A B C D E F G H I L M N O P Q R S T U V

A

absorb(GenRule) - Method in class cve.CoveringRuleCollection

absorbs this generalised rule into a collection of generalised rules.

actionpos - Variable in class ve.FactorDeterministic.Itr

add(GenRule) - Method in class cve.ContextualBeliefNetwork

add a new rule to the contextual belief network

add(GenRule) - Method in class cve.RuleCollection

add a new element to the collection.

add(Variable) - Method in class cve.ContextualBeliefNetworkRandom2.VarTable

addFactor(Context, Factor, Variable[], double) - Method in class cve.RuleCollectionFromBeliefNetwork

adds a new factor (with a context) to the rule collection.

addFactor(Factor) - Method in class ve.FactorStore

addFactor(Factor) - Method in class ve.FactorStoreIndexed

adds the factor to the factor store.

addFactor(Factor) - Method in class ve.FactorStoreRandom

addFactor(Factor) - Method in class ve.FactorStoreSequential

addFactorToCollection(Factor) - Method in class cve.RuleCollectionFromEntropySplit

addNeighbours(Variable[]) - Method in class ve.FactorStoreIndexed.VariableToEliminate

addResiduals(Context, RuleCollection) - Method in class cve.GenRule

adds the residuals of this with respect to Context con to result.

addtoBuckets(Factor) - Method in class ve.FactorStoreSequential

adds a factor to the appropriate bucket

addVar() - Method in class cve.ContextualBeliefNetworkRandom2.VarTable

allOnes() - Method in class ve.Factor

Is true if the factor consists entirely of ones.

B

backTo(int) - Method in interface ve.EltsIterator

Goes back to the given position in the iteration.

backTo(int) - Method in class ve.FactorAssign.Itr

backTo(int) - Method in class ve.FactorDeterministic.Itr

backTo(int) - Method in class ve.FactorExpand.Itr

backTo(int) - Method in class ve.FactorNormalise.Itr

backTo(int) - Method in class ve.FactorObserved.Itr

backTo(int) - Method in class ve.FactorPlus.Itr

backTo(int) - Method in class ve.FactorStored.Itr

backTo(int) - Method in class ve.FactorStoredPretend.Itr

backTo(int) - Method in class ve.FactorTimes.Itr

backTo(int) - Method in class ve.FactorUniform.Itr

backTos - Variable in class ve.FactorExpand.Itr

Array that specifies where the values have to go back to.

base - Variable in class cve.FactorUpdatable

gives the number of elements to the right for each variable.

BeliefNetFromCBN - class cve.BeliefNetFromCBN.

A Belief network constructed from a well formed ContextualBeliefNetwork.

BeliefNetFromCBN(ContextualBeliefNetwork) - Constructor for class cve.BeliefNetFromCBN

BeliefNetwork - class ve.BeliefNetwork.

A BeliefNetwork contains a tuple of Variables (each with a domain) and a set of conditional probability tables, here represented as a FactorCPT.

BeliefNetwork(String, int) - Constructor for class ve.BeliefNetwork

constructs a belief network from the extended CIspace representation.

BeliefNetwork(Variable[], int) - Constructor for class ve.BeliefNetwork

constructs a belief network for the corresponding variables

BeliefNetworkFromThreshold - class cve.BeliefNetworkFromThreshold.

A Belief network constructed from a well formed ContextualBeliefNetwork.

BeliefNetworkFromThreshold(DecisionNetwork, double) - Constructor for class cve.BeliefNetworkFromThreshold

buckets - Variable in class ve.FactorStoreSequential

bucketSize - Variable in class ve.FactorStoreSequential

BY_ASSIGN - Static variable in class ve.Factor

BY_CPT - Static variable in class ve.Factor

some constants so it can remember how it was created.

BY_DETERMINISTIC - Static variable in class ve.Factor

BY_EXPANDING - Static variable in class ve.Factor

BY_GENRULE - Static variable in class ve.Factor

BY_MAXIMIZING - Static variable in class ve.Factor

BY_MULTIPLYING - Static variable in class ve.Factor

BY_NORMALIZING - Static variable in class ve.Factor

BY_OBSERVED - Static variable in class ve.Factor

BY_PLUS - Static variable in class ve.Factor

BY_REORDERING - Static variable in class ve.Factor

BY_SAVEIT - Static variable in class ve.Factor

BY_SUM_OUT - Static variable in class ve.Factor

BY_UNIFORM - Static variable in class ve.Factor

BY_UPDATABLE - Static variable in class ve.Factor

BY_V_ELIM - Static variable in class ve.Factor

C

cleanUp(Factor) - Method in class ve.FactorStoreIndexed

combineRemainingRules() - Method in class cve.RuleCollection

compareTo(Object) - Method in class ve.Variable

compares two Variables.

compatible(Context) - Method in class cve.Context

is true if this context is compatible with c1.

computeNeighbours() - Method in class ve.FactorStoreIndexed.VariableToEliminate

computeReturnTos(int, int) - Method in class ve.FactorExpand.Itr

compute the retrunTos array for a backTo.

con - Variable in class cve.ContextualBeliefNetworkRandom.VarCon

con - Variable in class cve.ContextualBeliefNetworkRandom2.VarTable

con - Variable in class cve.ContextualBeliefNetworkRandom3.VarCon

contains(Variable) - Method in class ve.Factor

returns true if the factor contains variable v.

Context - class cve.Context.

A context is a tuple of variables and their values.

Context() - Constructor for class cve.Context

constructs the empty context.

Context(Context, Variable, int) - Constructor for class cve.Context

constructs a new context that is oldcon together with var=val.

Context(Variable[], int[]) - Constructor for class cve.Context

constructs a new context with variables vars and values vals.

Context(Variable[], int[], int) - Constructor for class cve.Context

constructs a new context with variables vars and values vals, given that len is the number of observed variables.

ContextualBeliefNetwork - class cve.ContextualBeliefNetwork.

A ContextualBeliefNetwork contains a tuple of Variables (each with a domain) and a set of generalised rules (of the form GenRule).

ContextualBeliefNetwork() - Constructor for class cve.ContextualBeliefNetwork

dummy constructor.

ContextualBeliefNetwork(DecisionNetwork) - Constructor for class cve.ContextualBeliefNetwork

constructs a contextual belief network from a beleif network.

ContextualBeliefNetwork(DecisionNetwork, double) - Constructor for class cve.ContextualBeliefNetwork

constructs a contextual belief network from a beleif network with the approximation given by threshold.

ContextualBeliefNetworkFromText - class cve.ContextualBeliefNetworkFromText.

The class of ContextualBeliefNetworks constructed from an extended CIspace representation.

ContextualBeliefNetworkFromText(String, int) - Constructor for class cve.ContextualBeliefNetworkFromText

constructs a belief network from the extended CIspace representation.

ContextualBeliefNetworkRandom - class cve.ContextualBeliefNetworkRandom.

ContextualBeliefNetworkRandom.VarCon - class cve.ContextualBeliefNetworkRandom.VarCon.

ContextualBeliefNetworkRandom.VarCon(ContextualBeliefNetworkRandom, Variable, Context) - Constructor for class cve.ContextualBeliefNetworkRandom.VarCon

ContextualBeliefNetworkRandom(int, int, double) - Constructor for class cve.ContextualBeliefNetworkRandom

Constructs a random contexual belied network.

ContextualBeliefNetworkRandom2 - class cve.ContextualBeliefNetworkRandom2.

ContextualBeliefNetworkRandom2.VarTable - class cve.ContextualBeliefNetworkRandom2.VarTable.

ContextualBeliefNetworkRandom2.VarTable(ContextualBeliefNetworkRandom2, Variable, int) - Constructor for class cve.ContextualBeliefNetworkRandom2.VarTable

ContextualBeliefNetworkRandom2.VarTable(ContextualBeliefNetworkRandom2, Variable, Variable[], int, Context) - Constructor for class cve.ContextualBeliefNetworkRandom2.VarTable

ContextualBeliefNetworkRandom2(int, int, double, double) - Constructor for class cve.ContextualBeliefNetworkRandom2

Constructs a random contexual belied network.

ContextualBeliefNetworkRandom3 - class cve.ContextualBeliefNetworkRandom3.

ContextualBeliefNetworkRandom3.VarCon - class cve.ContextualBeliefNetworkRandom3.VarCon.

ContextualBeliefNetworkRandom3.VarCon(ContextualBeliefNetworkRandom3, Variable, Context) - Constructor for class cve.ContextualBeliefNetworkRandom3.VarCon

ContextualBeliefNetworkRandom3(int, int, double) - Constructor for class cve.ContextualBeliefNetworkRandom3

Constructs a random contexual belied network, where we try to minimise the number of variables in splits.

contextVals - Variable in class cve.Context

contextVars - Variable in class cve.Context

countBetween - Variable in class ve.FactorExpand.Itr

Array that specifies the count of the number of values in that are not expanded.

countExpand - Variable in class ve.FactorExpand.Itr

Array that specifies the count of the number of values to be expanded.

CoveringRuleCollection - class cve.CoveringRuleCollection.

A covering rule collection is a collection of generalised rules that are disjoint and covering.

CoveringRuleCollection() - Constructor for class cve.CoveringRuleCollection

curpos - Variable in class ve.FactorDeterministic.Itr

curpos - Variable in class ve.FactorStoreRandom.FacItr

curpos - Variable in class ve.FactorStoreSequential.FacItr

curpos - Variable in class ve.FactorStored.Itr

Index of element to be returned by subsequent call to next.

curpos - Variable in class ve.FactorStoredPretend.Itr

Index of element to be returned by subsequent call to next.

curpos - Variable in class ve.FactorUniform.Itr

Index of element to be returned by subsequent call to next.

curpos - Variable in class cve.RuleCollection.Itr

currBet - Variable in class ve.FactorObserved.Itr

array of the counts for each digit of domainSizeBetween.

currPos() - Method in interface ve.EltsIterator

Returns the current position in the iteration.

currPos() - Method in class ve.FactorAssign.Itr

currPos() - Method in class ve.FactorDeterministic.Itr

currPos() - Method in class ve.FactorExpand.Itr

currPos() - Method in class ve.FactorNormalise.Itr

currPos() - Method in class ve.FactorObserved.Itr

currPos() - Method in class ve.FactorPlus.Itr

currPos() - Method in class ve.FactorStored.Itr

currPos() - Method in class ve.FactorStoredPretend.Itr

currPos() - Method in class ve.FactorTimes.Itr

currPos() - Method in class ve.FactorUniform.Itr

curSize - Variable in class ve.FactorDeterministic

CVEQuery - class cve.CVEQuery.

a factor that is the result of a query.

CVEQuery(Variable[], ContextualBeliefNetwork, Variable[], int[], String[]) - Constructor for class cve.CVEQuery

constructs the factor that answers the specific query for a given elimination ordering.

CVEQuery(Variable[], ContextualBeliefNetwork, Variable[], int[], Variable[]) - Constructor for class cve.CVEQuery

CVEQueryPretend - class cve.CVEQueryPretend.

a factor that is the result of a query.

CVEQueryPretend(Variable[], ContextualBeliefNetwork, Variable[], int[], String[]) - Constructor for class cve.CVEQueryPretend

constructs the factor that answers the specific query for a given elimination ordering.

CVEQueryPretend(Variable[], ContextualBeliefNetwork, Variable[], int[], Variable[]) - Constructor for class cve.CVEQueryPretend

D

DecisionNetwork - class ve.DecisionNetwork.

A DecisionNetwork contains a tuple of Variables (each with a domain) and a set of conditional probability tables, each represented as a FactorCPT.

DecisionNetwork() - Constructor for class ve.DecisionNetwork

DecisionNetwork(Variable[], int) - Constructor for class ve.DecisionNetwork

DecisionNetworkFromBIF - class ve.DecisionNetworkFromBIF.

A DecisionNetwork that is constructed from the Bayesian Interchange Format (BIF).

DecisionNetworkFromBIF(BufferedReader, int) - Constructor for class ve.DecisionNetworkFromBIF

DecisionNetworkFromCIspaceFormat - class ve.DecisionNetworkFromCIspaceFormat.

A DecisionNetwork that is constructed from the CIspace format.

DecisionNetworkFromCIspaceFormat(String, int) - Constructor for class ve.DecisionNetworkFromCIspaceFormat

constructs a decision network from the extended CIspace representation.

DecisionNetworkFromCIspaceFormat(Variable[], int) - Constructor for class ve.DecisionNetworkFromCIspaceFormat

constructs a belief network for the corresponding variables

decisionVar - Variable in class ve.FactorDeterministic

defaultInitialMaxSize - Variable in class cve.RuleCollection

deficiency - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the deficiency.

determineToSumOut(Variable[], int, Variable[], Variable[]) - Method in class ve.Query

determineToSumOut(Variable[], int, Variable[], Variable[]) - Method in class ve.QueryPretend

disjoint(Variable[], Variable[]) - Static method in class cve.RuleCollection

display() - Method in class ve.Factor

displays the resultant factor.

domain - Variable in class ve.Variable

domain is the array of values this variable can take.

domainSize - Variable in class ve.FactorAssign

domainSizeAfter - Variable in class ve.FactorAssign

domainSizeBefore - Variable in class ve.FactorAssign

domainSizeBetween - Variable in class ve.FactorObserved

domainSizeObserved - Variable in class ve.FactorObserved

E

eliminate(Variable) - Method in class cve.RuleCollection

eliminates the variable from the current collection of rules.

eliminatePretend(Variable) - Method in class cve.RuleCollection

pretends to eliminates the variable from the current collection of rules.

EltsIterator - interface ve.EltsIterator.

An iterator over the elements of a factor.

emunFactorsRemaining() - Method in class ve.FactorStore

emunFactorsRemaining() - Method in class ve.FactorStoreIndexed

returns an enumerator over the variables for the last variable returned.

emunFactorsRemaining() - Method in class ve.FactorStoreRandom

Returns an iterator over the the remaining factors.

emunFactorsRemaining() - Method in class ve.FactorStoreSequential

Returns an iterator over the the remaining factors.

emunFactorsRemoved() - Method in class ve.FactorStore

emunFactorsRemoved() - Method in class ve.FactorStoreIndexed

returns an enumerator over the variables for the last variable returned.

emunFactorsRemoved() - Method in class ve.FactorStoreRandom

Returns an iterator over the factors that contain the variable var.

emunFactorsRemoved() - Method in class ve.FactorStoreSequential

Returns an iterator over the factors that contain the variable var.

eo - Variable in class ve.Query

eo - Variable in class ve.QueryPretend

F

fac - Variable in class ve.FactorStoreIndexed.FactorLink

fac1 - Variable in class ve.FactorNormalise

the factor that is to be normalised.

fac1 - Variable in class ve.FactorPlus

the factors that are to be multiplied point by point.

fac1 - Variable in class ve.FactorTimes

the factors that are to be multiplied point by point.

fac2 - Variable in class ve.FactorPlus

the factors that are to be multiplied point by point.

fac2 - Variable in class ve.FactorTimes

the factors that are to be multiplied point by point.

fact - Variable in class ve.FactorAssign

fact - Variable in class ve.FactorExpand

the factor to be expanded.

fact - Variable in class ve.FactorObserved

factItr - Variable in class ve.FactorAssign.Itr

iterator for fact.

factItr - Variable in class ve.FactorExpand.Itr

factItr - Variable in class ve.FactorObserved.Itr

iterator for fact.

Factor - class ve.Factor.

A factor is a table that given a tuple of values returns a value.

Factor(Variable[], int) - Constructor for class ve.Factor

constructs a factor for the variables given.

FactorAssign - class ve.FactorAssign.

This the the class of factors that are the the result of projecting another factor onto some observations.

FactorAssign.Itr - class ve.FactorAssign.Itr.

FactorAssign.Itr(FactorAssign) - Constructor for class ve.FactorAssign.Itr

FactorAssign(Factor, Variable, int) - Constructor for class ve.FactorAssign

constructs a factor with the given assignment.

FactorCPT - class ve.FactorCPT.

Factors that represent conditional probabilty tables.

FactorCPT(Variable[], double[]) - Constructor for class ve.FactorCPT

an extra constructor so it can take in the actual values instead of a string representation of them.

FactorCPT(Variable[], String) - Constructor for class ve.FactorCPT

FactorDeterministic - class ve.FactorDeterministic.

This the the class of factors that are determistic (they have only 0-1 probabilities).

FactorDeterministic.Itr - class ve.FactorDeterministic.Itr.

FactorDeterministic.Itr(FactorDeterministic) - Constructor for class ve.FactorDeterministic.Itr

FactorDeterministic(Variable[], Variable, int[]) - Constructor for class ve.FactorDeterministic

factorEq(Factor, Factor) - Static method in class ve.Tester

factorEq(Factor, Factor) - Static method in class ve.TesterWater

factorEq(Factor, Factor) - Static method in class ve.Testerpr

factorEq(Factor, Factor) - Static method in class cve.TesterFromVE

FactorExpand - class ve.FactorExpand.

This the the class of factors that extend other factors to include more variables.

FactorExpand.Itr - class ve.FactorExpand.Itr.

FactorExpand.Itr(FactorExpand) - Constructor for class ve.FactorExpand.Itr

default constructor.

FactorExpand(Factor, Variable[]) - Constructor for class ve.FactorExpand

constructs a factor with the given variables.

FactorIterator - interface ve.FactorIterator.

An iterator over factors.

FactorMax - class ve.FactorMax.

This the the class of factors that are created by optimizing a decision variable.

FactorMax(Factor, Variable) - Constructor for class ve.FactorMax

constructs a factor with the given variables.

factorMaxSize - Variable in class ve.FactorStoreRandom

factorMaxSize - Variable in class ve.FactorStoreSequential

FactorNormalise - class ve.FactorNormalise.

This the the class of factors that are the normalization of other factors.

FactorNormalise.Itr - class ve.FactorNormalise.Itr.

FactorNormalise.Itr(FactorNormalise) - Constructor for class ve.FactorNormalise.Itr

FactorNormalise(Factor) - Constructor for class ve.FactorNormalise

constructs a factor with the given variables.

FactorObserved - class ve.FactorObserved.

This the the class of factors that are the the result of projecting another factor onto some observations.

FactorObserved.Itr - class ve.FactorObserved.Itr.

FactorObserved.Itr(FactorObserved) - Constructor for class ve.FactorObserved.Itr

FactorObserved(Factor, Variable[], int[]) - Constructor for class ve.FactorObserved

constructs a factor with the given obsevations.

FactorPlus - class ve.FactorPlus.

This the the class of factors that are the sum of other factors.

FactorPlus.Itr - class ve.FactorPlus.Itr.

FactorPlus.Itr(FactorPlus) - Constructor for class ve.FactorPlus.Itr

FactorPlus(Factor, Factor) - Constructor for class ve.FactorPlus

constructs a factor with the given variables.

factorProject(Factor, Variable, int, Variable[], int) - Method in class cve.RuleCollectionFromBeliefNetwork

projects a factor onto the variables that are not redundant.

FactorRandom - class cve.FactorRandom.

This the the class of factors that have random values.

FactorRandom(Variable[]) - Constructor for class cve.FactorRandom

constructs a factor with the given variables.

FactorRandom(Variable[], int) - Constructor for class cve.FactorRandom

FactorReorder - class ve.FactorReorder.

This the the class of factors that are the reordering of other factors.

FactorReorder(Factor, Variable[]) - Constructor for class ve.FactorReorder

constructs a factor with values given by f1 and the order given by newOrder.

factors - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the index of the Factors that involve this variable.

FactorSaveIt - class ve.FactorSaveIt.

This the the class of explcitly constructed factors.

FactorSaveIt(Factor) - Constructor for class ve.FactorSaveIt

FactorSaveIt(f) returns the same values as f, but doesn't recompute it

factorSet(Factor, Context) - Static method in class cve.RuleCollection

set the variables in fac to the context con

FactorStore - class ve.FactorStore.

a place to store factors during computation.

FactorStore() - Constructor for class ve.FactorStore

FactorStored - class ve.FactorStored.

This the the class of stored factors.

FactorStored.Itr - class ve.FactorStored.Itr.

FactorStored.Itr(FactorStored) - Constructor for class ve.FactorStored.Itr

FactorStored(Variable[], int) - Constructor for class ve.FactorStored

constructs a factor with the given variables.

FactorStoredPretend - class ve.FactorStoredPretend.

This the the class of stored factors, but we only pretend to store them.

FactorStoredPretend.Itr - class ve.FactorStoredPretend.Itr.

FactorStoredPretend.Itr(FactorStoredPretend) - Constructor for class ve.FactorStoredPretend.Itr

FactorStoredPretend(Variable[], int) - Constructor for class ve.FactorStoredPretend

constructs a factor with the given variables.

FactorStoreIndexed - class ve.FactorStoreIndexed.

a place to store factors during computation.

FactorStoreIndexed.EnumFacsRem - class ve.FactorStoreIndexed.EnumFacsRem.

FactorStoreIndexed.EnumFacsRem(FactorStoreIndexed) - Constructor for class ve.FactorStoreIndexed.EnumFacsRem

FactorStoreIndexed.EnumFacsRemaining - class ve.FactorStoreIndexed.EnumFacsRemaining.

FactorStoreIndexed.EnumFacsRemaining(FactorStoreIndexed) - Constructor for class ve.FactorStoreIndexed.EnumFacsRemaining

FactorStoreIndexed.FactorLink - class ve.FactorStoreIndexed.FactorLink.

this is essentially, for each factor, a doubly linked list for each variable in the factor.

FactorStoreIndexed.FactorLink(FactorStoreIndexed, Factor) - Constructor for class ve.FactorStoreIndexed.FactorLink

FactorStoreIndexed.VariableToEliminate - class ve.FactorStoreIndexed.VariableToEliminate.

this class provides the infrastructure for the variable in the priority queue.

FactorStoreIndexed.VariableToEliminate(FactorStoreIndexed, Variable, int) - Constructor for class ve.FactorStoreIndexed.VariableToEliminate

FactorStoreIndexed(Variable[], Factor[], int) - Constructor for class ve.FactorStoreIndexed

FactorStoreRandom - class ve.FactorStoreRandom.

a place to store factors during computation.

FactorStoreRandom.FacItr - class ve.FactorStoreRandom.FacItr.

FactorStoreRandom.FacItr(FactorStoreRandom, Factor[], int) - Constructor for class ve.FactorStoreRandom.FacItr

FactorStoreRandom(Variable[], Factor[], int) - Constructor for class ve.FactorStoreRandom

generate a factor store containing the given initial factors and initial variables.

FactorStoreSequential - class ve.FactorStoreSequential.

a place to store factors during computation using a given elimination ordering

FactorStoreSequential.FacItr - class ve.FactorStoreSequential.FacItr.

FactorStoreSequential.FacItr(FactorStoreSequential, Factor[], int) - Constructor for class ve.FactorStoreSequential.FacItr

FactorStoreSequential(Variable[], Factor[], int) - Constructor for class ve.FactorStoreSequential

generate a factor store containing the given initial factors and initial variables.

FactorSumOut - class ve.FactorSumOut.

This the the class of factors that are created by summing out a set of variables from another factor.

FactorSumOut(Factor, Variable[]) - Constructor for class ve.FactorSumOut

constructs a factor with the given variables.

FactorSumOutPretend - class ve.FactorSumOutPretend.

This the the class of factors that are created by summing out a set of variables from another factor.

FactorSumOutPretend(Factor, Variable[]) - Constructor for class ve.FactorSumOutPretend

constructs a factor with the given variables.

FactorTimes - class ve.FactorTimes.

This the the class of factors that are the product of other factors.

FactorTimes.Itr - class ve.FactorTimes.Itr.

FactorTimes.Itr(FactorTimes) - Constructor for class ve.FactorTimes.Itr

FactorTimes(Factor, Factor) - Constructor for class ve.FactorTimes

constructs a factor with the given variables.

FactorUniform - class ve.FactorUniform.

This is a factor that has a uniform probability.

FactorUniform.Itr - class ve.FactorUniform.Itr.

FactorUniform.Itr(FactorUniform) - Constructor for class ve.FactorUniform.Itr

FactorUniform(Variable[], double) - Constructor for class ve.FactorUniform

constructs a factor with the given variables.

FactorUpdatable - class ve.FactorUpdatable.

This the the class of factors that can be updated from generalised rules.

FactorUpdatable - class cve.FactorUpdatable.

This the the class of factors that can be updated from generalised rules.

FactorUpdatable(Variable[]) - Constructor for class ve.FactorUpdatable

updatable factor with random values

FactorUpdatable(Variable[]) - Constructor for class cve.FactorUpdatable

constructs a factor with the given variables.

FactorUpdatable(Variable[], double) - Constructor for class ve.FactorUpdatable

constructs a factor with the given variables.

factorValues - Variable in class ve.FactorStored

is the array of stored values.

factPos() - Method in class ve.FactorObserved.Itr

given the current values of currBet, returns the position of the iterator for fact.

finalFacs - Variable in class ve.FactorStoreIndexed

finalFactors - Variable in class ve.FactorStoreSequential

G

GenRule - class cve.GenRule.

A generalised rule is a context together with a factor.

GenRule() - Constructor for class cve.GenRule

generated the new GenRule

GenRule(Context, Factor, Variable[]) - Constructor for class cve.GenRule

generate a new instance from context con and factor fact.

getContext() - Method in class cve.GenRule

returns the context.

getDomain() - Method in class ve.Variable

returns the domain, the array of values this variable can take.

getEO() - Method in class ve.Query

getEO() - Method in class ve.QueryPretend

getFactor() - Method in class cve.GenRule

returns the factor of the generalised rule.

getId() - Method in class ve.Variable

get the unique identifier of the variable

getMaxContextSize() - Method in class cve.RuleCollection

getMaxFactorSize() - Method in class ve.Query

getMaxFactorSize() - Method in class ve.QueryPretend

getMaxNumRules() - Method in class cve.RuleCollection

getMaxTableSize() - Method in class cve.RuleCollection

getName() - Method in class ve.Factor

returns string the variables this is a factor on.

getName() - Method in class ve.Variable

returns the external name of the variable

getNumProbFactors() - Method in class ve.DecisionNetwork

getNumRules() - Method in class cve.RuleCollection

getNumSplitVars() - Method in class cve.ContextualBeliefNetwork

returns the number of variables that appear in splits.

getNumVariables() - Method in class ve.DecisionNetwork

getNumVariables() - Method in class cve.ContextualBeliefNetwork

getPolicyFunction() - Method in class ve.FactorMax

returns an array of value index for the part of the optimal policy for this decision node.

getProbFactors() - Method in class ve.DecisionNetwork

return the conditional probability tables asssociated with the variables.

getResult() - Method in class ve.Query

gets the result of the query.

getResult() - Method in class ve.QueryPretend

gets the result of the query.

getResult() - Method in class cve.CVEQuery

gets the result of the query.

getResult() - Method in class cve.CVEQueryPretend

gets the result of the query.

getRules() - Method in class cve.ContextualBeliefNetwork

getRulesFor() - Method in class cve.GenRule

returns the sorted lists of rules this is a rule for

getSavingForTracing() - Method in class ve.Factor

returns true if the intermediate Factors are being saved to allow for tracing of how a value was computed.

getSize() - Method in class ve.DecisionNetwork

returns the number of paramters in the decision network.

getSize() - Method in class cve.RuleCollection

returns the number of parameters in the rule collection

getStringToVar() - Method in class ve.DecisionNetwork

returns a map from the string to a variable.

getStringToVar() - Method in class cve.ContextualBeliefNetwork

returns the map from the string name to the variable.

getTheFactor() - Method in class ve.FactorNormalise

returns the factor that is being normalised

getTheFactor() - Method in class ve.FactorSumOut

returns the factor that the variable is being summed out from

getTheFactor() - Method in class ve.FactorSumOutPretend

returns the factor that the variable is being summed out from

getTheFirstFactor() - Method in class ve.FactorTimes

gets the first factor in the product

getTheSecondFactor() - Method in class ve.FactorTimes

gets the second factor in the product

getTheVariables() - Method in class ve.FactorSumOut

returns the variables being summed out

getTheVariables() - Method in class ve.FactorSumOutPretend

returns the variables being summed out

getUnNormResult() - Method in class ve.Query

getUnNormResult() - Method in class ve.QueryPretend

getVals() - Method in class cve.Context

returns the array of values for the context.

getVariables() - Method in class ve.DecisionNetwork

get the variables of the decision network, in order.

getVariables() - Method in class ve.Factor

returns the tuple of variables, in order.

getVariables() - Method in class cve.ContextualBeliefNetwork

getVars() - Method in class cve.Context

returns the array of variables for the context.

H

hashCode() - Method in class ve.Variable

returns a code useful for hashing

hasNext() - Method in interface ve.EltsIterator

Returns true if the iterator has more elements.

hasNext() - Method in class ve.FactorAssign.Itr

hasNext() - Method in class ve.FactorDeterministic.Itr

hasNext() - Method in class ve.FactorExpand.Itr

hasNext() - Method in interface ve.FactorIterator

Returns true if the iterator has more elements.

hasNext() - Method in class ve.FactorNormalise.Itr

hasNext() - Method in class ve.FactorObserved.Itr

hasNext() - Method in class ve.FactorPlus.Itr

hasNext() - Method in class ve.FactorStore

hasNext() - Method in class ve.FactorStoreIndexed

is true if there is a next variable to eliminate.

hasNext() - Method in class ve.FactorStoreIndexed.EnumFacsRem

hasNext() - Method in class ve.FactorStoreIndexed.EnumFacsRemaining

hasNext() - Method in class ve.FactorStoreRandom

hasNext() - Method in class ve.FactorStoreRandom.FacItr

returns true if there are more elements.

hasNext() - Method in class ve.FactorStoreSequential

hasNext() - Method in class ve.FactorStoreSequential.FacItr

returns true if there are more elements.

hasNext() - Method in class ve.FactorStored.Itr

hasNext() - Method in class ve.FactorStoredPretend.Itr

hasNext() - Method in class ve.FactorTimes.Itr

hasNext() - Method in class ve.FactorUniform.Itr

hasNext() - Method in interface ve.VariableIterator

Returns true if the iterator has more elements.

hasNext() - Method in class cve.RuleCollection.Itr

returns true if there are more elements.

hasNext() - Method in interface cve.RuleIterator

Returns true if the iterator has more elements.

howCreated() - Method in class ve.Factor

returns the integer representing how it was created

howCreatedVal - Variable in class ve.Factor

I

inPars(Variable) - Method in class cve.ContextualBeliefNetworkRandom2.VarTable

insert(Variable, Variable[]) - Static method in class ve.FactorDeterministic

involves(Variable) - Method in class cve.Context

is true if this context involves variable var.

isRedundant(Variable) - Method in class ve.Factor

is true if the variable is redundant in the factor.

isRedundant(Variable, double) - Method in class ve.Factor

is true if the variable is redundant in the factor within a threshold.

it1 - Variable in class ve.FactorNormalise.Itr

iterator for fac1.

it1 - Variable in class ve.FactorPlus.Itr

iterator for fac1.

it1 - Variable in class ve.FactorTimes.Itr

iterator for fac1.

it2 - Variable in class ve.FactorPlus.Itr

iterator for fac2.

it2 - Variable in class ve.FactorTimes.Itr

iterator for fac2.

iterator() - Method in class ve.Factor

Returns an iterator over the values of the factor.

iterator() - Method in class ve.FactorAssign

iterator() - Method in class ve.FactorDeterministic

iterator() - Method in class ve.FactorExpand

Returns an iterator over the values of the factor.

iterator() - Method in class ve.FactorNormalise

iterator() - Method in class ve.FactorObserved

iterator() - Method in class ve.FactorPlus

iterator() - Method in class ve.FactorStored

iterator() - Method in class ve.FactorStoredPretend

iterator() - Method in class ve.FactorTimes

iterator() - Method in class ve.FactorUniform

iterator() - Method in class cve.RuleCollection

L

last - Variable in class ve.FactorStoreIndexed

last - Variable in class ve.FactorStoreRandom

last - Variable in class ve.FactorStoreSequential

lookup(Variable) - Method in class cve.Context

returns the value of variable var.

M

main(String[]) - Static method in class ve.Tester

main(String[]) - Static method in class ve.TesterBIF

main(String[]) - Static method in class ve.TesterWater

main(String[]) - Static method in class ve.Testerpr

main(String[]) - Static method in class cve.TesterCompare

main(String[]) - Static method in class cve.TesterCompareBIF

main(String[]) - Static method in class cve.TesterConvertToBN

main(String[]) - Static method in class cve.TesterFromVE

main(String[]) - Static method in class cve.TesterRandom

main(String[]) - Static method in class cve.Testercve

maxContextSize - Static variable in class cve.ContextualBeliefNetwork

maxContextSize - Static variable in class cve.RuleCollection

maxDomainSize - Variable in class ve.DecisionNetwork

the maximum domain size in an input factor.

maxDomainSize - Static variable in class cve.ContextualBeliefNetwork

maxFactorSize - Variable in class ve.DecisionNetwork

maximum number of variables in an input factor.

maxFactorSize - Variable in class ve.Query

maxFactorSize - Variable in class ve.QueryPretend

maxFactorSize - Static variable in class cve.ContextualBeliefNetwork

maxNumParents - Static variable in class ve.DecisionNetworkFromBIF

maxNumRules - Static variable in class cve.RuleCollection

maxSize - Variable in class cve.RuleCollection

maxTableSize - Static variable in class cve.RuleCollection

merge3VarLists(Variable[], Variable[], Variable[], int) - Method in class cve.BeliefNetFromCBN

merges three varlists, the last two of which are known to be disjoint.

mysort(Variable[]) - Static method in class ve.DecisionNetwork

N

name - Variable in class ve.Variable

the external name of the variable

neighbours - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the Variables that are neighbours.

next - Variable in class ve.FactorStoreIndexed.FactorLink

next() - Method in interface ve.EltsIterator

Returns the next element in the iteration.

next() - Method in class ve.FactorAssign.Itr

next() - Method in class ve.FactorDeterministic.Itr

next() - Method in class ve.FactorExpand.Itr

returns the next value if there is one.

next() - Method in interface ve.FactorIterator

Returns the next element in the iteration.

next() - Method in class ve.FactorNormalise.Itr

next() - Method in class ve.FactorObserved.Itr

next() - Method in class ve.FactorPlus.Itr

next() - Method in class ve.FactorStore

next() - Method in class ve.FactorStoreIndexed

returns the next variable to eliminate according to the current heuristic.

next() - Method in class ve.FactorStoreIndexed.EnumFacsRem

next() - Method in class ve.FactorStoreIndexed.EnumFacsRemaining

next() - Method in class ve.FactorStoreRandom

next() - Method in class ve.FactorStoreRandom.FacItr

returns the next element in the iterator.

next() - Method in class ve.FactorStoreSequential

next() - Method in class ve.FactorStoreSequential.FacItr

returns the next element in the iterator.

next() - Method in class ve.FactorStored.Itr

next() - Method in class ve.FactorStoredPretend.Itr

next() - Method in class ve.FactorTimes.Itr

next() - Method in class ve.FactorUniform.Itr

next() - Method in interface ve.VariableIterator

Returns the next element in the iteration.

next() - Method in class cve.RuleCollection.Itr

returns the next element in the iterator.

next() - Method in interface cve.RuleIterator

Returns the next element in the iteration.

nextFact - Variable in class ve.FactorStoreIndexed.EnumFacsRem

nextId - Static variable in class ve.Variable

the identifier of the next variable; also the number of variables assigned.

normresult - Variable in class ve.Query

normresult - Variable in class ve.QueryPretend

numExpandBlocks - Variable in class ve.FactorExpand

the number of blocks of variables to be exanded.

numFactors - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the number of factors

numFactors - Variable in class ve.FactorStoreRandom

numFinalFacs - Variable in class ve.FactorStoreIndexed

numFinalFactors - Variable in class ve.FactorStoreSequential

numNeighbours - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the number of neighbours.

numObsBlocks - Variable in class ve.FactorObserved

numParents - Variable in class cve.ContextualBeliefNetworkRandom2.VarTable

numProbFactors - Variable in class ve.DecisionNetwork

numToReturn - Variable in class ve.FactorStoreRandom.FacItr

numToReturn - Variable in class ve.FactorStoreSequential.FacItr

numVariables - Variable in class ve.DecisionNetwork

numVariables - Variable in class ve.FactorStoreIndexed

numVariables - Variable in class ve.FactorStoreRandom

numVariables - Variable in class cve.ContextualBeliefNetwork

NUMVARS - Static variable in class cve.TesterCompare

numVarsSplitOn - Variable in class cve.ContextualBeliefNetworkRandom3

numVarsToElim - Variable in class ve.FactorStoreIndexed.FactorLink

O

observe(Variable[], int[]) - Method in class cve.RuleCollection

update the factors to make the appropriate observations.

observe(Variable[], int[], RuleCollection) - Method in class cve.GenRule

adds this rule to a rule collection given the observation.

P

parents - Variable in class cve.ContextualBeliefNetworkRandom2.VarTable

parseBif(BufferedReader) - Method in class ve.DecisionNetworkFromBIF

This builds a new graph based on a string generated from a .bif file.

parseBifLine(String) - Method in class ve.DecisionNetworkFromBIF

Parses an individual "line" of a .bif file.

policyFunction - Variable in class ve.FactorMax

pos - Variable in class ve.FactorStoreIndexed.EnumFacsRemaining

posAfter - Variable in class ve.FactorAssign.Itr

posBefore - Variable in class ve.FactorAssign.Itr

positionInPQ - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the index in the priority queue.

postpos - Variable in class ve.FactorDeterministic.Itr

postSize - Variable in class ve.FactorDeterministic

prepos - Variable in class ve.FactorDeterministic.Itr

Index of element to be returned by subsequent call to next.

preSize - Variable in class ve.FactorDeterministic

prev - Variable in class ve.FactorStoreIndexed.FactorLink

print() - Method in class ve.DecisionNetwork

Prints the belief network

print() - Method in class ve.Factor

prints the Factor in a table form.

print() - Method in class cve.Context

print() - Method in class cve.ContextualBeliefNetwork

prints the contextual belief network

print() - Method in class cve.ContextualBeliefNetworkRandom2.VarTable

print() - Method in class cve.GenRule

print a generalised rule.

print() - Method in class cve.RuleCollection

prints the rule collection.

print(String) - Method in class ve.Factor

prints the Factor in a table form, with a string that is printed at the start of each line.

printBrief() - Method in class ve.DecisionNetwork

Prints a summary of the belief network

printBrief() - Method in class cve.ContextualBeliefNetwork

prints a summary of the contextual belief network

printBrief() - Method in class cve.GenRule

prints a brief summary of the rule (without the probability table).

printBrief() - Method in class cve.RuleCollection

prints the summary of the rule collection.

printPolicyFunction() - Method in class ve.FactorDeterministic

prints the policy function with no indent.

printPolicyFunction(String) - Method in class ve.FactorDeterministic

prints the policy function with indent inserted at the start of every line..

printVariables() - Method in class ve.Factor

prints the variables

probFactors - Variable in class ve.DecisionNetwork

factors representing conditional probability tables asssociates with the variables.

PROBINFACTOR - Static variable in class cve.TesterCompare

PROBSHARED - Static variable in class cve.TesterCompare

prune(Variable[], int) - Static method in class cve.FactorRandom

Q

Query - class ve.Query.

a factor that is the result of a query.

Query(Variable[], DecisionNetwork, Variable[], int[], String) - Constructor for class ve.Query

constructs the factor that answers the specific query.

Query(Variable[], DecisionNetwork, Variable[], int[], Variable[]) - Constructor for class ve.Query

QueryPretend - class ve.QueryPretend.

a factor that is the result of a query.

QueryPretend(Variable[], DecisionNetwork, Variable[], int[], String) - Constructor for class ve.QueryPretend

constructs the factor that answers the specific query.

R

readFile(String) - Static method in class ve.Tester

readFile(String) - Static method in class ve.TesterBIF

readFile(String) - Static method in class ve.TesterWater

readFile(String) - Static method in class ve.Testerpr

readFile(String) - Static method in class cve.TesterCompare

readFile(String) - Static method in class cve.TesterCompareBIF

readFile(String) - Static method in class cve.TesterConvertToBN

readFile(String) - Static method in class cve.TesterFromVE

readFile(String) - Static method in class cve.TesterRandom

readFile(String) - Static method in class cve.Testercve

recomputeSize() - Method in class ve.FactorStoreIndexed.VariableToEliminate

redundant() - Method in class cve.GenRule

is true if the rule is redundant; if it is redundant it doesn't need to be added to the rule collection.

remove() - Method in class ve.FactorStoreIndexed.FactorLink

remove(Variable) - Method in class cve.Context

returns a new context with var removed.

remove(Variable[], Variable) - Static method in class ve.FactorMax

returns the array representing the set difference of the variables.

removeVar(Variable[], Variable) - Static method in class ve.FactorAssign

removes a variable from an array of variables in which it appears.

removeVar(Variable[], Variable) - Static method in class cve.RuleCollection

removes variable var from the list of variables vars.

resetMaxTableSize() - Static method in class cve.RuleCollection

result - Variable in class ve.Query

result - Variable in class ve.QueryPretend

result - Variable in class cve.CVEQuery

result - Variable in class cve.CVEQueryPretend

RuleCollection - class cve.RuleCollection.

A rule collection is a collection of generalised rules.

RuleCollection.Itr - class cve.RuleCollection.Itr.

RuleCollection.Itr(RuleCollection) - Constructor for class cve.RuleCollection.Itr

RuleCollection() - Constructor for class cve.RuleCollection

generate an empty rule collection.

RuleCollection(int) - Constructor for class cve.RuleCollection

generate an empty rule collection with the given initial size.

RuleCollectionFromBeliefNetwork - class cve.RuleCollectionFromBeliefNetwork.

This is a rule collection that we make by adding factors.

RuleCollectionFromBeliefNetwork(DecisionNetwork, double) - Constructor for class cve.RuleCollectionFromBeliefNetwork

construces a rule collection from a belief network.

RuleCollectionFromEntropySplit - class cve.RuleCollectionFromEntropySplit.

This is a rule collection that we make by adding factors.

RuleCollectionFromEntropySplit(DecisionNetwork, double) - Constructor for class cve.RuleCollectionFromEntropySplit

construces a rule collection from a belief network.

ruleCollectionSum(RuleCollection, RuleCollection) - Static method in class cve.RuleCollection

constructs a new rule collection by adding two other rule collections.

ruleContext - Variable in class cve.GenRule

ruleFactor - Variable in class cve.GenRule

ruleFor(Variable) - Method in class cve.GenRule

is true if this rule is a rule for variable var.

RuleIterator - interface cve.RuleIterator.

An iterator over the elements of a rule collection.

rules - Variable in class cve.ContextualBeliefNetwork

rulesFor - Variable in class cve.GenRule

the variables that this is a rule for.

S

savingForTracing - Static variable in class ve.Factor

setDiff(Variable[], Variable[]) - Static method in class ve.FactorSumOut

returns the array representing the set difference of the variables.

setDiff(Variable[], Variable[]) - Static method in class ve.FactorSumOutPretend

returns the array representing the set difference of the variables.

setSavingForTracing(boolean) - Method in class ve.Factor

sets the property that the intermediate Factors are being saved to allow for tracing of how a value was computed.

shuffle(Variable[]) - Method in class ve.Query

shuffle(Variable[]) - Method in class ve.QueryPretend

shuffleDown(int) - Method in class ve.FactorStoreIndexed

make into a heap by shuffling down the value at position pos.

shuffleUp(int) - Method in class ve.FactorStoreIndexed

make into a heap by shuffling up the value at position pos.

shuffleVars() - Method in class cve.ContextualBeliefNetworkRandom3

size - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the size of the resulting factor after this variable has been eliminated.

size - Variable in class ve.FactorStoredPretend

size - Variable in class cve.RuleCollection

size() - Method in class ve.Factor

returns the size of a factor table.

sorted(Variable[]) - Static method in class ve.DecisionNetworkFromCIspaceFormat

A new constructor that takes in a vector of different sorts of variables instead of a string representation.

sorted(Variable[]) - Static method in class cve.ContextualBeliefNetworkFromText

sorted(Variable[], int) - Static method in class ve.DecisionNetworkFromBIF

stringinfyVarArray(Variable[]) - Method in class cve.BeliefNetFromCBN

stringToContext(String, int) - Method in class cve.ContextualBeliefNetworkFromText

given the string, return the parents

stringToFamily(String, int, int) - Method in class ve.DecisionNetworkFromCIspaceFormat

given the string, return the family.

stringToParents(String, int, int) - Method in class ve.DecisionNetworkFromCIspaceFormat

given the string, return the parents.

stringToParents(String, int, int) - Method in class cve.ContextualBeliefNetworkFromText

given the string, return the parents

stringToStringArray(String, int) - Static method in class ve.DecisionNetworkFromCIspaceFormat

stringToStringArray(String, int) - Static method in class cve.ContextualBeliefNetworkFromText

stringToValues(String, int) - Static method in class ve.FactorCPT

stringToVar - Variable in class ve.DecisionNetwork

maps the string name to the variable.

stringToVar - Variable in class cve.ContextualBeliefNetwork

maps the string name to the variable.

sum - Variable in class ve.FactorNormalise

the sum of the probabilities in the factor.

T

Tester - class ve.Tester.

Tester() - Constructor for class ve.Tester

TesterBIF - class ve.TesterBIF.

TesterBIF() - Constructor for class ve.TesterBIF

TesterCompare - class cve.TesterCompare.

the class that carries out comparisons on random graphs.

TesterCompare() - Constructor for class cve.TesterCompare

TesterCompareBIF - class cve.TesterCompareBIF.

TesterCompareBIF() - Constructor for class cve.TesterCompareBIF

TesterConvertToBN - class cve.TesterConvertToBN.

TesterConvertToBN() - Constructor for class cve.TesterConvertToBN

Testercve - class cve.Testercve.

a class to test cve files.

Testercve() - Constructor for class cve.Testercve

TesterFromVE - class cve.TesterFromVE.

a simple tester to extract rules from a BeliefNetwork.

TesterFromVE() - Constructor for class cve.TesterFromVE

Testerpr - class ve.Testerpr.

Testerpr() - Constructor for class ve.Testerpr

TesterRandom - class cve.TesterRandom.

TesterRandom() - Constructor for class cve.TesterRandom

TesterWater - class ve.TesterWater.

TesterWater() - Constructor for class ve.TesterWater

theAction - Variable in class ve.FactorDeterministic

theFactor - Variable in class ve.FactorSumOut

the factor that the variable is being summed out from

theFactor - Variable in class ve.FactorSumOutPretend

the factor that the variable is being summed out from

theFactors - Variable in class ve.FactorStoreRandom

theParents - Variable in class ve.FactorDeterministic

theRules - Variable in class cve.RuleCollection

thesize - Variable in class ve.Factor

the size of the factor table.

theVariables - Variable in class ve.FactorStoreRandom

theVariables - Variable in class ve.FactorStoreSequential

theVariables - Variable in class ve.FactorSumOut

the variables being summed out

theVariables - Variable in class ve.FactorSumOutPretend

the variables being summed out

toReturn - Variable in class ve.FactorStoreRandom.FacItr

toReturn - Variable in class ve.FactorStoreSequential.FacItr

toString() - Method in class ve.Factor

returns a string representation of the Factor.

traceBackTo(int, int) - Method in class ve.FactorExpand.Itr

traceCurrPos(int) - Method in class ve.FactorExpand.Itr

U

uniformVal - Variable in class ve.FactorUniform

union(Context) - Method in class cve.Context

returns the union of this context and c1.

unionVariableArrays(Variable[], Variable[]) - Static method in class cve.RuleCollection

returns the union of the two variable arrays.

unionVars(Variable[], Variable[]) - Static method in class ve.FactorPlus

returns the array representing the union of the variables.

unionVars(Variable[], Variable[]) - Static method in class ve.FactorTimes

returns the array representing the union of the variables.

uniqueId - Variable in class ve.Variable

the unique identifier of the variable.

update(GenRule) - Method in class cve.FactorUpdatable

updates every stored value corresponding to the rule.

update(int, double) - Method in class ve.FactorUpdatable

updates every stored value corresponding to the rule.

update(int, double) - Method in class cve.FactorRandom

updates every stored value corresponding to the rule.

update(int, int) - Method in class ve.FactorDeterministic

updates the decision function to have a different action at position pos.

updatefrom(GenRule, int, int, int, int, EltsIterator) - Method in class cve.FactorUpdatable

when updating by a rule, updatefrom iterates over the variables in the current factor.

V

valAssigned - Variable in class ve.FactorAssign

valsBetween - Variable in class ve.FactorExpand

the values associated with the variables between those to be expanded.

valsExpand - Variable in class ve.FactorExpand

the values associated with the variables to be expanded.

valsObserved - Variable in class ve.FactorObserved

valToMinimise() - Method in class ve.FactorStoreIndexed.VariableToEliminate

returns the value to minimize (either the deficiency or the factor size).

var - Variable in class ve.FactorStoreIndexed.VariableToEliminate

the variable

var - Variable in class cve.ContextualBeliefNetworkRandom.VarCon

var - Variable in class cve.ContextualBeliefNetworkRandom2.VarTable

var - Variable in class cve.ContextualBeliefNetworkRandom3.VarCon

Variable - class ve.Variable.

This class is the class of variables.

Variable(String, String[]) - Constructor for class ve.Variable

Variable constructor creates a variable.

VariableIterator - interface ve.VariableIterator.

An iterator over variables.

variables - Variable in class ve.DecisionNetwork

The variables of the decision network, in order.

variables - Variable in class ve.Factor

variables is the tuple of variables, in order.

variables - Variable in class cve.ContextualBeliefNetwork

varPos - Variable in class ve.FactorStoreSequential

vars - Variable in class ve.FactorStoreIndexed.FactorLink

varsPQ - Variable in class ve.FactorStoreIndexed

varsSplitOn - Variable in class cve.ContextualBeliefNetworkRandom3

varToBucketIndex - Variable in class ve.FactorStoreSequential

varToVarInQuery - Variable in class ve.FactorStoreIndexed

A B C D E F G H I L M N O P Q R S T U V