Class List

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

[detail level 12345]

►Ndaoopt
COpengmVisitor
►Nmarray	Runtime-flexible multi-dimensional views and arrays
CInitializationSkipping	Flag to indicate initialization skipping
CIterator	STL-compliant random access iterator for View and Marray
CMarray	Runtime-flexible multi-dimensional array
CMatrix	Two-dimensional Marray
CVector	One-dimensional Marray
CView	Array-Interface to an interval of memory
CViewExpression
►Nopengm	The OpenGM namespace
►Ncombilp_base
CCombiLP_base
CCombiLP_base_Parameter
►Ndetail_properties
CAllValuesInAnyOrderFunctionProperties
CAtLeastAllUniqueValuesFunctionProperties
►Nexternal	OpenGM wrappers around third party algorithms
►Nlibdai
►CDecMap
CParameter
►CLoopCorrectedBp
CParameter
►CMeanField	Mean Field : [?]
CParameter
CNone
►CTreeExpectationPropagation	Tree Expectation Propagation : [?]
CParameter
►CTreeReweightedBp	Tree reweighted belief propagation : [?]
CParameter
►Nplanargraph
CEdge
CFace
CNode
CPlanarGraph
►Npmc
CDualEdge
CDualNode
CEdge
CFace
CGraph
CNode
►CAD3Inf	AD3
CParameter
CaddMRFNode
CaddMRFNode< GM, TypeGeneral >
CaddMRFNode< GM, TypeTruncatedLinear >
CaddMRFNode< GM, TypeTruncatedQuadratic >
CaddMRFNode< GM, TypeView< GM > >
CcreateMRFEnergy
CcreateMRFEnergy< GM, TypeGeneral >
CcreateMRFEnergy< GM, TypeTruncatedLinear >
CcreateMRFEnergy< GM, TypeTruncatedQuadratic >
CcreateMRFEnergy< GM, TypeView< GM > >
►CDAOOPT	DAOOPT DAOOPT inference algorithm class
CParameter	Parameter inherits from daoopt ProgramOptions
►CFastPD	FastPD FastPD inference algorithm class
CParameter	Parameter
►CGCOLIB	GCOLIB GCOLIB inference algorithm class
CParameter	Parameter
►CGRANTE	GRANTE GRANTE inference algorithm class
CInsertFunctor
CParameter	Parameter
CMinSTCutIBFS	IBFS solver for the min st-cut framework GraphCut
►CMPLP	MPLP MPLP inference algorithm class
CParameter
►CMRFLIB	MRFLIB MRFLIB inference algorithm class
CParameter	Parameter
►CQPBO	QPBO Algorithm
CParameter	Parameter for opengm::external::QPBO
►CSRMP
CParameter
►CTRWS	Message passing (BPS, TRWS): [?]
CParameter	Parameter
►Nhdf5	Fiel I/O of graphical models using the HDF5 binary data format
CSaveAndLoadFunctions
►Nproposal_gen
►CAlphaBetaSwapGen
CParameter
►CAlphaExpansionGen
CParameter
►CBlurGen
CParameter
►CDynamincGen
CParameter
►CEnergyBlurGen
CParameter
►CNonUniformRandomGen
CParameter
►CRandMcClusterOp
CParameter
►CRandom2Gen
CParameter
►CRandomGen
CParameter
►CRandomizedHierarchicalClustering
CParameter
►CRandomizedWatershed
CParameter
►CRandomLFGen
CParameter
►CUpDownGen
CParameter
CVectorViewEdgeMap
CVectorViewNodeMap
►CWeightRandomization
CParameter
►Nproposals
►CAlphaExpansion
CParameter
CLabelHistory
►Npython
CETLGen
CFTLGen
CGmGen
CNumpyView
CNumpyViewType_from_python_numpyarray
CNumpyViewType_to_python_numpyarray
CPythonFunction
►Ntrws_base
CAdaptiveDiminishingSmoothing
CAdaptivePrecisionOrientedSmoothing
CcompToValue
CDecomposition
CDecompositionStorage
CDynamicProgramming
CEdgeDecomposition
CFactorWrapper
CFixedSmoothing
CFunctionParameters
CGridDecomposition
Cmake0ifless
Cmaximum
CMaxSumSolver
CMaxSumTRWS
CMaxSumTRWS_Parameters
Cminusminus
CMonotoneChainsDecomposition
Cmul2ndPlus
CmulAndExp
Cplus2ndMul
CplusplusConst
►CPreviousFactorTable
CFactorVarID
CPseudo2DArray
CSequenceStorage
CSmoothingBasedInference
CSmoothingBasedInference_Parameter
CSmoothingBasedInference_Parameter_Base
CSmoothingParameters
CSmoothingStrategy
CsrcIterator
CSumProdSolver
CSumProdTRWS
CSumProdTRWS_Parameters
CthresholdMulAndExp
CTrivializationSolver
CTRWSPrototype
CTRWSPrototype_Parameters
CVariableToFactorMapping
CWorstCaseDiminishingSmoothing
CWorstCasePrecisionOrientedSmoothing
►Nvisitors
CEmptyVisitor
CExplicitEmptyVisitor
CExplicitTimingVisitor
CExplicitVerboseVisitor
CExplicitVisitorWrapper
CTimingVisitor
CVerboseVisitor
CVisitorReturnFlag
CVisitorWrapper
CAbsoluteDifferenceFunction	Absolute difference between two labels
CAccumulatedViewFunction
CAd3ModelProxy
CAdder	Addition as a binary operation
►CAddViolatedLinearConstraintsFunctor	Functor used to access the method challenge() of the underlying linear constraint function of a graphical model factor and to add a limited number of violated constraints to the LP/MIP model
CAddViolatedLinearConstraintsFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method challenge()
CAddViolatedLinearConstraintsFunctor_impl< FUNCTION_TYPE, true >
►CAddViolatedLinearConstraintsRelaxedFunctor	Functor used to access the method challengeRelaxed() of the underlying linear constraint function of a graphical model factor and to add a limited number of violated constraints to the LP/MIP model
CAddViolatedLinearConstraintsRelaxedFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method challengeRelaxed()
CAddViolatedLinearConstraintsRelaxedFunctor_impl< FUNCTION_TYPE, true >
CADSal	[class adsal] ADSal - adaptive diminishing smoothing algorithm Based on the paper: B. Savchynskyy, S. Schmidt, J. H. Kappes, C. Schnörr Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing, In UAI, 2012, pp. 746-755
CADSal_Parameter
►CAlphaBetaSwap	Alpha-Beta-Swap Algorithm
CParameter
►CAlphaExpansion	Alpha-Expansion Algorithm
CParameter
►CAlphaExpansionFusion	Alpha-Expansion-Fusion Algorithm uses the code of Alexander Fix to reduce the higer order moves to binary pairwise problems which are solved by QPBO as described in Alexander Fix, Artinan Gruber, Endre Boros, Ramin Zabih: A Graph Cut Algorithm for Higher Order Markov Random Fields, ICCV 2011
CParameter
CAnd	Conjunction as a binary operation
►CAStar	A star search algorithm
CParameter
CBeliefPropagationUpdateRules	Update rules for the MessagePassing framework
CBinaryFunctionProperties
CBinaryFunctionProperties< BinaryProperties::IsPotts, FUNCTION >
CBinaryProperties
►CBruteforce	Brute force inference algorithm
CParameter
CBufferRandomAccessSet
CCanonicalView	Canonical view of an arbitrary GraphicalModel
►CCGC	Experimental Multicut
CParameter
CCgcRedirectingVisitor
CChangeablePriorityQueue	Heap-based changable priority queue with a maximum number of elemements
CCombiLP	CombiLP Savchynskyy, B. and Kappes, J. H. and Swoboda, P. and Schnoerr, C.: "Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation". In NIPS, 2013
CCombiLP_Parameter
CConstantFunction	Constant function
CConvertToExplicit	Convert any graphical model into an explicit graphical model
CDiscreteSpace	Discrete space in which variables can have differently many labels
►Cdisjoint_set
Celem
►CDMC
CParameter
CDualDecompositionBase	A framework for inference algorithms based on Lagrangian decomposition
CDualDecompositionBaseParameter
CDualDecompositionEmptyVisitor	Visitor
►CDualDecompositionSubGradient	Dual-Decomposition-Subgradient Inference based on dual decomposition using sub-gradient descent Reference: Kappes, J. H. and Savchynskyy, B. and Schnoerr, C.: "A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation". In CVPR 2012, 2012
CParameter
CDualDecompositionVisitor	Visitor
►CDynamicProgramming	DynamicProgramming
CParameter
CDynamicSingleSiteFunction	Single site function with dynamic size
CExplicitFunction	Function encoded as a dense multi-dimensional array, marray::Marray
CExplicitStorage	ExplicitStorage (continous storage) of a graphical model function data
CFactor	Abstraction (wrapper class) of factors, independent of the function used to implement the factor
CFactorGraph	Interface that makes an object of type S (the template parameter) look like a (non-editable) factor graph
CFastSequence	Vector that stores values on the stack if size is smaller than MAX_STACK
CFiFoQueue
CFoEFunction	Field of Expert function
CFunctionBase	Fallback implementation of member functions of OpenGM functions
CFunctionIdentification
CFunctionIteratation
CFunctionIteratation< IX, DX, false >
CFunctionIteratation< IX, DX, true >
CFunctionRegistration	FunctionRegistration
CFunctionRegistration< LPottsFunction< T, I, L > >
CFunctionSerialization	FunctionSerialization
CFunctionSerialization< python::PythonFunction< T, I, L > >
CFuseViewFixFunction
CFuseViewFunction
►CFusionBasedInf
CParameter
CFusionMover
CFusionVisitor
►CGibbs	Gibbs sampling
CParameter
CGibbsMarginalVisitor	Visitor for the Gibbs sampler to compute arbitrary marginal probabilities
►CGraphCut	A framework for min st-cut algorithms
CParameter
CGraphicalModel	GraphicalModel
CGraphicalModelManipulator	GraphicalModelManipulator
►CGreedyGremlin	GREEDY GREMLIN
CParameter
►CHlFusionMover
CParameter
►CHQPBO	HQPBO Algorithm
CParameter
►CICM	Iterated Conditional Modes Algorithm J. E. Besag, "On the Statistical Analysis of Dirty Pictures", Journal of the Royal Statistical Society, Series B 48(3):259-302, 1986
CParameter
CIloNumArrayIterator	Iterator to iterate over an array of type IloNumArray
CIndependentFactor	Factor (with corresponding function and variable indices), independent of a GraphicalModel
CIndicatorVariable	Combine a group of variables to a new variable
►CInfAndFlip	Inference and Flip
CParameter
CInference	Inference algorithm interface
CIntegrator	Integration (addition) as a unary accumulation
►CIntersectionBasedInf
CParameter
CLabelCostFunction	A label cost function class penalizing the usage of labels
CLabelOrderFunction	A linear constraint function class ensuring the correct label order for two variables
►CLazyFlipper	A generalization of ICM B. Andres, J. H. Kappes, U. Koethe and Hamprecht F. A., The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search, Technical Report, 2010, http://arxiv.org/abs/1009.4102
CParameter
CLinearConstraint	Define a linear constraint for a set of indicatorVariables
CLinearConstraintFunction	Default implementation of a linear constraint function class
CLinearConstraintFunctionBase	Base class for linear constraint functions
CLinearConstraintFunctionTraits	Traits class for linear constraint functions
CLinearConstraintFunctionTraits< LabelOrderFunction< VALUE_TYPE, INDEX_TYPE, LABEL_TYPE > >
CLinearConstraintFunctionTraits< LinearConstraintFunction< VALUE_TYPE, INDEX_TYPE, LABEL_TYPE > >
CLinearConstraintFunctionTraits< NumLabelsLimitationFunction< VALUE_TYPE, INDEX_TYPE, LABEL_TYPE > >
►CLinearConstraintTraits	Traits class for LinearConstraint to provide template independent enum for ConstraintOperatorType
CLinearConstraintOperator	This struct is used to create an own scope for the LinearConstraintTraits::LinearConstraintOperator::ValueType enum as this is not done in C++ by default
►CLOC	LOC Algorithm K. Jung, P. Kohli and D. Shah, "Local Rules for Global MAP: When Do They Work?", NIPS 2009
CParameter
►CLPCplex	Optimization by Linear Programming (LP) or Integer LP using IBM ILOG CPLEX http://www.ilog.com/products/cplex/
CParameter
CLPCplex2	LP inference with CPLEX
CLPDef
►CLPFunctionTransfer	Provides transformations for some function types when they are used in inference algorithms which use linear programming
CGetIndicatorVariablesFunctor	Functor to call LPFunctionTransfer::getIndicatorVariables() for a factor of the graphical model
CGetLinearConstraintsFunctor	Functor to call LPFunctionTransfer::getLinearConstraints() for a factor of the graphical model
CGetSlackVariablesObjectiveCoefficientsFunctor	Functor to call LPFunctionTransfer::getSlackVariablesObjectiveCoefficients() for a factor of the graphical model
CGetSlackVariablesOrderFunctor	Functor to call LPFunctionTransfer::getSlackVariablesOrder() for a factor of the graphical model
CIsTransferableFunctor	Functor to call LPFunctionTransfer::isTransferable() for a factor of the graphical model
CNumSlackVariablesFunctor	Functor to call LPFunctionTransfer::numSlackVariables() for a graphical model factor
CLPFunctionTransfer_impl	Default implementation for class opengm::LPFunctionTransfer
CLPFunctionTransfer_impl< LabelCostFunction< VALUE_TYPE, INDEX_TYPE, LABEL_TYPE >, VALUE_TYPE, INDEX_TYPE, LABEL_TYPE >
CLPFunctionTransfer_impl< SumConstraintFunction< VALUE_TYPE, INDEX_TYPE, LABEL_TYPE >, VALUE_TYPE, INDEX_TYPE, LABEL_TYPE >
►CLPGurobi	Optimization by Linear Programming (LP) or Integer LP using Guroi http://www.gurobi.com
CParameter
CLPGurobi2	LP inference with Gurobi
►CLPInferenceBase	Base class for Linear Programming based inference
►CAddAllViolatedLinearConstraintsFunctor	Functor used to access the method challenge() of the underlying linear constraint function of a graphical model factor and to add all violated constraints to the LP/MIP model
CAddAllViolatedLinearConstraintsFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method challenge()
CAddAllViolatedLinearConstraintsFunctor_impl< FUNCTION_TYPE, true >
►CAddAllViolatedLinearConstraintsRelaxedFunctor	Functor used to access the method challengeRelaxed() of the underlying linear constraint function of a graphical model factor and to add all violated constraints to the LP/MIP model
CAddAllViolatedLinearConstraintsRelaxedFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method challengeRelaxed()
CAddAllViolatedLinearConstraintsRelaxedFunctor_impl< FUNCTION_TYPE, true >
CConstraintStorage	Storage class for linear constraints representing the local polytope constraints. They are generated and stored for later use if LPInferenceBase::Parameter::LoosePolytope is selected as relaxation method
►CGetIndicatorVariablesOrderBeginFunctor	Functor used to access the method indicatorVariablesOrderBegin() of the underlying linear constraint function of a graphical model factor
CGetIndicatorVariablesOrderBeginFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method indicatorVariablesOrderBegin()
CGetIndicatorVariablesOrderBeginFunctor_impl< FUNCTION_TYPE, true >
►CGetIndicatorVariablesOrderEndFunctor	Functor used to access the method indicatorVariablesOrderEnd() of the underlying linear constraint function of a graphical model factor
CGetIndicatorVariablesOrderEndFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method indicatorVariablesOrderEnd()
CGetIndicatorVariablesOrderEndFunctor_impl< FUNCTION_TYPE, true >
►CGetLinearConstraintsBeginFunctor	Functor used to access the method linearConstraintsBegin() of the underlying linear constraint function of a graphical model factor
CGetLinearConstraintsBeginFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method linearConstraintsBegin()
CGetLinearConstraintsBeginFunctor_impl< FUNCTION_TYPE, true >
►CGetLinearConstraintsEndFunctor	Functor used to access the method linearConstraintsEnd() of the underlying linear constraint function of a graphical model factor
CGetLinearConstraintsEndFunctor_impl	Helper struct to distinguish between linear constraint functions and other function types. This is necessary as only linear constraint functions provide the method linearConstraintsEnd()
CGetLinearConstraintsEndFunctor_impl< FUNCTION_TYPE, true >
CParameter	Parameter class for opengm::LPInferenceBase
CLPInferenceTraits	Traits class for lp inference classes
CLPInferenceTraits< LPCplex2< GM_TYPE, ACC_TYPE > >
CLPInferenceTraits< LPGurobi2< GM_TYPE, ACC_TYPE > >
CLPottsFunction	Potts function for two variables
CLPReparametrisationStorage
CLPReparametrizer
CLPReparametrizer_Parameter
CLPSolverCplex	Wrapper class for the IBM ILOG CPLEX optimizer
►CLpSolverCplex
CConstraintType
CParameter
CLPSolverGurobi	Wrapper class for the Gurobi optimizer
►CLpSolverGurobi
►CParameter
CBarrier
CMIP
CMIPCuts
COthers
CSimplex
CTermination
CTolerances
CLpSolverInterface
►CLPSolverInterface	Interface definition for wrapper of LP Solvers like CPLEX and Gurobi
CParameter	Parameter class provides options to modify LP Solver behavior
►CLSA_TR
CParameter
CLSA_TR_HELPER
CLSA_TR_WeightedEdge	Local Submodular Approximation with Trust Region regularization
CMaxDistance	MaxDistance
CMaximizer	Maximization as a unary accumulation
►CMcClusterOp
CParameter
►CMessagePassing	A framework for message passing algorithms Cf. F. R. Kschischang, B. J. Frey and H.-A. Loeliger, "Factor Graphs and the Sum-Product Algorithm", IEEE Transactions on Information Theory 47:498-519, 2001
CParameter
CMinimizer	Minimization as a unary accumulation
CMinSTCutBoost	Boost solvers for the min st-cut framework GraphCut
CmodelTrees
CModelViewFunction	Function that refers to a factor of another GraphicalModel
CMovemaker	A fremework for move making algorithms
►CMQPBO	[class mqpbo] Multilabel QPBO (MQPBO) Implements the algorithms described in i) Ivan Kovtun: Partial Optimal Labeling Search for a NP-Hard Subclass of (max, +) Problems. DAGM-Symposium 2003 (part. opt. for potts) ii) P. Kohli, A. Shekhovtsov, C. Rother, V. Kolmogorov, and P. Torr: On partial optimality in multi-label MRFs, ICML 2008 (MQPBO) iii) P. Swoboda, B. Savchynskyy, J.H. Kappes, and C. Schnörr : Partial Optimality via Iterative Pruning for the Potts Model, SSVM 2013 (MQPBO with permutation sampling)
CParameter
►CMulticut
CParameter
Crebind
CMultiplier	Multiplication as a binary operation
CNativeModelProxy
CNesterov_Parameter
CNesterovAcceleratedGradient
CNormalization	Normalization w.r.t. a binary operation (e.g. Multiplier) and a unary accumulation (e.g. Integrator)
CNumLabelsLimitationFunction	A linear constraint function class for limiting the number of used labels
COr	Disjunction as a binary operation
CParameters
CParamHeper	Multicut Algorithm [1] J. Kappes, M. Speth, B. Andres, G. Reinelt and C. Schnoerr, "Globally Optimal Image Partitioning by Multicuts", EMMCVPR 2011 [2] J. Kappes, M. Speth, G. Reinelt and C. Schnoerr, "Higher-order Segmentation via Multicuts", Technical Report (http://ipa.iwr.uni-heidelberg.de/ipabib/Papers/kappes-2013-multicut.pdf)
CPartition	Disjoint set data structure with path compression
►CPartitionMove	Partition Move Currently Partition Move only implements the Kernighan-Lin-Algorithm
CParameter
CPartitions	Enumaration of partitions of a set of N nodes
►CPermutableLabelFusionMove
CParameter
CPottsFunction	Potts function for two variables
CPottsGFunction	Generalized Potts Function
CPottsNFunction	Potts function in N variables
CPrimalLPBound	[class primallpbound] PrimalLPBound - estimating primal local polytope bound and feasible primal solution for the local polytope relaxation of the MRF energy minimization problem Based on the paper: B. Savchynskyy, S. Schmidt Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study. arXiv:1210.4081 Submitted Oct. 2012
CPrimalLPBound_Parameter
►CQPBO	QPBO Algorithm C. Rother, V. Kolmogorov, V. Lempitsky, and M. Szummer, "Optimizing binary MRFs via extended roof duality", CVPR 2007
CParameter
CQpboModelProxy
CRandomAccessSet	Set with O(n) insert and O(1) access
►CReducedInference	[class reducedinference] Reduced Inference Implementation of the reduction techniques proposed in J.H. Kappes, M. Speth, G. Reinelt, and C. Schnörr: Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization, CVPR 2013
CParameter
CReducedInferenceHelper
CReparametrizationView
CRuntimeError	OpenGM runtime error
►CSAT	2-SAT solver
CParameter
CScaledViewFunction	Function that scales a factor of another graphical model
►CSelfFusion
CParameter
CSimpleDiscreteSpace	Discrete space in which all variables have the same number of labels
CSpaceBase	Interface of label spaces
CSparseFunction
CSquaredDifferenceFunction	Squared difference of the labels of two variables
CStaticSimpleDiscreteSpace	Discrete space in which all variables have the same number of labels
CStaticSingleSiteFunction	Single site function whose size is fixed at compile time
►CSubmodelOptimizer
CInfResult
CSubmodelInfo
CSubsequenceIterator	Defines the const iterator type to iterate over the subset of a sequence
CSumConstraintFunction	A sum constraint function class penalizing the violation of a given linear equality constraint
►CSwendsenWang	Generalized Swendsen-Wang sampling A. Barbu, S. Zhu, "Generalizing swendsen-wang to sampling arbitrary posterior probabilities", PAMI 27:1239-1253, 2005
CParameter
CSwendsenWangEmptyVisitor	Visitor
CSwendsenWangMarginalVisitor	Visitor
CSwendsenWangVerboseVisitor	Visitor
CTimer	Platform-independent runtime measurements
CTiming	Platform-independent runtime measurements of functors
CTrbpUpdateRules	Update rules for the MessagePassing framework
CTribool	Variable with three values (true=1, false=0, maybe=-1)
CTruncatedAbsoluteDifferenceFunction	Truncated absolute differents between the labels of 2 variables
CTruncatedSquaredDifferenceFunction	Truncated squared difference of the labels of two variables
CTRWS_Reparametrizer
CTRWS_Reparametrizer_Parameters
CTRWSi	[class trwsi] TRWSi - tree-reweighted sequential message passing Based on the paper: V. Kolmogorov Convergent tree-reweighted message passing for energy minimization. IEEE Trans. on PAMI, 28(10):1568–1583, 2006
CTRWSi_Parameter
CValueFunctionProperties
CValueFunctionProperties< ValueProperties::Maximum, FUNCTION >
CValueFunctionProperties< ValueProperties::Minimum, FUNCTION >
CValueFunctionProperties< ValueProperties::Product, FUNCTION >
CValueFunctionProperties< ValueProperties::Sum, FUNCTION >
CValueProperties
CVectorView
CViewConvertFunction	ViewConvertFunction convert semi-ring in a lazy fashion
CViewFixVariablesFunction	Funcion that refers to a factor of another GraphicalModel in which some variables are fixed
CViewFunction	Reference to a Factor of a GraphicalModel
CViFunctor
►Nsys
CMemoryInfo
►NTransportSolver
CcoordLess
CcoordMore
►CList2D
CbufferElement
Citerator_template
ClistElement
CMatrixWrapper
CTransportationSolver
CCgcStateVisitor
CIntegralUnorderedMaxSizeSet
CLibDaiInference
CMaybeSetValue
CMRFEnergy
CParent
CSolverParameterType
CSTORAGE
CSubmodelCGC
►CTypeView
CEdgeData
CGlobalSize
CLocalSize
CNodeData