Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

DataTree
CreatorDefault	Default implementation of the DataTree.ICreator interface
DefaultNode	Default implementation for a DataTree.INode
DummyLeafNode	Dummy implementation for a DataTree.ILeafNode that stores a single data
DummyMerger	Test implementation of an DataTree.ICreator that actually merges two trees together and creates new leaf elements out of the leafs of the two base trees
ICreator	Interface for a class used to create a new (sub-)tree from an old one with the DataTree.INode.create_tree() method
IdMapNode	Data Tree element which can be filtered by ids
ILeafNode	Interface for a leaf node of a data tree
INode	Interface for a node in a DataTree
LeafDescription	DataTree.ICreator implementation which does not create a tree, but a cell array of descriptions for all leafs in the tree
NullCreator	Simple DataTree.ICreator copying the original tree and applying a custom function to its leafs returning nothing
PpartNode
ScalarCreator	Simple DataTree.ICreator copying the original tree and applying a custom function to its leafs returning a scalar value
TpartNode	Data Tree element which can be filtered by time instants
Fv
TwoPhase
DivergenceSpace
PressureMean
SaturationSpace
VelocitySpace
Greedy	Customizable implementation of an abstract greedy algorithm
DataTree	DataTree implementation for generated detailed and reduced data
Detailed	DataTree specialization for detailed data generated by a Greedy algorithm instance
DuneRBLeafNode	Tree node implementation for a detailed data structure holding a reduced basis
EILeafNode	Detailed data node implementation storing a collateral reduced basis space and interpolation DOFs
IdMapNode	Specialization of detailed data tree node with an id map for its children
IInjectableNode
ILeafNode	Interface specialization for a leaf element in a DataTree returned by the Greedy basis generation algorithms
InfoNode	Very simple detailed data tree node with only one child
INode	Interface class for general data tree nodes storing detailed data returned by Greedy.Interface.gen_detailed_data()
PODEILeafNode	Tree node implementation for a detailed data structure holding a reduced basis and a collateral reduced basis
PpartNode
RBLeafNode	Tree node implementation for a detailed data structure holding a reduced basis
TpartNode
Reduced	DataTree specialization for reduced data constructed out of Greedy.DataTree.Detailed instances
IdMapNode
SeparableFunctionNode
SeparableOperatorNode
TpartNode	TPartReducedData
Info	DataTree.INode extension for data nodes that can store information on their generation process
Info	Information objects generated throught Greedy execution
Plugin	Specialization plugins for the greedy algorithm
Default	Default implementation of a Greedy.Plugin.Interface interface class
EI	Plugin for the Greedy.Algorithm class generating a collateral reduced basis space plus interpolation DOFs and a local grid
EICommon	Interface for Greedy.Plugin.Interface implementations generating an empirical interpolation basis
EIPOD	Plugin for the Greedy.Algorithm class generating a collateral reduced basis space plus interpolation DOFs and a local grid
InjectedTpart
Interface	Interface class for extension algorithms which define the basis extension routines used by the abstract Greedy algorithm class Greedy.Algorithm
POD	Extension class implementing the POD-greedy algorithm extension routines
PODCommon	Interface for Greedy.Plugin.Interface implementations generating an reduced basis space for parametrized partial differential equations
PODDune	Extension class implementing the POD-greedy algorithm extension routines
PODEI	Greedy.Plugin.Interface implementation that extends in each basis extension step, the reduced basis space and/or the collateral reduced basis space(s)
SummedEI	Plugin for the Greedy.Algorithm class generating collateral reduced basis space plus interpolation DOFs and a local grid for several different parameterized functions or operators
User	Interface classes to be implemented by the Greedy.Algorithm user
FVDetailedModelDefault	Interface specialization of an IDetailedModel ready to use with Greedy algorithms for (time dependent) Finite volume discretizations
IDetailedData	Interface specialization for detailed data objects used with the Greedy algorithm
IDetailedModel	This is and IDetailedModel interface specialization for detailed models that shall be suitable for Greedy algorithms
IReducedDataNode	Interface for leaf nodes of the DataTree in Greedy.User.ReducedData objects
IReducedModel	Interface specialization for a reduced model that can be used with the Greedy algorithm for basis generation
ReducedData	Default reduced data implementation which stores a data tree object copying the structure of a Greedy.User.IDetailedData.datatree as returned by the greedy algorithm objects
Algorithm	Default greedy basis generation class
Checkpoint	Helper class used to store and restore data tree objects at specified checkpoints
Combined	Combines two or more instances of a Greedy.Interface class by executing them subsequently
EiTpart
Interface	Interface class for all kind of reduced basis generation algorithms
MetaInterface
TrainingSetAdaptation	Greedy basis generation extension which adaptively refines the trainings parameter set
LinEvol	Reduced basis implementation for linear evolution equations
DetailedModel	Detailed model for a linear evolution problem with a Finite volume discretization
ReducedData	Reduced data implementation for linear evolution problems with finite volume discretizations
ReducedModel	Reduced model for linear evolution problems as given by a LinEvol.DetailedModel
DetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
LinEvolDune
DetailedModel	Detailed model for a linear evolution problem with a Finite volume discretization
ReducedData	Reduced data implementation for linear evolution problems with finite volume discretizations
ReducedModel	Reduced model for linear evolution problems as given by a LinEvol.DetailedModel
LinStat	Reduced basis implementation for linear stationary PDEs
DetailedModel	Detailed model for a linear stationary problem with a Finite element discretization
ReducedModel	Reduced model for linear stationary problems as given by a LinStat.DetailedModel
DetailedData	So far, this only implements the SimpleDetailedData class
ReducedData	Reduced data implementation for linear stationary problems with finite element discretizations
LinStatDune
DetailedModel	Detailed model for a linear stationary problem with a discretization implemented in Dune-RB
ReducedData	Reduced data implementation for linear stationary problems of the form \(L_I u = f\)
ReducedModel	Reduced model for linear stationary problems as given by a LinStatDune.DetailedModel
NonlinEvol	Reduced basis implementation for non-linear evolution equations
DetailedModel	IDetailedModel implementation for a non linear evolution problem
ReducedData	Reduced data implementation for non-linear evolution problems with finite volume discretizations
ReducedModel	Reduced model for non-linear evolution problems as given by a NonlinEvol.DetailedModel
DetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
EiRbReducedDataNode	Reduced data implementation for non-linear evolution problems with finite volume discretizations
EiReducedDataNode	Implementation of a Greedy.User.IReducedDataNode storing reduced data depending on collateral reduced basis space information only (e.g. interpolation DOFs and a local grid)
RbReducedDataNode	Implementation of a Greedy.User.IReducedDataNode storing reduced data depending on reduced basis space information only. (e.g. reduced matrices of operators)
ParameterSampling	Parameter sampling sets
Interface	Interface for parameter sampling classes producing discrete parameter sample in the parameter space \({\cal M}\)
IRefineable	Interface class for parameter sample classes that allow the adaptive refinement of the sampling
Random	Parameter sampling class producing randomly distributed parameter samples in sparameter space \({\cal M}\)
Single
Uniform	Parameter sampling class with uniformly distributed parameters in the parameter space
Postprocess	Tools for post-processing data, i.e. data extraction and visual enhancements for publication
StochasticAssessment	Tools for gathering and storing data from a huge set of randomly generated reduced simulations
Assessment	Class used to compute reduced several reduced simulations over a huge parameter sample extracting useful information
Output	Result class for computations executed by an Postprocess.StochasticAssessment.Assessment object
SnapshotsGenerator	Cacheable generators of detailed data snapshots
Cached	Interface for the storage and generation of detailed data that can be used to build reduced basis functions
MergedSpaceOpEvals	This class combines two SnapshotsGenerator.SpaceOpEvals and produces the combination of both operator/function evaluations
Random	Creates random Dof vectors (for testing purposes only!)
SpaceOpEvals	Implementation of a SnapshotsGenerator.Cached for empirical basis generation. The generate() method returns the evaluations of an operator or a function on the solution (trajectory) of a detailed simulation
Trajectories	Implementation of a SnapshotsGenerator.Cached for reduced basis generation. The generate() method returns a detailed simulation
Test	Test reduced basis implementation
DetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
DetailedModel	Test model doing nothing
ReducedData	Test reduced data implementation
ReducedModel	Test model doing nothing
ThermalBlock
DetailedModel	Detailed model for the Thermalblock problem
TwoPhaseData
BrooksCorey
Interface
Michel
MichelPrsLin
MichelSimple
TwoPhaseFlow
DetailedModel	IDetailedModel implementation for a two phase flow system
ReducedData	Reduced data implementation for non-linear evolution problems with finite volume discretizations
ReducedModel	Reduced model for non-linear evolution problems as given by a TwoPhaseFlow.DetailedModel
DetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
DetailedLeafNode	Tree node implementation for a detailed data structure holding a reduced basis and a collateral reduced basis
EiRbReducedDataNode	Reduced data implementation for non-linear evolution problems with finite volume discretizations
EiReducedDataNode	Implementation of a Greedy.User.IReducedDataNode storing reduced data depending on collateral reduced basis space information only (e.g. interpolation DOFs and a local grid)
RbReducedDataNode	Implementation of a Greedy.User.IReducedDataNode storing reduced data depending on reduced basis space information only. (e.g. reduced matrices of operators)
BasisGenDescr	Struct with control fields for the reduced basis generation
CacheableObject	Class which wraps an object pointer to an object that is stored somewhere on the hdd (in a cache)
cubegrid	A hierarchical cubegrid of arbitrary dimension
femdiscfunc	Class femdiscfunc class representing a continous piecewise polynomial function of arbitrary dimension. DOFS correspond to the values of Lagrange-nodes
feminfo	Structure representing the fem-space information shared by all fem-functions. Implemneted as handle class, in order to be linked into df-classes
gridbase	Base class for all grid classes
IDetailedData	Interface class for the generation and storage of reduced basis spaces as described in Module (M2)
IDetailedModel	This is the interface for a detailed model providing methods to compute high dimensional simulation snapshots
ILocalizedOperator	Interface for a localized operator that fulfills the so-called \(H\)-independent DOF dependence
IModel	This is the common interface for all models, detailed and reduced ones
IReducedData	Interface class for the generation and storage of offline matrices and vectors as described in Module (M3)
IReducedModel	This is the interface for a reduced model providing methods to compute low dimensional reduced simulations based on a priori generated reduced basis spaces
ISeparableFunction
ISeparableOperator
ldgdiscfunc	Ldg shape functions implementation
ldginfo	Structure for the information of a ldg-function
leaf
LocalizedOperatorDefault
MatlabDocMaker	MatlabDocMaker: Class for information & tasks concerning the UQ-RB-Test documentation
ModelData	Struct with high dimensional data needed for a high dimensional simulation
ModelDescr	Struct with control fields for the analytical PDE functions, the discretization and the parametrization
onedgrid	One dimensional grid implementation
rectgrid	A cartesian rectangular grid in two dimensions with axis parallel elements
SeparableFunctionDefault
SimpleDetailedData	Very simple detailed data implementation gathering several detailed snapshots spanning the reduced basis space
triagrid	A triangular conforming grid in two dimensions
XPartMap	Geometric tree where every nodes has geometry information attached