Class List

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

[detail level 1234]

►NAbstractModel	Abstract OOP model implementation interface
CDetailedData
CModel	MODEL Abstract model class
CModelData
CRBSimData
CReducedData
CSimData
►NARE	Implementation of the parametric algebraic Riccati equation
►NGammaCalculation
CGammaCalculatorInterface	BASE Basis class for the preparation and calculation of gamma Any subclass should also overwrite the
CKernel
CLyapunov	LYAPUNOV This is the default implementation for the calculation of the gamma value
CDefaultModel	DEFAULTMODEL
CDetailedData	Implementation of the detailed data interface for the ARE
CModel	MODEL Class that defines the assemble method which is used by both, the DetailedModel and the ReducedModel
CModelData	Model data implementation for the ARE
CRBSimData
CReducedData
CSimData	Simulation data for a solution to the ARE
CSimDataRec
►NDARE	Implementation of the parametric discrete-time algebraic Riccati equation
►NGammaCalculation
CKernel
CLyapunov	LYAPUNOV Calculate the value of the inverse operator by solving the Lyapunov equation
CPowerIteration	POWERITERATION Calculate the (approximate) value of gamma by applying a power iteration to the matrix H, where H is never formed explicitly but only vector products are calculated H*x
CDefaultModel	DEFAULTMODEL
CDetailedData
CModel	MODEL Main class for the DARE model
CModelData
CRBSimData
CReducedData
CSimData
CSimDataRec
►NDataTree
CCreatorDefault	Default implementation of the DataTree.ICreator interface
CDefaultNode	Default implementation for a DataTree.INode
CDummyLeafNode	Dummy implementation for a DataTree.ILeafNode that stores a single data
CDummyMerger	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
CICreator	Interface for a class used to create a new (sub-)tree from an old one with the DataTree.INode.create_tree() method
CIdMapNode	Data Tree element which can be filtered by ids
CILeafNode	Interface for a leaf node of a data tree
CINode	Interface for a node in a DataTree
CLeafDescription	DataTree.ICreator implementation which does not create a tree, but a cell array of descriptions for all leafs in the tree
CNullCreator	Simple DataTree.ICreator copying the original tree and applying a custom function to its leafs returning nothing
CPpartNode
CScalarCreator	Simple DataTree.ICreator copying the original tree and applying a custom function to its leafs returning a scalar value
CTpartNode	Data Tree element which can be filtered by time instants
►NFem
►NLagrange
CBubbleInfo	Scalar Lagrange FE functions (degree 1) with additional bubble function on triangular grid
CDefaultInfo	Scalar Lagrange FE functions on triangular grid
CBcInfo	Class for boundary condition information. Allows more flexible usage
CCompositeFunctionSpace	Composite function space for composition of FE function spaces on same grid
CDiscFunc	Continous piecewise polynomial function of arbitrary dimension. Can be used for all finite elements (discrete function information class) implementing IFeminfo (e.g. Fem.Lagrange.DefaultInfo)
CIFemInfo	Abstract class for implementing finite elements. Fem info classes implementing this interface are compatible with Fem.DiscFunc
COperatorsDefault	Fem operators can be obtained from stored components
►NFv
►NTwoPhase
CDivergenceSpace
CGlobalSpace
CPressureMean
CSaturationSpace
CVelocitySpace
►NGreedy	Customizable implementation of an abstract greedy algorithm
►NDataTree	DataTree implementation for generated detailed and reduced data
►NDetailed	DataTree specialization for detailed data generated by a Greedy algorithm instance
CDuneRBLeafNode	Tree node implementation for a detailed data structure holding a reduced basis
CEILeafNode	Detailed data node implementation storing a collateral reduced basis space and interpolation DOFs
CIdMapNode	Specialization of detailed data tree node with an id map for its children
CIInjectableNode
CILeafNode	Interface specialization for a leaf element in a DataTree returned by the Greedy basis generation algorithms
CInfoNode	Very simple detailed data tree node with only one child
CINode	Interface class for general data tree nodes storing detailed data returned by Greedy.Interface.gen_detailed_data()
CPODEILeafNode	Tree node implementation for a detailed data structure holding a reduced basis and a collateral reduced basis
CPpartNode
CRBLeafNode	Tree node implementation for a detailed data structure holding a reduced basis
CTpartNode
►NReduced	DataTree specialization for reduced data constructed out of Greedy.DataTree.Detailed instances
CIdMapNode
CSeparableFunctionNode
CSeparableOperatorNode
CTpartNode	TPartReducedData
CInfo	DataTree.INode extension for data nodes that can store information on their generation process
►NLRFG
CAlgorithm	ALGORITHM The main implementation of the LRFG algorithm This algorithm is an implementation of the low-rank factor greedy algorithm as it was presented in the paper by A. Schmidt and B. Haasdonk (2016). It is a generic class which can be applied to all OOP models that implement a certain interface
CBasisInfo
CModelInterface
►NPlugin	Specialization plugins for the greedy algorithm
CDefault	Default implementation of a Greedy.Plugin.Interface interface class
CEI	Plugin for the Greedy.Algorithm class generating a collateral reduced basis space plus interpolation DOFs and a local grid
CEICommon	Interface for Greedy.Plugin.Interface implementations generating an empirical interpolation basis
CEIPOD	Plugin for the Greedy.Algorithm class generating a collateral reduced basis space plus interpolation DOFs and a local grid
CInjectedTpart
CInterface	Interface class for extension algorithms which define the basis extension routines used by the abstract Greedy algorithm class Greedy.Algorithm
CPOD	Extension class implementing the POD-greedy algorithm extension routines
CPODCommon	Interface for Greedy.Plugin.Interface implementations generating an reduced basis space for parametrized partial differential equations
CPODDune	Extension class implementing the POD-greedy algorithm extension routines
CPODEI	Greedy.Plugin.Interface implementation that extends in each basis extension step, the reduced basis space and/or the collateral reduced basis space(s)
CSummedEI	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
►NUser	Interface classes to be implemented by the Greedy.Algorithm user
CFVDetailedModelDefault	Interface specialization of an IDetailedModel ready to use with Greedy algorithms for (time dependent) Finite volume discretizations
CIDetailedData	Interface specialization for detailed data objects used with the Greedy algorithm
CIDetailedModel	This is and IDetailedModel interface specialization for detailed models that shall be suitable for Greedy algorithms
CIReducedDataNode	Interface for leaf nodes of the DataTree in Greedy.User.ReducedData objects
CIReducedModel	Interface specialization for a reduced model that can be used with the Greedy algorithm for basis generation
CReducedData	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
CAlgorithm	Default greedy basis generation class
CCheckpoint	Helper class used to store and restore data tree objects at specified checkpoints
CCombined	Combines two or more instances of a Greedy.Interface class by executing them subsequently
CEiTpart
CInterface	Interface class for all kind of reduced basis generation algorithms
CMetaInterface
CTrainingSetAdaptation	Greedy basis generation extension which adaptively refines the trainings parameter set
►NLinEvol	Reduced basis implementation for linear evolution equations
CDetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
CDetailedModel	Detailed model for a linear evolution problem with a Finite volume discretization
CReducedData	Reduced data implementation for linear evolution problems with finite volume discretizations
CReducedModel	Reduced model for linear evolution problems as given by a LinEvol.DetailedModel
►NLinEvolDune
CDetailedModel	Detailed model for a linear evolution problem with a Finite volume discretization
CReducedData	Reduced data implementation for linear evolution problems with finite volume discretizations
CReducedModel	Reduced model for linear evolution problems as given by a LinEvol.DetailedModel
►NLinStat	Reduced basis implementation for linear stationary PDEs
CDetailedData	So far, this only implements the SimpleDetailedData class
CDetailedModel	Detailed model for a linear stationary problem with a Finite element discretization
CReducedData	Reduced data implementation for linear stationary problems with finite element discretizations
CReducedModel	Reduced model for linear stationary problems as given by a LinStat.DetailedModel
►NLinStatDune
CDetailedModel	Detailed model for a linear stationary problem with a discretization implemented in Dune-RB
CReducedData	Reduced data implementation for linear stationary problems of the form \(L_I u = f\)
CReducedModel	Reduced model for linear stationary problems as given by a LinStatDune.DetailedModel
►NNonlinEvol	Reduced basis implementation for non-linear evolution equations
CDetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
CDetailedModel	IDetailedModel implementation for a non linear evolution problem
CEiRbReducedDataNode	Reduced data implementation for non-linear evolution problems with finite volume discretizations
CEiReducedDataNode	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)
CRbReducedDataNode	Implementation of a Greedy.User.IReducedDataNode storing reduced data depending on reduced basis space information only. (e.g. reduced matrices of operators)
CReducedData	Reduced data implementation for non-linear evolution problems with finite volume discretizations
CReducedModel	Reduced model for non-linear evolution problems as given by a NonlinEvol.DetailedModel
►NParameterSampling	Parameter sampling sets
CInterface	Interface for parameter sampling classes producing discrete parameter sample in the parameter space \({\cal M}\)
CIRefineable	Interface class for parameter sample classes that allow the adaptive refinement of the sampling
CPrescribed
CRandom	Parameter sampling class producing randomly distributed parameter samples in sparameter space \({\cal M}\)
CSingle
CUniform	Parameter sampling class with uniformly distributed parameters in the parameter space
►NPostprocess	Tools for post-processing data, i.e. data extraction and visual enhancements for publication
►NStochasticAssessment	Tools for gathering and storing data from a huge set of randomly generated reduced simulations
CAssessment	Class used to compute reduced several reduced simulations over a huge parameter sample extracting useful information
COutput	Result class for computations executed by an Postprocess.StochasticAssessment.Assessment object
►NSnapshotsGenerator	Cacheable generators of detailed data snapshots
CCached	Interface for the storage and generation of detailed data that can be used to build reduced basis functions
CMergedSpaceOpEvals	This class combines two SnapshotsGenerator.SpaceOpEvals and produces the combination of both operator/function evaluations
CRandom	Creates random Dof vectors (for testing purposes only!)
CSpaceOpEvals	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
CTrajectories	Implementation of a SnapshotsGenerator.Cached for reduced basis generation. The generate() method returns a detailed simulation
►NTest	Test reduced basis implementation
CDetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
CDetailedModel	Test model doing nothing
CReducedData	Test reduced data implementation
CReducedModel	Test model doing nothing
►NThermalBlock
CDetailedModel	Detailed model for the Thermalblock problem
►NTwoPhaseData
CBrooksCorey
CInterface
CMichel
CMichelPrsLin
CMichelSimple
►NTwoPhaseFlow
CDetailedData	Class generating the reduced basis space for the LinEvol problem with a Greedy algorithm
CDetailedLeafNode	Tree node implementation for a detailed data structure holding a reduced basis and a collateral reduced basis
CDetailedModel	IDetailedModel implementation for a two phase flow system
CEiRbReducedDataNode	Reduced data implementation for non-linear evolution problems with finite volume discretizations
CEiReducedDataNode	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)
CRbReducedDataNode	Implementation of a Greedy.User.IReducedDataNode storing reduced data depending on reduced basis space information only. (e.g. reduced matrices of operators)
CReducedData	Reduced data implementation for non-linear evolution problems with finite volume discretizations
CReducedModel	Reduced model for non-linear evolution problems as given by a TwoPhaseFlow.DetailedModel
►NVecMat
CCompositeMatrixDefault	For block-diagonal matrices
CICompositeMatrix	Handle class holding a cell array for a "composite-matrix"
CLUPQ_Handle	Handle for passing l-u-p-q-factors to functions
CBasisGenDescr	Struct with control fields for the reduced basis generation
CCacheableObject	Class which wraps an object pointer to an object that is stored somewhere on the hdd (in a cache)
Ccubegrid	A hierarchical cubegrid of arbitrary dimension
Cdare_advection_diffusion	Implicit Euler discretization of a finite-difference convection-diffusion model
Cfemdiscfunc	Class representing a continous piecewise polynomial function of arbitrary dimension. DOFS correspond to the values of Lagrange-nodes
Cfeminfo	Structure representing the fem-space information shared by all fem-functions. Implemented as handle class, in order to be linked into df-classes
Cgridbase	Base class for all grid classes
CIDetailedData	Interface class for the generation and storage of reduced basis spaces as described in Module (M2)
CIDetailedModel	This is the interface for a detailed model providing methods to compute high dimensional simulation snapshots
CILocalizedOperator	Interface for a localized operator that fulfills the so-called \(H\)-independent DOF dependence
CIModel	This is the common interface for all models, detailed and reduced ones
CIReducedData	Interface class for the generation and storage of offline matrices and vectors as described in Module (M3)
CIReducedModel	This is the interface for a reduced model providing methods to compute low dimensional reduced simulations based on a priori generated reduced basis spaces
CISeparableFunction
CISeparableOperator
Cldgdiscfunc	Ldg shape functions implementation
Cldginfo	Structure for the information of a ldg-function
Cleaf
CLocalizedOperatorDefault
CMatlabDocMaker	MatlabDocMaker: Class for information & tasks concerning the UQ-RB-Test documentation
CModelData	Struct with high dimensional data needed for a high dimensional simulation
CModelDescr	Struct with control fields for the analytical PDE functions, the discretization and the parametrization
Conedgrid	One dimensional grid implementation
CRbfInterpolant	Implements rbf interpolation by thin plate splines or gaussian
Crectgrid	A cartesian rectangular grid in two dimensions with axis parallel elements
CSeparableFunctionDefault
CSimpleDetailedData	Very simple detailed data implementation gathering several detailed snapshots spanning the reduced basis space
CStokesReducedDataWrapper	Wrapper-class for reduced data containing big data
Ctriagrid	A triangular conforming grid in two dimensions
CXPartMap	Geometric tree where every nodes has geometry information attached