Here is a list of all documented class members with links to the class documentation for each member:
- p -
- p
: ARE.Model
- P
: ARE.SimData
- pdeg
: Fem.CompositeFunctionSpace
, Fem.DiscFunc
, Fem.IFemInfo
, femdiscfunc
, feminfo
, ldgdiscfunc
, ldginfo
- pgrid
: ParameterSampling.Uniform
- phi()
: TwoPhaseData.Interface
- phi_derivative()
: TwoPhaseData.Interface
- pi_max_iterations
: DARE.GammaCalculation.PowerIteration
- pi_tolerance
: DARE.GammaCalculation.PowerIteration
- plot()
: cubegrid
, Fem.DiscFunc
, femdiscfunc
, ldgdiscfunc
, rectgrid
, triagrid
- plot_dofmap()
: femdiscfunc
- plot_element_data()
: gridbase
- plot_element_data_sequence()
: gridbase
- plot_field_descr
: Postprocess.StochasticAssessment.Assessment
- plot_fields
: Postprocess.StochasticAssessment.Assessment
- plot_grid()
: cubegrid
- plot_landscape()
: Postprocess.StochasticAssessment.Output
- plot_leafelement_data()
: cubegrid
- plot_leafvertex_data()
: cubegrid
- plot_polygon_grid()
: gridbase
- plot_sim_data()
: IDetailedModel
, IReducedModel
, LinEvol.DetailedModel
, LinStat.DetailedModel
, NonlinEvol.DetailedModel
, Test.DetailedModel
, ThermalBlock.DetailedModel
, TwoPhaseFlow.DetailedModel
- plot_vertex_data()
: gridbase
- plus()
: Fem.DiscFunc
, femdiscfunc
, SnapshotsGenerator.MergedSpaceOpEvals
, SnapshotsGenerator.SpaceOpEvals
, VecMat.ICompositeMatrix
- PN
: ARE.RBSimData
- POD()
: Greedy.Plugin.POD
- PODCommon()
: Greedy.Plugin.PODCommon
- PODDune()
: Greedy.Plugin.PODDune
- PODEI()
: Greedy.Plugin.PODEI
- PODEILeafNode()
: Greedy.DataTree.Detailed.PODEILeafNode
- pre_check_for_end()
: Greedy.Plugin.EI
, Greedy.Plugin.Interface
, Greedy.Plugin.POD
, Greedy.Plugin.PODDune
, Greedy.Plugin.PODEI
, Greedy.Plugin.SummedEI
- prepare()
: Greedy.Algorithm
, Greedy.Combined
, Greedy.Interface
, Greedy.MetaInterface
, SnapshotsGenerator.Cached
- prepare_reduced_data()
: Greedy.Plugin.EI
, Greedy.Plugin.Interface
, Greedy.Plugin.POD
, Greedy.Plugin.PODDune
, Greedy.Plugin.PODEI
, Greedy.Plugin.SummedEI
- print_3d_curve()
: Postprocess.StochasticAssessment.Output
- print_landscape()
: Postprocess.StochasticAssessment.Output
- print_table()
: Postprocess.StochasticAssessment.Output
- problem_type()
: AbstractModel.Model
- propagate_stop_flag()
: Greedy.DataTree.Info