;
  double          dtemp;
  int          *data_org, str_leng, first_time = AZ_TRUE;
  char         label[64],suffix[32], prefix[64];


  /**************************** execution begins ******************************/

  sprintf(suffix," in cgstab%d",options[AZ_recursion_level]);
                                                           /* set string that will be used */
                                                           /* for manage_memory label      */
  /* set prefix for printing */

  str_leng = 0;
  for (i = 0; i < 16; i++) prefix[str_leng++] = ' ';
  for (i = 0 ; i < options[AZ_recursion_level]; i++ ) {
     prefix[str_leng++] = ' '; prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
     prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
  }
  prefix[str_leng] = '\0';

  data_org = Amat->data_org;

  /* pull needed values out of parameter arrays */

  N            = data_org[AZ_N_internal] + data_org[AZ_N_border];
  precond_flag = options[AZ_precond];
  proc         = proc_config[AZ_node];
  print_freq   = options[AZ_print_freq];

  /* Initialize some values in convergence info struct */
  convergence_info->print_info = print_freq;
  convergence_info->iteration = 0;
  convergence_info->sol_updated = 1; /* BiCGStab always updates solution */
  convergence_info->epsilon = params[AZ_tol]; /* Test against this */

  /* allocate memory for required vectors */

  NN     = N + data_org[AZ_N_external];
  if (NN == 0) NN++;   /* make sure everybody allocates something*/
  NN = NN + (NN%2);    /* make sure things are aligned for the   */
                       /* assembly coded matvec() on the Intel.  */

  sprintf(label,"phat%s",suffix);
  phat   = (double *) AZ_manage_memory(7*NN*sizeof(double), AZ_ALLOC, 
                                       AZ_SYS+az_iterate_id, label,&j);
  p      = &(phat[1*NN]);
  shat   = &(phat[2*NN]);   /* NOTE: phat and shat must be aligned */
                            /*       so that the assembly dgemv    */
                            /*       works on the paragon.         */
  s      = &(phat[3*NN]);
  r      = &(phat[4*NN]);
  rtilda = &(phat[5*NN]);
  v      = &(phat[6*NN]);

  AZ_compute_residual(b, x, r, proc_config, Amat);

  /* v, p <- 0 */

  for (i = 0; i < N; i++) v[i] = p[i] = 0.0;

  /* set rtilda */

  if (options[AZ_aux_vec] == AZ_resid)
    DCOPY_F77(&N, r, &one, rtilda, &one);
  else
    AZ_random_vector(rtilda, data_org, proc_config);

  /*
   * Compute a few global scalars:
   *     1) ||r||                corresponding to options[AZ_conv]
   *     2) scaled ||r||         corresponding to options[AZ_conv]
   *     3) rho = <rtilda, r>
   */

  AZ_compute_global_scalars(Amat, x, b, r,
                            weight, &rec_residual, &scaled_r_norm, options,
                            data_org, proc_config,&r_avail,r,rtilda, &rhon,
                            convergence_info);
  true_scaled_r = scaled_r_norm;

  if ((options[AZ_output] != AZ_none) && 
      (options[AZ_output] != AZ_last) &&
      (options[AZ_output] != AZ_warnings) &&
      (options[AZ_output] != AZ_summary) &&
      (options[AZ_conv]!=AZTECOO_conv_test) && (proc == 0))
    (void) AZ_printf_out("%siter:    0           residual = %e\n",prefix,scaled_r_norm);


  for (iter = 1; iter <= options[AZ_max_iter] && !(convergence_info->converged)
	 && !(convergence_info->isnan); iter++) {
    if (brkdown_will_occur) {
      AZ_scale_true_residual( x, b, v,
                             weight, &actual_residual, &true_scaled_r, options,
                             data_org, proc_config, Amat, convergence_info);

      AZ_terminate_status_print(AZ_breakdown, iter, status, rec_residual,
                                params, true_scaled_r, actual_residual, options,
                                proc_config);
      return;
    }

    beta = (rhon/rhonm1) * (alpha/omega);

    if (fabs(rhon) < brkdown_tol) { /* possible problem */
      if (AZ_breakdown_f(N, r, rtilda, rhon, proc_config))
        brkdown_will_occur = AZ_TRUE;
      else
        brkdown_tol = 0.1 * fabs(rhon);
    }

    rhonm1 = rhon;

    /* p    = r + beta*(p - omega*v)       */
    /* phat = M^-1 p                       */
    /* v    = A phat                       */

    dtemp = beta * omega;
    for (i = 0; i < N; i++) p[i] = r[i] + beta * p[i] - dtemp * v[i];
    DCOPY_F77(&N, p, &one, phat, &one);

    if (iter==1) init_time = AZ_second();
    if (precond_flag)
      precond->prec_function(phat,options,proc_config,params,Amat,precond);

    if (iter==1) status[AZ_first_precond] = AZ_second() - init_time;

    Amat->matvec(phat, v, Amat, proc_config);

    sigma = AZ_gdot(N, rtilda, v, proc_config);

    if (fabs(sigma) < brkdown_tol) { /* possible problem */
      if (AZ_breakdown_f(N, rtilda, v, sigma, proc_config)) {

        /* break down */

        AZ_scale_true_residual( x, b, v,
                               weight, &actual_residual, &true_scaled_r,
                               options, data_org,proc_config, Amat,
			       convergence_info);

        AZ_terminate_status_print(AZ_breakdown, iter, status, rec_residual,
                                  params, true_scaled_r, actual_residual,
                                  options, proc_config);
        return;
      }
      else brkdown_tol = 0.1 * fabs(sigma);
    }

    alpha = rhon / sigma;

    /* s = r - alpha*v                     */
    /* shat = M^-1 s                       */
    /* r = A shat (r is a tmp here for t ) */

    for (i = 0; i < N; i++) s[i] = r[i] - alpha * v[i];
    DCOPY_F77(&N, s, &one, shat, &one);

    if (precond_flag)    
      precond->prec_function(shat,options,proc_config,params,Amat,precond);

    Amat->matvec(shat, r, Amat, proc_config);


    /* omega = (t,s)/(t,t) with r = t */

    dot_vec[0] = DDOT_F77(&N, r, &one, s, &one);
    dot_vec[1] = DDOT_F77(&N, r, &one, r, &one);
    AZ_gdot_vec(2, dot_vec, tmp, proc_config);

    if (fabs(dot_vec[1]) < DBL_MIN) {
      omega = 0.0;
      brkdown_will_occur = AZ_TRUE;
    }
    else omega = dot_vec[0] / dot_vec[1];

    /* x = x + alpha*phat + omega*shat */
    /* r = s - omega*r */

    DAXPY_F77(&N, &alpha, phat, &one, x, &one);
    DAXPY_F77(&N, &omega, shat, &one, x, &one);

    for (i = 0; i < N; i++) r[i] = s[i] - omega * r[i];

    /*
     * Compute a few global scalars:
     *     1) ||r||                corresponding to options[AZ_conv]
     *     2) scaled ||r||         corresponding to options[AZ_conv]
     *     3) rho = <rtilda, r>
     */

    AZ_compute_global_scalars(Amat, x, b, r,
                              weight, &rec_residual, &scaled_r_norm, options,
                              data_org, proc_config, &r_avail, r, rtilda, &rhon,
                              convergence_info);

    if ( (iter%print_freq == 0) && proc == 0)
      (void) AZ_printf_out("%siter: %4d           residual = %e\n",prefix,iter,
                     scaled_r_norm);

    /* convergence tests */

    if (options[AZ_check_update_size] & convergence_info->converged) {
      dtemp = alpha/omega;
      DAXPY_F77(&N, &dtemp, phat, &one, shat, &one);
      convergence_info->converged = AZ_compare_update_vs_soln(N, -1.,omega, shat, x,
                                         params[AZ_update_reduction],
                                         options[AZ_output], proc_config, &first_time);
    }

    if (convergence_info->converged) {
      AZ_scale_true_residual(x, b, v,
                             weight, &actual_residual, &true_scaled_r, options,
                             data_org, proc_config, Amat, convergence_info);


      /*
       * Note: epsilon and params[AZ_tol] may not be equal due to a previous
       *       call to AZ_get_new_eps().
       */

      if (!(convergence_info->converged) && options[AZ_conv]!=AZTECOO_conv_test) {
	if (AZ_get_new_eps(&convergence_info->epsilon, scaled_r_norm, true_scaled_r,
			   options, proc_config) == AZ_QUIT) {

	  /*
	   * Computed residual has converged, actual residual has not converged,
	   * AZ_get_new_eps() has decided that it is time to quit.
	   */
	  
	  AZ_terminate_status_print(AZ_loss, iter, status, rec_residual, params,
				    true_scaled_r, actual_residual, options,
				    proc_config);
	  return;
	}
      }
    }
  }

  iter--;
  if ( (iter%print_freq != 0) && (proc == 0) && (options[AZ_output] != AZ_none)
       && (options[AZ_output] != AZ_warnings) &&
       (options[AZ_conv]!=AZTECOO_conv_test))
    (void) AZ_printf_out("%siter: %4d           residual = %e\n", prefix,iter,
                   scaled_r_norm);

  /* check if we exceeded maximum number of iterations */

  if (convergence_info->converged) {
    i = AZ_normal;
    scaled_r_norm = true_scaled_r;
  }
  else if (convergence_info->isnan) i = AZ_breakdown;
  else
    i = AZ_maxits;

  AZ_terminate_status_print(i, iter, status, rec_residual, params,
                            scaled_r_norm, actual_residual, options,
                            proc_config);

} /* bicgstab */
コード例 #3
0
ファイル: az_cg.c プロジェクト: 00liujj/trilinos
void AZ_pcg_f(double b[], double x[], double weight[], int options[],
              double params[], int proc_config[],double status[],
              AZ_MATRIX *Amat, AZ_PRECOND *precond,
              struct AZ_CONVERGE_STRUCT *convergence_info)

     /*******************************************************************************

  Conjugate Gradient algorithm to solve the symmetric matrix problem Ax = b.

  Author:          John N. Shadid, SNL, 1421
  =======

  Return code:     void
  ============

  Parameter list:
  ===============

  b:               Right hand side of linear system.

  x:               On input, contains the initial guess. On output contains the
                   solution to the linear system.

  weight:          Vector of weights for convergence norm #4.

  options:         Determines specific solution method and other parameters.

  params:          Drop tolerance and convergence tolerance info.

  proc_config:     Machine configuration.  proc_config[AZ_node] is the node
                   number.  proc_config[AZ_N_procs] is the number of processors.

  status:          On output, indicates termination status:
                    0:  terminated normally.
                   -1:  maximum number of iterations taken without achieving
                        convergence.
                   -2:  Breakdown. The algorithm can not proceed due to
                        numerical difficulties (usually a divide by zero).
                   -3:  Internal residual differs from the computed residual due
                        to a significant loss of precision.

  Amat:            Structure used to represent the matrix (see file az_aztec.h
                   and Aztec User's Guide).

  precond:         Structure used to represent the preconditioner
                   (see file az_aztec.h and Aztec User's Guide).
*******************************************************************************/



{

  /* local variables */

  register int i;
  int          N, NN, one = 1, iter = 1, r_avail = AZ_TRUE, j;
  int          precond_flag, print_freq, proc, brkdown_will_occur = AZ_FALSE;
  double       alpha, beta = 0.0, nalpha, true_scaled_r=-1.0;
  double      *r, *z, *p, *ap, actual_residual = -1.0;
  double       r_z_dot, r_z_dot_old, p_ap_dot, rec_residual=-1.0;
  double       scaled_r_norm=-1.0, brkdown_tol = DBL_EPSILON;
  int          *data_org, str_leng, first_time = AZ_TRUE;
  char         label[64],suffix[32], prefix[64];

  double **saveme, *ptap;
  int *kvec_sizes = NULL, current_kept = 0;
  double *dots;
  double doubleone = 1., dzero = 0.;
  char *T = "T";
  char *T2 = "N";
  double *block;



  /**************************** execution begins ******************************/

  sprintf(suffix," in cg%d",options[AZ_recursion_level]);  /* set string that will be used */
                                                           /* for manage_memory label      */
  /* set prefix for printing */

  str_leng = 0;
  for (i = 0; i < 16; i++) prefix[str_leng++] = ' ';
  for (i = 0 ; i < options[AZ_recursion_level]; i++ ) {
    prefix[str_leng++] = ' '; prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
    prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
  }
  prefix[str_leng] = '\0';


  /* pull needed values out of parameter arrays */

  data_org = Amat->data_org;

  N            = data_org[AZ_N_internal] + data_org[AZ_N_border];


  precond_flag = options[AZ_precond];
  proc         = proc_config[AZ_node];
  print_freq   = options[AZ_print_freq];

  /* Initialize some values in convergence info struct */
  convergence_info->print_info = print_freq;
  convergence_info->iteration = 0;
  convergence_info->sol_updated = 1; /* CG always updates solution */
  convergence_info->epsilon = params[AZ_tol]; /* Test against this */

  /* allocate space for necessary vectors */

  NN = N + data_org[AZ_N_external];
  if (NN == 0) NN++;  /* make sure everybody allocates something */
  NN = NN + (NN%2);   /* make sure things are aligned for assembly */
                      /* matvec on paragon. */



  sprintf(label,"z%s",suffix);
  p  = (double *) AZ_manage_memory(4*NN*sizeof(double),AZ_ALLOC,
                                   AZ_SYS+az_iterate_id, label, &j);
  r  = &(p[1*NN]);
  z  = &(p[2*NN]);
  ap = &(p[3*NN]);

  AZ_compute_residual(b, x, r, proc_config, Amat);

  if (options[AZ_apply_kvecs]) {
    AZ_compute_global_scalars(Amat, x, b, r,
                              weight, &rec_residual, &scaled_r_norm, options,
                              data_org, proc_config, &r_avail,NULL, NULL, &r_z_dot,
                              convergence_info);
    AZ_space_for_kvecs(AZ_OLD_ADDRESS, &kvec_sizes, &saveme,
                       &ptap, options, data_org, suffix,
                       proc_config[AZ_node], &block);
    dots = (double *) AZ_allocate(2*kvec_sizes[AZ_Nkept]*sizeof(double));
    if (dots == NULL) {
      printf("Not space to apply vectors in CG\n");
      exit(1);
    }
    DGEMV_F77(CHAR_MACRO(T[0]),&N,&(kvec_sizes[AZ_Nkept]),&doubleone,block,&N, r, &one, &dzero, dots, &one);
    AZ_gdot_vec(kvec_sizes[AZ_Nkept], dots, &(dots[kvec_sizes[AZ_Nkept]]), proc_config);
    for (i = 0; i < kvec_sizes[AZ_Nkept]; i++) dots[i] = dots[i]/ptap[i];
    DGEMV_F77(CHAR_MACRO(T2[0]), &N, &(kvec_sizes[AZ_Nkept]), &doubleone, block, &N, dots, &one, &doubleone,
              x,  &one);

    AZ_free(dots);
    AZ_compute_residual(b, x, r, proc_config, Amat);
    if ((options[AZ_output] != AZ_none) && (proc == 0))
      printf("\t\tApplied Previous Krylov Vectors ... \n\n");
  }
  if (options[AZ_keep_kvecs] > 0)
    AZ_space_for_kvecs(AZ_NEW_ADDRESS, &kvec_sizes, &saveme,
                       &ptap, options, data_org, suffix,
                       proc_config[AZ_node], &block);



  /*  z = M r */
  /*  p = 0   */

  DCOPY_F77(&N, r, &one, z, &one);
  status[AZ_first_precond] = AZ_second();
  if (precond_flag)
    precond->prec_function(z,options,proc_config,params,Amat,precond);

  status[AZ_first_precond] = AZ_second() - status[AZ_first_precond];

  for (i = 0; i < N; i++ ) p[i] = 0.0;

  /* compute a few global scalars:                                 */
  /*     1) ||r||                corresponding to options[AZ_conv] */
  /*     2) scaled ||r||         corresponding to options[AZ_conv] */
  /*     3) r_z_dot = <z, r>                                       */

  AZ_compute_global_scalars(Amat, x, b, r,
                            weight, &rec_residual, &scaled_r_norm, options,
                            data_org, proc_config, &r_avail,r, z, &r_z_dot,
                            convergence_info);
  true_scaled_r = scaled_r_norm;

  if ((options[AZ_output] != AZ_none) &&
      (options[AZ_output] != AZ_last) &&
      (options[AZ_output] != AZ_warnings) &&
      (options[AZ_output] != AZ_summary) &&
      (options[AZ_conv]!=AZTECOO_conv_test) && (proc == 0))
    {
      (void) AZ_printf_out("%siter:    0           residual = %e\n",
                     prefix,scaled_r_norm);
      AZ_flush_out();
    }


  for (iter = 1; iter <= options[AZ_max_iter] && !(convergence_info->converged) && 
	 !(convergence_info->isnan); iter++ ) {
    convergence_info->iteration = iter;

    /* p  = z + beta * p */
    /* ap = A p          */

    for (i = 0; i < N; i++) p[i] = z[i] + beta * p[i];
    Amat->matvec(p, ap, Amat, proc_config);

    if ((options[AZ_orth_kvecs]) && (kvec_sizes != NULL)) {
      for (i = 0; i < current_kept; i++) {
        alpha = -AZ_gdot(N, ap, saveme[i], proc_config)/ptap[i];
        DAXPY_F77(&N, &alpha,  saveme[i],  &one, p, &one);
      }
      if (current_kept > 0) Amat->matvec(p, ap, Amat, proc_config);
    }

    p_ap_dot = AZ_gdot(N, p, ap, proc_config);
    if (p_ap_dot < brkdown_tol) {

      /* possible problem */

      if (p_ap_dot < 0 || AZ_breakdown_f(N, p, ap, p_ap_dot, proc_config)) {

        /* something wrong */

        AZ_scale_true_residual(x, b, ap,
                               weight, &actual_residual, &true_scaled_r,
                               options, data_org, proc_config, Amat,
                               convergence_info);
        AZ_terminate_status_print(AZ_breakdown, iter, status, rec_residual,
                                  params, true_scaled_r, actual_residual,
                                  options, proc_config);
        return;
      }
      else brkdown_tol = 0.1 * p_ap_dot;
    }

    alpha  = r_z_dot / p_ap_dot;
    nalpha = -alpha;

    /* x = x + alpha*p  */
    /* r = r - alpha*Ap */
    /* z = M^-1 r       */

    DAXPY_F77(&N, &alpha,  p,  &one, x, &one);

    if (iter <= options[AZ_keep_kvecs]) {
      DCOPY_F77(&N, p, &one, saveme[iter-1], &one);
      ptap[iter-1] = p_ap_dot ;
      kvec_sizes[AZ_Nkept]++;
      current_kept = kvec_sizes[AZ_Nkept];
    }
    /*
      else {
      i = (iter-1)%options[AZ_keep_kvecs];
      DCOPY_F77(&N, p, &one, saveme[i], &one);
      ptap[i] = p_ap_dot ;
      }
    */
    DAXPY_F77(&N, &nalpha, ap, &one, r, &one);
    DCOPY_F77(&N, r, &one, z, &one);

    if (precond_flag) precond->prec_function(z,options,proc_config,params,Amat,precond);

    r_z_dot_old = r_z_dot;

    /* compute a few global scalars:                                 */
    /*     1) ||r||                corresponding to options[AZ_conv] */
    /*     2) scaled ||r||         corresponding to options[AZ_conv] */
    /*     3) r_z_dot = <z, r>                                       */

    AZ_compute_global_scalars(Amat, x, b, r,
                              weight, &rec_residual, &scaled_r_norm, options,
                              data_org, proc_config, &r_avail, r, z, &r_z_dot,
                              convergence_info);

    if (brkdown_will_occur) {
      AZ_scale_true_residual( x, b, ap,
                              weight, &actual_residual, &true_scaled_r, options,
                              data_org, proc_config, Amat,convergence_info);
      AZ_terminate_status_print(AZ_breakdown, iter, status, rec_residual,
                                params, true_scaled_r, actual_residual, options,
                                proc_config);
      return;
    }

    beta = r_z_dot / r_z_dot_old;

    if (fabs(r_z_dot) < brkdown_tol) {

      /* possible problem */

      if (AZ_breakdown_f(N, r, z, r_z_dot, proc_config))
        brkdown_will_occur = AZ_TRUE;
      else
        brkdown_tol = 0.1 * fabs(r_z_dot);
    }

    if ( (iter%print_freq == 0) && (options[AZ_conv]!=AZTECOO_conv_test) && proc == 0 )
      {
        (void) AZ_printf_out("%siter: %4d           residual = %e\n", prefix, iter,
                       scaled_r_norm);
        AZ_flush_out();
      }

    /* convergence tests */

    if (options[AZ_check_update_size] & convergence_info->converged)
      convergence_info->converged = AZ_compare_update_vs_soln(N, -1.,alpha, p, x,
							      params[AZ_update_reduction],
							      options[AZ_output], proc_config, &first_time);


    if (convergence_info->converged) {
      AZ_scale_true_residual(x, b, ap,
                             weight, &actual_residual, &true_scaled_r, options,
                             data_org, proc_config, Amat, convergence_info);
      
      
      
      /*
       * Note: epsilon and params[AZ_tol] may not be equal due to a previous
       * call to AZ_get_new_eps().
       */
      
      if (!(convergence_info->converged) && options[AZ_conv]!=AZTECOO_conv_test) {

	if (AZ_get_new_eps(&(convergence_info->epsilon), scaled_r_norm, true_scaled_r,
			   options, proc_config) == AZ_QUIT) {

	  /*
	   * Computed residual has converged, actual residual has not converged,
	   * AZ_get_new_eps() has decided that it is time to quit.
	   */
	  
	  AZ_terminate_status_print(AZ_loss, iter, status, rec_residual, params,
				    true_scaled_r, actual_residual, options,
				    proc_config);
	  return;
	}
      }
    }
  }
  iter--;
  if ( (iter%print_freq != 0) && (proc == 0) && (options[AZ_output] != AZ_none)
       && (options[AZ_output] != AZ_warnings) &&
      (options[AZ_conv]!=AZTECOO_conv_test) )
    {
      (void) AZ_printf_out("%siter: %4d           residual = %e\n", prefix, iter,
                     scaled_r_norm);
      AZ_flush_out();
    }

  /* check if we exceeded maximum number of iterations */

  if (convergence_info->converged) {
    i = AZ_normal; scaled_r_norm = true_scaled_r; }
  else if (convergence_info->isnan) i = AZ_breakdown;
  else
    i = AZ_maxits;

  AZ_terminate_status_print(i, iter, status, rec_residual, params,
                            scaled_r_norm, actual_residual, options,
                            proc_config);

} /* AZ_pcg */
コード例 #4
0
ファイル: az_qmrcgs.c プロジェクト: yejiyang/ye-vep
void AZ_pqmrs(double b[], double x[], double weight[], int options[], 
	double params[], int proc_config[], double status[], AZ_MATRIX *Amat, 
	AZ_PRECOND *precond, struct AZ_CONVERGE_STRUCT *convergence_info)

/*******************************************************************************

  Freund's transpose free QMR routine to solve the nonsymmetric matrix problem
  Ax = b. NOTE: this routine differs from Freund's paper in that we compute
  ubar (= M^-1 u ) and qbar (= M^-1 q) instead of u and q defined in Freund's
  paper.

  IMPORTANT NOTE: While an estimate of the 2-norm of the qmr residual is
  available (see comment below), the actual qmr residual is not normally
  computed as part of the qmr algorithm. Thus, if the user uses a convergence
  condition (see AZ_compute_global_scalars()) that is based on the 2-norm of the
  residual there is no need to compute the residual (i.e. r_avail = AZ_FALSE).
  However, if another norm of r is requested, AZ_compute_global_scalars() will
  set r_avail = AZ_TRUE and the algorithm will compute the residual.

  Author:          John N. Shadid, SNL, 1421
  =======

  Return code:     void
  ============

  Parameter list:
  ===============

  b:               Right hand side of linear system.

  x:               On input, contains the initial guess. On output contains the
                   solution to the linear system.

  weight:          Vector of weights for convergence norm #4.

  options:         Determines specific solution method and other parameters.

  params:          Drop tolerance and convergence tolerance info.

  proc_config:     Machine configuration.  proc_config[AZ_node] is the node
                   number.  proc_config[AZ_N_procs] is the number of processors.

  status:          On output, indicates termination status:
                    0:  terminated normally.
                   -1:  maximum number of iterations taken without achieving
                        convergence.
                   -2:  Breakdown. The algorithm can not proceed due to
                        numerical difficulties (usually a divide by zero).
                   -3:  Internal residual differs from the computed residual due
                        to a significant loss of precision.

  Amat:            Structure used to represent the matrix (see az_aztec.h
                   and Aztec User's Guide).
  Oprecond:         Structure used to represent the preconditionner
                   (see file az_aztec.h and Aztec User's Guide).

*******************************************************************************/

{

  /* local variables */

  register int    i;
  int             N, NN, converged, one = 1, iter= 1,r_avail = AZ_FALSE, j;
  int             precond_flag, print_freq, proc;
  int             brkdown_will_occur = AZ_FALSE;
  double          alpha, beta = 0.0, true_scaled_r=0.0;
  double          *ubar, *v, *r_cgs, *rtilda, *Aubar, *qbar, *Aqbar, *d, *Ad = NULL;
  double          rhonm1, rhon, est_residual, actual_residual = -1.0;
  double          scaled_r_norm, sigma, epsilon, brkdown_tol = DBL_EPSILON;
  double          omega, c, norm_r_n_cgs, norm_r_nm1_cgs;
  double          tau_m, nu_m, eta_m, init_time = 0.0;
  double          tau_mm1, nu_mm1 = 0.0, eta_mm1 = 0.0, doubleone = 1.0;
  register double dtemp;
  double          W_norm = 0.0;
  int             offset = 0;
  int          *data_org, str_leng, first_time = AZ_TRUE;
  char         label[64],suffix[32], prefix[64];

  /**************************** execution begins ******************************/

  sprintf(suffix," in qmrcgs%d",options[AZ_recursion_level]);
                                                /* set string that will be used */
                                                /* for manage_memory label      */
  /* set prefix for printing */

  str_leng = 0;
  for (i = 0; i < 16; i++) prefix[str_leng++] = ' ';
  for (i = 0 ; i < options[AZ_recursion_level]; i++ ) {
     prefix[str_leng++] = ' '; prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
     prefix[str_leng++] = ' '; prefix[str_leng++] = ' ';
  }
  prefix[str_leng] = '\0';

  data_org = Amat->data_org;

  /* pull needed values out of parameter arrays */

  N            = data_org[AZ_N_internal] + data_org[AZ_N_border];
  precond_flag = options[AZ_precond];
  epsilon      = params[AZ_tol];
  proc         = proc_config[AZ_node];
  print_freq   = options[AZ_print_freq];

  /* allocate memory for required vectors */

  NN     = N + data_org[AZ_N_external];
  if (NN == 0) NN++; /* make sure everyone allocates something */
  NN = NN + (NN%2);
      /* make sure things are aligned on double words for paragon */


  sprintf(label,"ubar%s",suffix);
  ubar   = (double *) AZ_manage_memory(8*NN*sizeof(double),
				      AZ_ALLOC,AZ_SYS,label,&j);
  v      = &(ubar[1*NN]);
  Aubar  = &(ubar[2*NN]);
  d      = &(ubar[3*NN]);
  qbar   = &(ubar[4*NN]);
  rtilda = &(ubar[5*NN]);
  Aqbar  = &(ubar[6*NN]);
  r_cgs  = &(ubar[7*NN]);

  AZ_compute_residual(b, x, r_cgs, proc_config, Amat);

  /* d, qbar, Aqbar, v = 0 */

  for (i = 0; i < N; i++)
    d[i] = qbar[i] = Aqbar[i] = v[i] = 0.0;

  /* set rtilda */

  if (options[AZ_aux_vec] == AZ_resid) dcopy_(&N, r_cgs, &one, rtilda, &one);
  else AZ_random_vector(rtilda, data_org, proc_config);

  /*
   * Compute a few global scalars:
   *     1) ||r_cgs||              corresponding to options[AZ_conv]
   *     2) scaled ||r_cgs||       corresponding to options[AZ_conv]
   *     3) rhon = <rtilda, r_cgs>
   * Note: step 1) is performed if r_avail = AZ_TRUE on entry or
   *       AZ_FIRST_TIME is passed in. Otherwise, ||r_cgs|| is taken as
   *       est_residual.
   */

  AZ_compute_global_scalars(Amat, x, b, r_cgs,
                            weight, &est_residual, &scaled_r_norm, options,
                            data_org, proc_config, &r_avail, r_cgs, rtilda,
                            &rhon, convergence_info);
  true_scaled_r = scaled_r_norm;

  if ((options[AZ_output] != AZ_none) && (options[AZ_output] != AZ_last) &&
      (options[AZ_output] != AZ_warnings) && (proc == 0))
    (void) fprintf(stdout, "%siter:    0           residual = %e\n",prefix,scaled_r_norm);

  norm_r_nm1_cgs = est_residual;
  tau_mm1        = norm_r_nm1_cgs;
  rhonm1         = rhon;

  /* Set up aux-vector if we need to compute the qmr residual */

  if (r_avail) {
    sprintf(label,"Ad%s",suffix);
    Ad = (double *) AZ_manage_memory(NN*sizeof(double),AZ_ALLOC,
				     AZ_SYS, label, &j);
    for (i = 0; i < N; i++) Ad[i] = 0.0;
  }

  converged = scaled_r_norm < epsilon;

  for (iter = 1; iter <= options[AZ_max_iter] && !converged; iter++) {

    if (fabs(rhon) < brkdown_tol) { /* possible breakdown problem */

      if (AZ_breakdown_f(N, r_cgs, rtilda, rhon, proc_config))
        brkdown_will_occur = AZ_TRUE;
      else
        brkdown_tol = 0.1 * fabs(rhon);
    }

    /* ubar  = M^-1 r_cgs + beta*qbar               */
    /* Aubar = A ubar                               */
    /* v     = A ubar + beta ( A qbar + beta pnm1 ) */
    /*       = Aubar  + beta ( Aqbar +  beta v)     */

    dcopy_(&N, r_cgs, &one, ubar, &one);

    if (iter==1) init_time = AZ_second();

    if (precond_flag)
    precond->prec_function(ubar,options,proc_config,params,Amat,precond);

    if (iter==1) status[AZ_first_precond] = AZ_second() - init_time;

    for (i = 0; i < N; i++) ubar[i] = ubar[i] + beta * qbar[i];

    Amat->matvec(ubar, Aubar, Amat, proc_config);

    daxpy_(&N, &beta, v, &one, Aqbar, &one);
    for (i = 0; i < N; i++) v[i] = Aubar[i] + beta * Aqbar[i];

    sigma = AZ_gdot(N, rtilda, v, proc_config);

    if (fabs(sigma) < brkdown_tol) { /* possible problem */
      if (AZ_breakdown_f(N, rtilda, v, sigma, proc_config)) {

        /* break down */

        AZ_scale_true_residual(x, b, v,
                               weight, &actual_residual, &true_scaled_r,
                               options, data_org, proc_config, Amat,
			       convergence_info);

        AZ_terminate_status_print(AZ_breakdown, iter, status, est_residual,
                                  params, true_scaled_r, actual_residual,
                                  options, proc_config);
        return;
      }
      else brkdown_tol = 0.1 * fabs(sigma);
    }

    alpha = rhon / sigma;

    /* qbar  = ubar - alpha* M^-1 v            */
    /* Aqbar = A qbar                          */
    /* r_cgs = r_cgs - alpha (A ubar + A qbar) */
    /*       = r_cgs - alpha (Aubar + Aqbar)   */

    dcopy_(&N, v, &one, qbar, &one);

    if (precond_flag)
    precond->prec_function(qbar,options,proc_config,params,Amat,precond);

    for (i = 0; i < N; i++) qbar[i] = ubar[i] - alpha * qbar[i];
    Amat->matvec(qbar, Aqbar, Amat, proc_config);

    for (i = 0; i < N; i++) r_cgs[i] = r_cgs[i] - alpha*(Aubar[i] + Aqbar[i]);

    /* QMRS scaling and iterates weights 5.11 */

    norm_r_n_cgs = sqrt(AZ_gdot(N, r_cgs, r_cgs, proc_config));

    /* m is odd in Freund's paper */

    omega = sqrt(norm_r_nm1_cgs * norm_r_n_cgs);
    nu_m  = omega / tau_mm1;
    c     = 1.0 / sqrt(1.0 + nu_m * nu_m);
    tau_m = tau_mm1 * nu_m * c;
    eta_m = c * c * alpha;

    if (brkdown_will_occur) {
      AZ_scale_true_residual(x, b, v,
                             weight, &actual_residual, &true_scaled_r, options,
                             data_org, proc_config, Amat, convergence_info);

      AZ_terminate_status_print(AZ_breakdown, iter, status, est_residual,
                                params, true_scaled_r, actual_residual, options,
                                proc_config);
      return;
    }

    dtemp = nu_mm1 *nu_mm1 * eta_mm1 / alpha;
    for (i = 0; i < N; i++) d[i] = ubar[i] + dtemp * d[i];
    daxpy_(&N, &eta_m, d, &one, x, &one); /* x = x - eta_m d  */

    if (r_avail) {
      for (i = 0; i < N; i++) Ad[i] = Aubar[i] + dtemp * Ad[i];
    }

    /* save some values */

    eta_mm1 = eta_m;  tau_mm1        = tau_m;
    nu_mm1  = nu_m;   norm_r_nm1_cgs = norm_r_n_cgs;

    /* m is even in Freund's paper */

    omega = norm_r_n_cgs;

    if (tau_mm1 == 0.0) nu_m = 0.0;
    else                nu_m  = omega / tau_mm1;

    c     = 1.0 / sqrt(1.0 + nu_m * nu_m);
    tau_m = tau_mm1 * nu_m * c;

    if (options[AZ_check_update_size]) {
       eta_m = eta_m/(c*c*alpha);
       for (i = 0; i < N; i++) ubar[i] = eta_m*d[i];
    }
    eta_m = c * c * alpha;

    dtemp = nu_mm1 * nu_mm1 * eta_mm1 / alpha;
    for (i = 0; i < N; i++) d[i] = qbar[i] + dtemp * d[i];
    daxpy_(&N, &eta_m, d, &one, x, &one); /* x = x - eta_m d  */

    if (r_avail) {
      for (i = 0; i < N; i++) Ad[i] = Aqbar[i] + dtemp * Ad[i];
    }

    /* save some values */

    eta_mm1 = eta_m;  tau_mm1        = tau_m;
    nu_mm1  = nu_m;   norm_r_nm1_cgs = norm_r_n_cgs;
    rhonm1  = rhon;

    if (r_avail) {
      for (i = 0; i < N; i++) Aubar[i] = r_cgs[i] - (eta_m - alpha) * Ad[i];

      /* Note: Aubar temporarily holds qmr residual */

    }
    else {

      /*
       * We want to estimate the 2-norm of the qmr residual. Freund gives the
       * bound ||r|| <= tau_m * sqrt(2*iter+1).  We use this bound until we get
       * close to the solution. At that point we compute the real residual norm
       * and use this to estimate the norm of ||W|| in Freund's paper.
       */

      dtemp = sqrt((double) (2 * iter + 1));

      if ((scaled_r_norm < epsilon * dtemp) && !offset) {
        AZ_scale_true_residual(x, b,
                               Aubar, weight, &actual_residual, &true_scaled_r,
                               options, data_org, proc_config, Amat,
			       convergence_info);

        if (tau_m != 0.0) W_norm = actual_residual / tau_m;
        if (W_norm < 1.0) W_norm = 1.0;

        offset       = 2 * iter + 1;
        est_residual = actual_residual;
      }
      else est_residual = sqrt((double)(2 * iter + 1 - offset) +
                               W_norm * W_norm) * tau_m;
    }

    /*
     * Compute a few global scalars:
     *     1) ||r||                corresponding to options[AZ_conv]
     *     2) scaled ||r||         corresponding to options[AZ_conv]
     *     3) rhon = <rtilda, r_cgs>
     * Note: step 1) is performed if r_avail = AZ_TRUE or AZ_FIRST_TIME
     *       is passed in. Otherwise, ||r|| is taken as est_residual.
     */

    AZ_compute_global_scalars(Amat, x, b,
                              Aubar, weight, &est_residual, &scaled_r_norm,
                              options, data_org, proc_config, &r_avail, rtilda,
                              r_cgs, &rhon, convergence_info);

    if ( (iter%print_freq == 0) && proc == 0 )
      (void) fprintf(stdout, "%siter: %4d           residual = %e\n",prefix,iter,
                     scaled_r_norm);

    /* convergence tests */

    converged = scaled_r_norm < epsilon;
    if (options[AZ_check_update_size] & converged) {
      daxpy_(&N, &doubleone , d, &one, ubar, &one); 
      converged = AZ_compare_update_vs_soln(N, -1.,eta_m, ubar, x,
                                           params[AZ_update_reduction],
                                           options[AZ_output], proc_config, &first_time);
    }

    if (converged) {
      AZ_scale_true_residual(x, b, Aubar,
                             weight, &actual_residual, &true_scaled_r, options,
                             data_org, proc_config, Amat,convergence_info);

      converged = true_scaled_r < params[AZ_tol];

      /*
       * Note: epsilon and params[AZ_tol] may not be equal due to a previous
       * call to AZ_get_new_eps().
       */

      if (!converged  &&
          (AZ_get_new_eps(&epsilon, scaled_r_norm, true_scaled_r,
                          proc_config) == AZ_QUIT)) {

        /*
         * Computed residual has converged, actual residual has not converged,
         * AZ_get_new_eps() has decided that it is time to quit.
         */

        AZ_terminate_status_print(AZ_loss, iter, status, est_residual, params,
                                  true_scaled_r, actual_residual, options,
                                  proc_config);
        return;
      }
    }

    beta = rhon / rhonm1;
  }

  iter--;

  if ( (iter%print_freq != 0) && (proc == 0) && (options[AZ_output] != AZ_none)
       && (options[AZ_output] != AZ_warnings))
    (void) fprintf(stdout, "%siter: %4d           residual = %e\n",prefix,iter,
                   scaled_r_norm);

  /* check if we exceeded maximum number of iterations */

  if (converged) {
    i = AZ_normal;
    scaled_r_norm = true_scaled_r;
  }
  else
    i = AZ_maxits;

  AZ_terminate_status_print(i, iter, status, est_residual, params,
                            scaled_r_norm, actual_residual, options,
                            proc_config);

} /* pqmrs */