void
CreateExecutionerAction::populateCommonExecutionerParams(InputParameters & params)
{
MooseEnum solve_type("PJFNK JFNK NEWTON FD LINEAR");
params.addParam<MooseEnum> ("solve_type", solve_type,
"PJFNK: Preconditioned Jacobian-Free Newton Krylov "
"JFNK: Jacobian-Free Newton Krylov "
"NEWTON: Full Newton Solve "
"FD: Use finite differences to compute Jacobian "
"LINEAR: Solving a linear problem");
// Line Search Options
#ifdef LIBMESH_HAVE_PETSC
#if PETSC_VERSION_LESS_THAN(3,3,0)
MooseEnum line_search("default cubic quadratic none basic basicnonorms", "default");
#else
MooseEnum line_search("default shell none basic l2 bt cp", "default");
#endif
std::string addtl_doc_str(" (Note: none = basic)");
#else
MooseEnum line_search("default", "default");
std::string addtl_doc_str("");
#endif
params.addParam<MooseEnum> ("line_search", line_search, "Specifies the line search type" + addtl_doc_str);
#ifdef LIBMESH_HAVE_PETSC
MultiMooseEnum common_petsc_options("", "", true);
params.addParam<MultiMooseEnum>("petsc_options", common_petsc_options, "Singleton PETSc options");
params.addParam<std::vector<std::string> >("petsc_options_iname", "Names of PETSc name/value pairs");
params.addParam<std::vector<std::string> >("petsc_options_value", "Values of PETSc name/value pairs (must correspond with \"petsc_options_iname\"");
#endif //LIBMESH_HAVE_PETSC
}
InputParameters
validParams<ActuallyExplicitEuler>()
{
InputParameters params = validParams<TimeIntegrator>();
MooseEnum solve_type("consistent lumped lump_preconditioned", "consistent");
params.addParam<MooseEnum>(
"solve_type",
solve_type,
"The way to solve the system. A 'consistent' solve uses the full mass matrix and actually "
"needs to use a linear solver to solve the problem. 'lumped' uses a lumped mass matrix with "
"a simple inversion - incredibly fast but may be less accurate. 'lump_preconditioned' uses "
"the lumped mass matrix as a preconditioner for the 'consistent' solve");
params.addClassDescription(
"Implementation of Explicit/Forward Euler without invoking any of the nonlinear solver");
return params;
}
