diff --git a/LDDsimulation/LDDsimulation.py b/LDDsimulation/LDDsimulation.py index 41c91bb0e4597f5c41fcf959e462a2ed1bfb88ae..fdc977f9fda9a8b05675e0b7feddb50dd5cfd1d5 100644 --- a/LDDsimulation/LDDsimulation.py +++ b/LDDsimulation/LDDsimulation.py @@ -172,15 +172,15 @@ class LDDsimulation(object): self.solver_type_is_Krylov = True ### Define the linear solver to be used. if self.solver_type_is_Krylov: - self.solver = 'bicgstab'#'superlu' #'gmres'#'bicgstab' # biconjugate gradient stabilized method - self.preconditioner = 'jacobi' #'hypre_amg' 'default' #'ilu'#'hypre_amg' # incomplete LU factorization + self.solver = 'gmres' #'bicgstab'#'superlu' #'gmres'#'bicgstab' # biconjugate gradient stabilized method + self.preconditioner = 'ilu'#'jacobi' #'hypre_amg' 'default' #'ilu'#'hypre_amg' # incomplete LU factorization # dictionary of solver parametrs. This is passed to self._init_subdomains, # where for each subdomain a sovler object of type self.solver is created # with these parameters. self.solver_parameters = { 'nonzero_initial_guess': True, 'absolute_tolerance': 1E-14, - 'relative_tolerance': 1E-12, + 'relative_tolerance': 1E-11, 'maximum_iterations': 1000, 'report': False, 'monitor_convergence': False