S-Index

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S

s - Variable in class algorithm.BstarSquaredDB.L1Position
s - Variable in class algorithm.BstarSquaredSimple.L1Position
s - Variable in class algorithm.BstarSquaredSimpleMax.L1Position
s - Variable in class algorithm.BstarSquaredVariant.L1Position: Deprecated.
safeSum(long, long) - Static method in class gametree.ArtificialGamePosition: Sums two values such that the result does not 'overflow' from positive to negative or vice versa.
savedChildren() - Method in class gametree.DepthFirstNode.RootDFNode: Returns the children from DepthFirstNode.RootDFNode._children(MetricKeeper...) if they are present, and an Optional.empty() otherwise.
savedChildren() - Method in class gametree.DepthFirstNode: Always returns an Optional.empty() object, because this class never saves children nodes.
savedChildren() - Method in class gametree.GameTreeNode
savedChildren() - Method in class gametree.ResultTreeNode
savedChildren() - Method in class gametree.SearchTreeNode
savedChildren() - Method in class test.SimpleNode
search(P, SearchAlgorithm.Limits, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm: Initiates the search of the provided game tree without time limits.
search(P, Table, SearchAlgorithm.Limits, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTable: Initiates the search of the provided game tree without time limits.
search(P, Table, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTable: Initiates the search of the provided game tree without time or spatial limits.
search(P, Table, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.DfBstar: Deprecated.
search(P, Table, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.DfBstar2
search(P, Table, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.DfBstar3
search(P, Table, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.DfBstarDB
search(P, Table, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTable: Initiates the search of the provided game tree with a given time limit and spatial limit.
search(P, Table, Duration, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTable: Initiates the search of the provided game tree without spatial limits.
search(P, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm: Initiates the search of the provided game tree without time or spatial limits.
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarBasic
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarBasicDB
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarSquaredDB
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarSquaredSimple
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarSquaredSimpleMax
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarSquaredVariant: Deprecated.
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm: Initiates the search of the provided game tree with a given time limit and spatial limit.
search(P, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTable: Initiates the search of the provided game tree with a given time limit and spatial limit.
search(P, Duration, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm: Initiates the search of the provided game tree without spatial limits.
SearchAlgorithm - Interface in algorithm: General interface for all search algorithms.
SearchAlgorithm.Limits - Record Class in algorithm: The limits imposed on the search.
SearchAlgorithm.SearchResult<N,P> - Record Class in algorithm: Encapsulates the results and metrics captured from an adversarial tree search.
SearchAlgorithm.SearchWithTable - Interface in algorithm: This represents a search algorithm which primarily stores search results in a transposition table.
SearchAlgorithm.SearchWithTree - Interface in algorithm: This represents a search algorithm which can search a given tree and modify it during search.
SearchResult(N, MetricKeeper...) - Constructor for record class algorithm.SearchAlgorithm.SearchResult: Creates an instance of a SearchResult record class.
SearchTreeNode - Class in gametree: Implementation of GameTreeNode that stores all nodes directly in memory.
SearchTreeNode(SearchTreeNode.Settings, SearchTreeNode, P, MetricKeeper...) - Constructor for class gametree.SearchTreeNode
SearchTreeNode(SearchTreeNode.Settings, P, MetricKeeper...) - Constructor for class gametree.SearchTreeNode
SearchTreeNode.Settings - Class in gametree: A class that stores the settings for a SearchTreeNode tree.
searchWithTree(N, SearchAlgorithm.Limits, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTree: Initiates the search of the provided game tree without time limits.
searchWithTree(N, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTree: Initiates the search of the provided game tree without time or spatial limits.
searchWithTree(N, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarBasic
searchWithTree(N, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in class algorithm.BstarBasicDB
searchWithTree(N, Duration, SearchAlgorithm.Limits, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTree: Initiates the search of the provided game tree with a given time limit and spatial limit.
searchWithTree(N, Duration, MetricKeeper...) - Method in interface algorithm.SearchAlgorithm.SearchWithTree: Initiates the search of the provided game tree without spatial limits.
secondbest() - Method in record class gametree.GameTreeNode.Result: Returns the value of the secondbest record component.
selectNext(N, boolean, MetricKeeper...) - Method in class algorithm.BstarBasic
selectNext(N, boolean, MetricKeeper...) - Method in class algorithm.BstarBasicDB
selectNextDB(N, double, double, MetricKeeper...) - Method in class algorithm.BstarBasicDB
selectNode(int) - Method in class visualizer.TextExplorer
separation(GameTreeNode<?, ?>, MetricKeeper...) - Static method in class gametree.GameTreeNode
separation(MetricKeeper...) - Method in record class gametree.GameTreeNode.Result: Separation occurs when one node in a set of children is strictly better than its siblings.
separation(Collection<N>, boolean, MetricKeeper...) - Static method in class gametree.GameTreeNode
SEPARATION - Static variable in interface algorithm.StopCondition
setAllowModifications(boolean) - Method in class gametree.SearchTreeNode
setBounds(double, double) - Method in class gametree.SearchTreeNode
setChildren(Collection<SearchTreeNode>) - Method in class gametree.SearchTreeNode
setColorsDefault() - Method in class visualizer.TreeToXML
setColorsGray() - Method in class visualizer.TreeToXML
setDebug(boolean) - Method in class algorithm.DebugPrinter
setDebug(long, long) - Method in class algorithm.DebugPrinter
setDebugLong(boolean) - Method in class algorithm.DebugPrinter
setDepth(int) - Method in class visualizer.TextExplorer
setDepthIncrement(long) - Method in class algorithm.DfBstar2: Whenever the search reaches a depth beyond the maximum depth, it returns to the root and increases the search depth by DfBstar2.depthIncrement before continuing the search.
setDepthIncrement(long) - Method in class algorithm.DfBstar3: Whenever the search reaches a depth beyond the maximum depth, it returns to the root and increases the search depth by DfBstar3.depthIncrement before continuing the search.
setDepthIncrement(long) - Method in class algorithm.DfBstarDB: Whenever the search reaches a depth beyond the maximum depth, it returns to the root and increases the search depth by DfBstarDB.depthIncrement before continuing the search.
setExperimentalBoundsSaving(boolean) - Method in class algorithm.Table: Whether to save the tightest bounds among both entries when a collision leads to the same node.
setFilterTerminalNodes(boolean) - Method in class algorithm.BstarBasic
setFilterTerminalNodes(boolean) - Method in class algorithm.BstarBasicDB
setInitialMaxDepth(long) - Method in class algorithm.DfBstar2: Whenever the search reaches a depth beyond the maximum depth, it returns to the root and increases the search depth by DfBstar2.depthIncrement before continuing the search.
setInitialMaxDepth(long) - Method in class algorithm.DfBstar3: Whenever the search reaches a depth beyond the maximum depth, it returns to the root and increases the search depth by DfBstar3.depthIncrement before continuing the search.
setInitialMaxDepth(long) - Method in class algorithm.DfBstarDB: Whenever the search reaches a depth beyond the maximum depth, it returns to the root and increases the search depth by DfBstarDB.depthIncrement before continuing the search.
setInitialStackSize(long) - Method in class algorithm.DfBstar2: Whenever the search runs out of stack-size, it returns to the root and increases the stack-size limit by a factor of 2 before continuing the search.
setInitialStackSize(long) - Method in class algorithm.DfBstar3: Whenever the search runs out of stack-size, it returns to the root and increases the stack-size limit by a factor of 2 before continuing the search.
setInitialStackSize(long) - Method in class algorithm.DfBstarDB: Whenever the search runs out of stack-size, it returns to the root and increases the stack-size limit by a factor of 2 before continuing the search.
setLevel(int) - Method in class algorithm.BstarSquaredDB
setLevel(int) - Method in class algorithm.BstarSquaredSimple
setLevel(int) - Method in class algorithm.BstarSquaredSimpleMax
setLinesToCurves() - Method in class visualizer.TreeToXML
setLinesToElbow() - Method in class visualizer.TreeToXML
setLinesToStraight() - Method in class visualizer.TreeToXML
setLocale(Locale) - Method in class algorithm.DebugPrinter
setMaxRootlessUpdates(long) - Method in class algorithm.BstarBasic: Sets the maximum number of rootless back-propagations made by the search until a back-propagation to the root is forced.
setMaxRootlessUpdates(long) - Method in class algorithm.BstarBasicDB
setMetrics(MetricKeeper) - Method in class visualizer.TextExplorer
setNodeCount(long) - Method in class gametree.MetricKeeper
setParent(N) - Method in class gametree.GameTreeNode
setRandomChance(double) - Method in class algorithm.BstarBasic
setRandomChance(double) - Method in class algorithm.BstarBasicDB
settings - Variable in class gametree.ArtificialGamePosition: The ArtificialGamePosition.Settings object which characterises the tree this node is from.
settings - Variable in class gametree.SearchTreeNode
settings - Variable in class gametree.VariantAGP: The VariantAGP.Settings object which characterises the tree this node is from.
settings() - Method in class gametree.SearchTreeNode
Settings() - Constructor for class gametree.SearchTreeNode.Settings
Settings(boolean, long, boolean, long, boolean) - Constructor for class gametree.SearchTreeNode.Settings: [NOTE] if 'enable_position_pruning', 'enable_irrelevance_pruning' and 'incorrect_bounds_protection' are all true, re-visited irrelevant nodes may trigger a null error.
Settings(boolean, long, int, long, int, double, double) - Constructor for class gametree.ArtificialGamePosition.Settings: Initialises the artificial game tree settings with the provided parameter values.
Settings(boolean, long, int, long, int, double, double, boolean) - Constructor for class gametree.ArtificialGamePosition.Settings: Initialises the artificial game tree settings with the provided parameter values.
Settings(boolean, long, int, Generator.Width, long, Generator.Bounds, double, double) - Constructor for class gametree.VariantAGP.Settings
Settings(int, Instant, SearchAlgorithm.Limits, Duration, MetricKeeper, MetricKeeper, MetricKeeper, MetricKeeper[], StrategyFunction[]) - Constructor for class algorithm.BstarSquaredDB.L1Position.Settings
Settings(int, Instant, SearchAlgorithm.Limits, Duration, MetricKeeper, MetricKeeper, MetricKeeper, MetricKeeper[], StrategyFunction[]) - Constructor for class algorithm.BstarSquaredSimple.L1Position.Settings
Settings(int, Instant, SearchAlgorithm.Limits, Duration, MetricKeeper, MetricKeeper, MetricKeeper, MetricKeeper[], StrategyFunction[]) - Constructor for class algorithm.BstarSquaredSimpleMax.L1Position.Settings
Settings(int, Instant, SearchAlgorithm.Limits, Duration, MetricKeeper, MetricKeeper, MetricKeeper, MetricKeeper[], StrategyFunction[]) - Constructor for class algorithm.BstarSquaredVariant.L1Position.Settings: Deprecated.
Settings(long, long) - Constructor for class gametree.SearchTreeNode.Settings
Settings(long, long, boolean) - Constructor for class gametree.SearchTreeNode.Settings
setTree(GameTreeNode<?, ?>) - Method in class visualizer.TextExplorer
setTree(SearchTreeNode<BstarSquaredDB.L1Position>) - Method in class algorithm.BstarSquaredDB.L1Position
setTree(SearchTreeNode<BstarSquaredSimple.L1Position>) - Method in class algorithm.BstarSquaredSimple.L1Position
setTree(SearchTreeNode<BstarSquaredSimpleMax.L1Position>) - Method in class algorithm.BstarSquaredSimpleMax.L1Position
setTree(SearchTreeNode<BstarSquaredVariant.L1Position>) - Method in class algorithm.BstarSquaredVariant.L1Position: Deprecated.
setTreeFrozen(boolean) - Method in class gametree.SearchTreeNode: Freezes or un-freezes the SearchTreeNode tree this node is a part of.
SimpleNode - Class in test: Implementation of GameTreeNode that only acts as a facade for the underlying tree expressed by the P implementation of IGamePosition.
SimpleNode(P) - Constructor for class test.SimpleNode
SimpleNode(SimpleNode, P) - Constructor for class test.SimpleNode
SimplePosition - Class in test: A basic implementation of IGamePosition which allows for adding of children to the tree and setting their values.
SimplePosition(boolean, double, double) - Constructor for class test.SimplePosition
SimplePosition(double, double) - Constructor for class test.SimplePosition
SimplePosition(SimplePosition, boolean, double, double) - Constructor for class test.SimplePosition
size() - Method in class experiment.CompareAlgorithms.AlgoSetup
size(int) - Method in class experiment.CompareAlgorithms.AlgoSetup
sizeOfTable(int) - Static method in class algorithm.Table
sizes() - Method in record class experiment.TestDfBstar.Result: Returns the value of the sizes record component.
softCollisions() - Method in record class algorithm.Table.Metrics: Returns the value of the softCollisions record component.
softCols() - Method in record class experiment.TestDfBstar.Result: Returns the value of the softCols record component.
solution() - Method in record class experiment.TestDfBstar.Result: Returns the value of the solution record component.
solved() - Method in record class experiment.TestDfBstar.Result: Returns the value of the solved record component.
space_limit - Variable in class algorithm.BstarSquaredDB.L1Position.Settings
space_limit - Variable in class algorithm.BstarSquaredSimple.L1Position.Settings
space_limit - Variable in class algorithm.BstarSquaredSimpleMax.L1Position.Settings
space_limit - Variable in class algorithm.BstarSquaredVariant.L1Position.Settings: Deprecated.
Squared - Enum constant in enum class experiment.Experiment1.Type
start - Variable in class algorithm.BstarSquaredDB.L1Position.Settings
start - Variable in class algorithm.BstarSquaredSimple.L1Position.Settings
start - Variable in class algorithm.BstarSquaredSimpleMax.L1Position.Settings
start - Variable in class algorithm.BstarSquaredVariant.L1Position.Settings: Deprecated.
start() - Method in class visualizer.TextExplorer
startExpansionRatePrinter(ExecutorService) - Static method in class experiment.CompareAlgorithms: Temporary method used to print the rate of expansion during runs.
STEADY_SHRINK(long, long) - Static method in interface gametree.Generator: Generates nodes with a fixed range defined as the parent's range minus a random variable.
StopCondition - Interface in algorithm: A stop condition for B* search.
stopSearching(GameTreeNode<?, ?>, MetricKeeper...) - Method in interface algorithm.StopCondition
StrategyFunction - Interface in algorithm: The heuristic function for determining the strategy at the root of any B* search.
StrategyFunction.Deterministic - Interface in algorithm
StrategyFunction.HeuristicFunction - Interface in algorithm
StrategyFunction.NonDeterministic - Interface in algorithm
strategyFunctions - Variable in class algorithm.BstarSquaredDB.L1Position.Settings
strategyFunctions - Variable in class algorithm.BstarSquaredSimple.L1Position.Settings
strategyFunctions - Variable in class algorithm.BstarSquaredSimpleMax.L1Position.Settings
strategyFunctions - Variable in class algorithm.BstarSquaredVariant.L1Position.Settings: Deprecated.
subComponentLockState - Variable in class visualizer.TreeToXML
survivalFunction(int, MetricKeeper...) - Method in class gametree.GameTreeNode: Computes the Survival Function P(X ≥ x) of this node, assuming that the distribution is a discrete one.
survivalToPMF(double[]) - Static method in class utils.Probability: Converts a Survival function P(X ≥ t) to the respective distribution's PMF P(X = t).
sweep(P, Supplier<StrategyFunction>, int, Duration) - Static method in class experiment.TestDfBstar
SWEEP_VALUES - Static variable in class experiment.TestDfBstar

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