- 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
- 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
- eigen_max_its10000Max Iterations for Eigen Solver
Default:10000
C++ Type:unsigned int
Description:Max Iterations for Eigen Solver
- eigen_problem_typeType of the eigenvalue problem we are solving HERMITIAN: Hermitian NON_HERMITIAN: Non-Hermitian GEN_HERMITIAN: Generalized Hermitian GEN_NON_HERMITIAN: Generalized Non-Hermitian GEN_INDEFINITE: Generalized indefinite Hermitian POS_GEN_NON_HERMITIAN: Generalized Non-Hermitian with positive (semi-)definite B SLEPC_DEFAULT: Use whatever SLEPC has by default
C++ Type:MooseEnum
Description:Type of the eigenvalue problem we are solving HERMITIAN: Hermitian NON_HERMITIAN: Non-Hermitian GEN_HERMITIAN: Generalized Hermitian GEN_NON_HERMITIAN: Generalized Non-Hermitian GEN_INDEFINITE: Generalized indefinite Hermitian POS_GEN_NON_HERMITIAN: Generalized Non-Hermitian with positive (semi-)definite B SLEPC_DEFAULT: Use whatever SLEPC has by default
- eigen_tol0.0001Relative Tolerance for Eigen Solver
Default:0.0001
C++ Type:double
Description:Relative Tolerance for Eigen Solver
- free_power_iterations4The number of free power iterations
Default:4
C++ Type:unsigned int
Description:The number of free power iterations
- l_abs_tol1e-50Absolute Tolerances for Linear Solver
Default:1e-50
C++ Type:double
Description:Absolute Tolerances for Linear Solver
- line_searchdefaultSpecifies the line search type (Note: none = basic)
Default:default
C++ Type:MooseEnum
Description:Specifies the line search type (Note: none = basic)
- 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
- max_xfem_update4294967295Maximum number of times to update XFEM crack topology in a step due to evolving cracks
Default:4294967295
C++ Type:unsigned int
Description:Maximum number of times to update XFEM crack topology in a step due to evolving cracks
- 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).
- n_basis_vectors3The dimension of eigen subspaces
Default:3
C++ Type:unsigned int
Description:The dimension of eigen subspaces
- n_eigen_pairs1The number of eigen pairs
Default:1
C++ Type:unsigned int
Description:The number of eigen pairs
- nl_div_tol-1Nonlinear Divergence Tolerance
Default:-1
C++ Type:double
Description:Nonlinear Divergence Tolerance
- normal_factor1Normalize eigenvector to make a defined norm equal to this factor
Default:1
C++ Type:double
Description:Normalize eigenvector to make a defined norm equal to this factor
- normalizationPostprocessor evaluating norm of eigenvector for normalization
C++ Type:PostprocessorName
Description:Postprocessor evaluating norm of eigenvector for normalization
- petsc_optionsSingleton PETSc options
C++ Type:MultiMooseEnum
Description:Singleton PETSc options
- petsc_options_inameNames of PETSc name/value pairs
C++ Type:MultiMooseEnum
Description:Names of PETSc name/value pairs
- 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"
- skip_exception_checkFalseSpecifies whether or not to skip exception check
Default:False
C++ Type:bool
Description:Specifies whether or not to skip exception check
- solve_typePOWER: Power / Inverse / RQI ARNOLDI: Arnoldi KRYLOVSCHUR: Krylov-Schur JACOBI_DAVIDSON: Jacobi-Davidson NONLINEAR_POWER: Nonlinear Power MF_NONLINEAR_POWER: Matrix-free Nonlinear Power MONOLITH_NEWTON: Newton MF_MONOLITH_NEWTON: Matrix-free Newton
C++ Type:MooseEnum
Description:POWER: Power / Inverse / RQI ARNOLDI: Arnoldi KRYLOVSCHUR: Krylov-Schur JACOBI_DAVIDSON: Jacobi-Davidson NONLINEAR_POWER: Nonlinear Power MF_NONLINEAR_POWER: Matrix-free Nonlinear Power MONOLITH_NEWTON: Newton MF_MONOLITH_NEWTON: Matrix-free Newton
- 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.
- time0System time
Default:0
C++ Type:double
Description:System time
- update_xfem_at_timestep_beginFalseShould XFEM update the mesh at the beginning of the timestep
Default:False
C++ Type:bool
Description:Should XFEM update the mesh at the beginning of the timestep
- verboseFalseSet to true to print additional information
Default:False
C++ Type:bool
Description:Set to true to print additional information
- which_eigen_pairsWhich eigenvalue pairs to obtain from the solution LARGEST_MAGNITUDE SMALLEST_MAGNITUDE LARGEST_REAL SMALLEST_REAL LARGEST_IMAGINARY SMALLEST_IMAGINARY TARGET_MAGNITUDE TARGET_REAL TARGET_IMAGINARY ALL_EIGENVALUES SLEPC_DEFAULT
C++ Type:MooseEnum
Description:Which eigenvalue pairs to obtain from the solution LARGEST_MAGNITUDE SMALLEST_MAGNITUDE LARGEST_REAL SMALLEST_REAL LARGEST_IMAGINARY SMALLEST_IMAGINARY TARGET_MAGNITUDE TARGET_REAL TARGET_IMAGINARY ALL_EIGENVALUES SLEPC_DEFAULT
Eigenvalue
Eigenvalue solves a standard/generalized eigenvaue problem
Input Parameters
- accept_on_max_picard_iterationFalseTrue to treat reaching the maximum number of Picard iterations as converged.
Default:False
C++ Type:bool
Description:True to treat reaching the maximum number of Picard iterations as converged.
- disable_picard_residual_norm_checkFalseDisable the Picard residual norm evaluation thus the three parameters picard_rel_tol, picard_abs_tol and picard_force_norms.
Default:False
C++ Type:bool
Description:Disable the Picard residual norm evaluation thus the three parameters picard_rel_tol, picard_abs_tol and picard_force_norms.
- picard_abs_tol1e-50The absolute nonlinear residual to shoot for during Picard iterations. This check is performed based on the Master app's nonlinear residual.
Default:1e-50
C++ Type:double
Description:The absolute nonlinear residual to shoot for during Picard iterations. This check is performed based on the Master app's nonlinear residual.
- picard_force_normsFalseForce the evaluation of both the TIMESTEP_BEGIN and TIMESTEP_END norms regardless of the existance of active MultiApps with those execute_on flags, default: false.
Default:False
C++ Type:bool
Description:Force the evaluation of both the TIMESTEP_BEGIN and TIMESTEP_END norms regardless of the existance of active MultiApps with those execute_on flags, default: false.
- picard_max_its1Specifies the maximum number of Picard iterations. Mainly used when wanting to do Picard iterations with MultiApps that are set to execute_on timestep_end or timestep_begin. Setting this parameter to 1 turns off the Picard iterations.
Default:1
C++ Type:unsigned int
Description:Specifies the maximum number of Picard iterations. Mainly used when wanting to do Picard iterations with MultiApps that are set to execute_on timestep_end or timestep_begin. Setting this parameter to 1 turns off the Picard iterations.
- picard_rel_tol1e-08The relative nonlinear residual drop to shoot for during Picard iterations. This check is performed based on the Master app's nonlinear residual.
Default:1e-08
C++ Type:double
Description:The relative nonlinear residual drop to shoot for during Picard iterations. This check is performed based on the Master app's nonlinear residual.
- relaxation_factor1Fraction of newly computed value to keep.Set between 0 and 2.
Default:1
C++ Type:double
Description:Fraction of newly computed value to keep.Set between 0 and 2.
- relaxed_variablesList of variables to relax during Picard Iteration
C++ Type:std::vector
Description:List of variables to relax during Picard Iteration
Picard Parameters
- automatic_scalingFalseWhether to use automatic scaling for the variables.
Default:False
C++ Type:bool
Description:Whether to use automatic scaling for the variables.
- compute_initial_residual_before_preset_bcsFalseUse the residual norm computed *before* preset BCs are imposed in relative convergence check
Default:False
C++ Type:bool
Description:Use the residual norm computed *before* preset BCs are imposed in relative convergence check
- compute_scaling_onceTrueWhether the scaling factors should only be computed once at the beginning of the simulation through an extra Jacobian evaluation. If this is set to false, then the scaling factors will be computed during an extra Jacobian evaluation at the beginning of every time step.
Default:True
C++ Type:bool
Description:Whether the scaling factors should only be computed once at the beginning of the simulation through an extra Jacobian evaluation. If this is set to false, then the scaling factors will be computed during an extra Jacobian evaluation at the beginning of every time step.
- l_max_its10000Max Linear Iterations
Default:10000
C++ Type:unsigned int
Description:Max Linear Iterations
- l_tol0.01Linear Tolerance
Default:0.01
C++ Type:double
Description:Linear Tolerance
- nl_abs_step_tol1e-50Nonlinear Absolute step Tolerance
Default:1e-50
C++ Type:double
Description:Nonlinear Absolute step Tolerance
- nl_abs_tol1e-50Nonlinear Absolute Tolerance
Default:1e-50
C++ Type:double
Description:Nonlinear Absolute Tolerance
- nl_max_funcs10000Max Nonlinear solver function evaluations
Default:10000
C++ Type:unsigned int
Description:Max Nonlinear solver function evaluations
- nl_max_its50Max Nonlinear Iterations
Default:50
C++ Type:unsigned int
Description:Max Nonlinear Iterations
- nl_rel_step_tol1e-50Nonlinear Relative step Tolerance
Default:1e-50
C++ Type:double
Description:Nonlinear Relative step Tolerance
- nl_rel_tol1e-08Nonlinear Relative Tolerance
Default:1e-08
C++ Type:double
Description:Nonlinear Relative Tolerance
- num_grids1The number of grids to use for a grid sequencing algorithm. This includes the final grid, so num_grids = 1 indicates just one solve in a time-step
Default:1
C++ Type:unsigned int
Description:The number of grids to use for a grid sequencing algorithm. This includes the final grid, so num_grids = 1 indicates just one solve in a time-step
- snesmf_reuse_baseTrueSpecifies whether or not to reuse the base vector for matrix-free calculation
Default:True
C++ Type:bool
Description:Specifies whether or not to reuse the base vector for matrix-free calculation
Solver Parameters
- 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.
Advanced Parameters
Restart Parameters
Input Files
- test/tests/problems/eigen_problem/scalar.i
- test/tests/problems/eigen_problem/ne_coupled_picard.i
- test/tests/problems/eigen_problem/ne_coupled_scaled.i
- test/tests/problems/eigen_problem/gipm_ibc.i
- test/tests/problems/eigen_problem/gipm.i
- test/tests/problems/eigen_problem/ane.i
- test/tests/problems/eigen_problem/dg_krylovschur.i
- test/tests/problems/eigen_problem/ipm.i
- test/tests/problems/eigen_problem/ne.i
- test/tests/problems/eigen_problem/ne_deficient_b.i
- test/tests/problems/eigen_problem/ne_coupled_picard_subT_sub.i
- test/tests/problems/eigen_problem/ne_coupled.i