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D
- DB - Variable in class algorithm.DfBstar
-
Deprecated.
- DB - Variable in class algorithm.DfBstar2
- DB - Variable in class algorithm.DfBstar3
- DB - Variable in class algorithm.DfBstarDB
- debug(boolean, String) - Method in class algorithm.DebugPrinter
- debug(boolean, String, Object...) - Method in class algorithm.DebugPrinter
- debug(boolean, Locale, String, Object...) - Method in class algorithm.DebugPrinter
- debug(String) - Method in class algorithm.DebugPrinter
- debug(String, Object...) - Method in class algorithm.DebugPrinter
- debug(Locale, String, Object...) - Method in class algorithm.DebugPrinter
- debugL(boolean, String) - Method in class algorithm.DebugPrinter
- debugL(boolean, String, Object...) - Method in class algorithm.DebugPrinter
- debugL(boolean, Locale, String, Object...) - Method in class algorithm.DebugPrinter
- debugL(String) - Method in class algorithm.DebugPrinter
- debugL(String, Object...) - Method in class algorithm.DebugPrinter
- debugL(Locale, String, Object...) - Method in class algorithm.DebugPrinter
- DebugPrinter - Class in algorithm
-
A simple debug class.
- DebugPrinter() - Constructor for class algorithm.DebugPrinter
- DebugPrinter(Locale) - Constructor for class algorithm.DebugPrinter
- debugS(boolean, String) - Method in class algorithm.DebugPrinter
- debugS(boolean, String, Object...) - Method in class algorithm.DebugPrinter
- debugS(boolean, Locale, String, Object...) - Method in class algorithm.DebugPrinter
- debugS(String) - Method in class algorithm.DebugPrinter
- debugS(String, Object...) - Method in class algorithm.DebugPrinter
- debugS(Locale, String, Object...) - Method in class algorithm.DebugPrinter
- DEFAULT(int) - Static method in interface gametree.Generator
-
Generates nodes with the same distribution as
ArtificialGamePositionwith the suppliednum_altsvariable. - depth() - Method in class gametree.GameTreeNode
- depth() - Method in record class gametree.VariantAGP.NodeInfo
-
Returns the value of the
depthrecord component. - depthCommand(String) - Method in class visualizer.TextExplorer
- DepthFirst - Enum constant in enum class experiment.Experiment1.Type
- DepthFirstNode<P> - Class in gametree
-
GameTreeNode implementation that does not store children nodes, but does store the depth of bounds and the bounds themselves.
- DepthFirstNode(DepthFirstNode<P>, P, MetricKeeper...) - Constructor for class gametree.DepthFirstNode
- DepthFirstNode.RootDFNode<P> - Class in gametree
-
An optional variant of the DepthFirstNode which stores the nodes at depth 1 in memory.
- depthOfLower() - Method in class algorithm.BstarSquaredDB.L1Position
- depthOfLower() - Method in class algorithm.BstarSquaredSimple.L1Position
- depthOfLower() - Method in class algorithm.BstarSquaredSimpleMax.L1Position
- depthOfLower() - Method in class algorithm.BstarSquaredVariant.L1Position
-
Deprecated.
- depthOfLower(MetricKeeper...) - Method in class gametree.GameTreeNode
-
Depth-of-lowerbound is the depth from which the lower bound of this node has been backed up.
- depthOfUpper() - Method in class algorithm.BstarSquaredDB.L1Position
- depthOfUpper() - Method in class algorithm.BstarSquaredSimple.L1Position
- depthOfUpper() - Method in class algorithm.BstarSquaredSimpleMax.L1Position
- depthOfUpper() - Method in class algorithm.BstarSquaredVariant.L1Position
-
Deprecated.
- depthOfUpper(MetricKeeper...) - Method in class gametree.GameTreeNode
-
Depth-of-upperbound is the depth from which the upper bound of this node has been backed up.
- describe() - Method in record class algorithm.SearchAlgorithm.SearchResult
- describe() - Method in class gametree.MetricKeeper
- DfBstar - Class in algorithm
-
Deprecated.
- DfBstar(StopCondition, StrategyFunction, double, double) - Constructor for class algorithm.DfBstar
-
Deprecated.
- DfBstar(StrategyFunction, double, double) - Constructor for class algorithm.DfBstar
-
Deprecated.
- DfBstar2 - Class in algorithm
-
This is the df-B* implementation applied in the thesis.
- DfBstar2(StopCondition, StrategyFunction, double, double) - Constructor for class algorithm.DfBstar2
- DfBstar2(StrategyFunction, double, double) - Constructor for class algorithm.DfBstar2
- DfBstar3 - Class in algorithm
-
This implementation of df-B* with initial node selection inspired by B* Disprove-Best, but not exactly following it.
- DfBstar3(StopCondition, StrategyFunction, double, double, double) - Constructor for class algorithm.DfBstar3
- DfBstar3(StrategyFunction, double, double, double) - Constructor for class algorithm.DfBstar3
- DfBstarDB - Class in algorithm
-
This implementation of df-B* applies concepts from B* Disprove-Best into the internal node selection procedure.
- DfBstarDB(StopCondition, StrategyFunction, double, double, double) - Constructor for class algorithm.DfBstarDB
- DfBstarDB(StrategyFunction, double, double, double) - Constructor for class algorithm.DfBstarDB
- disableIrrelevancePruning() - Method in class gametree.SearchTreeNode
-
Disables pruning of irrelevant children nodes in the entire tree.
- disableMaxRootlessUpdates() - Method in class algorithm.BstarBasic
-
Disable the limit on the number of rootless back-propagations made by the search.
- disableMaxRootlessUpdates() - Method in class algorithm.BstarBasicDB
- disablePositionPruning() - Method in class gametree.SearchTreeNode
-
Disables pruning of game positions
GameTreeNode.position()values for nodes after they have been expanded and evaluated - which is enabled by callingSearchTreeNode.enablePositionPruning(long)on any node of the tree. - disableRandomChance() - Method in class algorithm.BstarBasic
- disableRandomChance() - Method in class algorithm.BstarBasicDB
- discreteUniform(int, int, boolean) - Static method in class utils.Probability
- DISPROVEREST - Static variable in interface algorithm.StrategyFunction
-
will use DISPROVEREST where possible
- distribution - Variable in class gametree.VariantAGP.Settings
-
Distribution of node bounds, returned array should have length of at least
1containing a lower and upper bound for the node of which the information is given in theVariantAGP.NodeInfoobject (bounds are determined by taking the minimum and maximum values from the returned array). - diveCommand(String) - Method in class visualizer.TextExplorer
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