- bx_normTo evaluate |Bx| for the eigenvalue
C++ Type:PostprocessorName
Description:To evaluate |Bx| for the eigenvalue
InversePowerMethod
under construction:Undocumented Class
The InversePowerMethod has not been documented, if you would like to contribute to MOOSE by writing documentation, please see Documenting MOOSE. The content contained on this page explains the typical documentation associated with a MooseObject; however, what is contained is ultimately determined by what is necessary to make the documentation clear for users.
!syntax description /Executioner/InversePowerMethod
Input Parameters
- xdiffTo evaluate |x-x_previous| for power iterations
C++ Type:PostprocessorName
Description:To evaluate |x-x_previous| for power iterations
- line_search_packagepetscThe solver package to use to conduct the line-search
Default:petsc
C++ Type:MooseEnum
Description:The solver package to use to conduct the line-search
- pfactor0.01Reduce residual norm per power iteration by this factor
Default:0.01
C++ Type:double
Description:Reduce residual norm per power iteration by this factor
- petsc_options_valueValues of PETSc name/value pairs (must correspond with "petsc_options_iname"
C++ Type:std::vector
Description:Values of PETSc name/value pairs (must correspond with "petsc_options_iname"
- petsc_options_inameNames of PETSc name/value pairs
C++ Type:MultiMooseEnum
Description:Names of PETSc name/value pairs
- petsc_optionsSingleton PETSc options
C++ Type:MultiMooseEnum
Description:Singleton PETSc options
- splittingTop-level splitting defining a hierarchical decomposition into subsystems to help the solver.
C++ Type:std::vector
Description:Top-level splitting defining a hierarchical decomposition into subsystems to help the solver.
- line_searchdefaultSpecifies the line search type (Note: none = basic)
Default:default
C++ Type:MooseEnum
Description:Specifies the line search type (Note: none = basic)
- Chebyshev_acceleration_onTrueIf Chebyshev acceleration is turned on
Default:True
C++ Type:bool
Description:If Chebyshev acceleration is turned on
- contact_line_search_ltolThe linear relative tolerance to be used while the contact state is changing between non-linear iterations. We recommend that this tolerance be looser than the standard linear tolerance
C++ Type:double
Description:The linear relative tolerance to be used while the contact state is changing between non-linear iterations. We recommend that this tolerance be looser than the standard linear tolerance
- k01Initial guess of the eigenvalue
Default:1
C++ Type:double
Description:Initial guess of the eigenvalue
- eig_check_tol1e-06Eigenvalue convergence tolerance
Default:1e-06
C++ Type:double
Description:Eigenvalue convergence tolerance
- solve_typePJFNK: 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
C++ Type:MooseEnum
Description: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
- mffd_typewpSpecifies the finite differencing type for Jacobian-free solve types. Note that the default is wp (for Walker and Pernice).
Default:wp
C++ Type:MooseEnum
Description:Specifies the finite differencing type for Jacobian-free solve types. Note that the default is wp (for Walker and Pernice).
- min_power_iterations1Minimum number of power iterations
Default:1
C++ Type:unsigned int
Description:Minimum number of power iterations
- contact_line_search_allowed_lambda_cuts2The number of times lambda is allowed to be cut in half in the contact line search. We recommend this number be roughly bounded by 0 <= allowed_lambda_cuts <= 3
Default:2
C++ Type:unsigned int
Description:The number of times lambda is allowed to be cut in half in the contact line search. We recommend this number be roughly bounded by 0 <= allowed_lambda_cuts <= 3
- sol_check_tol1.79769e+308Convergence tolerance on |x-x_previous| when provided
Default:1.79769e+308
C++ Type:double
Description:Convergence tolerance on |x-x_previous| when provided
- max_power_iterations300The maximum number of power iterations
Default:300
C++ Type:unsigned int
Description:The maximum number of power iterations
Optional Parameters
- no_fe_reinitFalseSpecifies whether or not to reinitialize FEs
Default:False
C++ Type:bool
Description:Specifies whether or not to reinitialize FEs
- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector
Description:Adds user-defined labels for accessing object parameters via control logic.
- enableTrueSet the enabled status of the MooseObject.
Default:True
C++ Type:bool
Description:Set the enabled status of the MooseObject.
- time0System time
Default:0
C++ Type:double
Description:System time
- auto_initializationTrueTrue to ask the solver to set initial
Default:True
C++ Type:bool
Description:True to ask the solver to set initial
Advanced Parameters
- l_abs_step_tol-1Linear Absolute Step Tolerance
Default:-1
C++ Type:double
Description:Linear Absolute Step Tolerance
- nl_abs_tol1e-50Nonlinear Absolute Tolerance
Default:1e-50
C++ Type:double
Description:Nonlinear Absolute Tolerance
- nl_max_its50Max Nonlinear Iterations
Default:50
C++ Type:unsigned int
Description:Max Nonlinear Iterations
- l_max_its10000Max Linear Iterations
Default:10000
C++ Type:unsigned int
Description:Max Linear Iterations
- compute_initial_residual_before_preset_bcsFalseUse the residual norm computed *before* PresetBCs are imposed in relative convergence check
Default:False
C++ Type:bool
Description:Use the residual norm computed *before* PresetBCs are imposed in relative convergence check
- nl_rel_tol1e-08Nonlinear Relative Tolerance
Default:1e-08
C++ Type:double
Description:Nonlinear Relative Tolerance
- l_tol1e-05Linear Tolerance
Default:1e-05
C++ Type:double
Description:Linear Tolerance
- nl_max_funcs10000Max Nonlinear solver function evaluations
Default:10000
C++ Type:unsigned int
Description:Max Nonlinear solver function evaluations
- nl_rel_step_tol1e-50Nonlinear Relative step Tolerance
Default:1e-50
C++ Type:double
Description:Nonlinear Relative step Tolerance
- nl_abs_step_tol1e-50Nonlinear Absolute step Tolerance
Default:1e-50
C++ Type:double
Description:Nonlinear Absolute step Tolerance
Solver Parameters
- normal_factorNormalize x to make |x| equal to this factor
C++ Type:double
Description:Normalize x to make |x| equal to this factor
- output_before_normalizationTrueTrue to output a step before normalization
Default:True
C++ Type:bool
Description:True to output a step before normalization
- normalizationTo evaluate |x| for normalization
C++ Type:PostprocessorName
Description:To evaluate |x| for normalization