Indicators System
The Indicator system is a sub-system of the Adaptivity System. The Indicator objects serve to provide a measurement of "error" that are used to inform the Markers System. When creating a custom Indicator object the child object must override the computeIndicator method.
Although created for the adaptivity system, indicators can be used stand-alone for computing error values, since the values computed are simply auxiliary variables, see AuxVariables System.
Available Objects
- Moose App
- AnalyticalIndicatorCompute the square of the error as the difference between an unknown variable and an analytical solution.
- ArrayMooseVariableUsed for grouping standard field variables with the same finite element family and order
- GradientJumpIndicatorCompute the jump of the solution gradient across element boundaries.
- LaplacianJumpIndicatorCompute the jump of the solution laplacian across element bondaries.
- MooseLinearVariableFVRealBase class for Moose variables. This should never be the terminal object type
- MooseVariableRepresents standard field variables, e.g. Lagrange, Hermite, or non-constant Monomials
- MooseVariableBaseBase class for Moose variables. This should never be the terminal object type
- MooseVariableConstMonomialSpecialization for constant monomials that avoids unnecessary loops
- MooseVariableFVRealBase class for Moose variables. This should never be the terminal object type
- MooseVariableScalarMoose wrapper class around scalar variables
- ValueJumpIndicatorCompute the jump of the solution across element bondaries.
- VectorMooseVariableRepresents vector field variables, e.g. Vector Lagrange, Nedelec or Raviart-Thomas
- Zapdos App
- AnalyticalDiffIndicatorReturns the difference between the function of the analytic solution vs the computed solution
Available Actions
- Moose App
- AddElementalFieldActionAdds elemental auxiliary variable for adaptivity system.
- AddIndicatorActionAdd an Indicator object to a simulation.