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L
- L1_metrics - Variable in class algorithm.BstarSquaredDB.L1Position.Settings
- L1_metrics - Variable in class algorithm.BstarSquaredSimple.L1Position.Settings
- L1_metrics - Variable in class algorithm.BstarSquaredSimpleMax.L1Position.Settings
- L1_metrics - Variable in class algorithm.BstarSquaredVariant.L1Position.Settings
-
Deprecated.
- L1Position(BstarSquaredDB.L1Position.Settings, P) - Constructor for class algorithm.BstarSquaredDB.L1Position
- L1Position(BstarSquaredSimple.L1Position.Settings, P) - Constructor for class algorithm.BstarSquaredSimple.L1Position
- L1Position(BstarSquaredSimpleMax.L1Position.Settings, P) - Constructor for class algorithm.BstarSquaredSimpleMax.L1Position
- L1Position(BstarSquaredVariant.L1Position.Settings, P) - Constructor for class algorithm.BstarSquaredVariant.L1Position
-
Deprecated.
- L2_metrics - Variable in class algorithm.BstarSquaredDB.L1Position.Settings
- L2_metrics - Variable in class algorithm.BstarSquaredSimple.L1Position.Settings
- L2_metrics - Variable in class algorithm.BstarSquaredSimpleMax.L1Position.Settings
- L2_metrics - Variable in class algorithm.BstarSquaredVariant.L1Position.Settings
-
Deprecated.
- leastPessimistic2(Collection<N>, boolean, MetricKeeper...) - Static method in class gametree.GameTreeNode
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Same as
GameTreeNode.findBest2(Collection, boolean, boolean, MetricKeeper...)whereby_optimisticis assumedfalse. - leastPessimisticNode() - Method in record class algorithm.SearchAlgorithm.SearchResult
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This is the position with the least pessimistic value.
- leastPessimisticNodeIndex() - Method in record class algorithm.SearchAlgorithm.SearchResult
- leastPessimisticNodes() - Method in record class algorithm.SearchAlgorithm.SearchResult
- lesserOrEqual(double[], int, int) - Static method in class utils.Probability
- lesserOrEqualFromSurvival(double[], int, int) - Static method in class utils.Probability
- level - Variable in class algorithm.BstarSquaredDB.L1Position.Settings
- level - Variable in class algorithm.BstarSquaredSimple.L1Position.Settings
- level - Variable in class algorithm.BstarSquaredSimpleMax.L1Position.Settings
- level - Variable in class algorithm.BstarSquaredVariant.L1Position.Settings
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Deprecated.
- limitEvaluations() - Method in record class algorithm.SearchAlgorithm.Limits
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Returns the value of the
limitEvaluationsrecord component. - limitExpansions() - Method in record class algorithm.SearchAlgorithm.Limits
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Returns the value of the
limitExpansionsrecord component. - limitMaxNodes() - Method in record class algorithm.SearchAlgorithm.Limits
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Returns the value of the
limitMaxNodesrecord component. - Limits(boolean, long, boolean, long, boolean, long) - Constructor for record class algorithm.SearchAlgorithm.Limits
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Creates an instance of a
Limitsrecord class. - lineParamsMax - Variable in class visualizer.TreeToXML
- lineParamsMin - Variable in class visualizer.TreeToXML
- lineWidth - Variable in class visualizer.TreeToXML
- log2fast(int) - Static method in class algorithm.Table
- lower(int) - Method in class algorithm.Table
- lower(long) - Method in class algorithm.Table
- lowerbound - Variable in class test.SimplePosition
- lowerbound() - Method in class algorithm.BstarSquaredDB.L1Position
- lowerbound() - Method in class algorithm.BstarSquaredSimple.L1Position
- lowerbound() - Method in class algorithm.BstarSquaredSimpleMax.L1Position
- lowerbound() - Method in class algorithm.BstarSquaredVariant.L1Position
-
Deprecated.
- lowerbound() - Method in class gametree.ArtificialGamePosition
- lowerbound() - Method in interface gametree.IGamePosition
-
The lower-bound value is the lower bound on the game-theoretical mini-max value of this game position.
- lowerbound() - Method in class gametree.VariantAGP
- lowerbound() - Method in record class gametree.VariantAGP.NodeInfo
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Returns the value of the
lowerboundrecord component. - lowerbound() - Method in class test.SimplePosition
- lowerbound(MetricKeeper...) - Method in class gametree.GameTreeNode
-
The lower-bound value is the lower bound on the game-theoretical mini-max value of this game position.
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