Class | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

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 `Variable`s (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 `ContextualBeliefNetwork`s 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

Class | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES