Package org.drip.graph.astar
Class VertexContextEpsilonAdmissibleHeuristic
java.lang.Object
org.drip.graph.astar.VertexContextEpsilonAdmissibleHeuristic
public class VertexContextEpsilonAdmissibleHeuristic
extends java.lang.Object
VertexContextEpsilonAdmissibleHeuristic computes the Reese (1999) Epsilon-Admissible Heuristic in
the Alpha A* Heuristic Function. The References are:
- Dechter, R., and J. Pearl (1985): Generalized Best-first Search Strategies and the Optimality of A* Journal of the ACM 32 (3) 505-536
- Hart, P. E., N. J. Nilsson, and B. Raphael (1968): A Formal Basis for the Heuristic Determination of the Minimum Cost Paths IEEE Transactions on Systems Sciences and Cybernetics 4 (2) 100-107
- Kagan, E., and I. Ben-Gal (2014): A Group Testing Algorithm with Online Informational Learning IIE Transactions 46 (2) 164-184
- Russell, S. J. and P. Norvig (2018): Artificial Intelligence: A Modern Approach 4th Edition Pearson
- Wikipedia (2020): A* Search Algorithm https://en.wikipedia.org/wiki/A*_search_algorithm
- Module = Computational Core Module
- Library = Graph Algorithm Library
- Project = Graph Optimization and Tree Construction Algorithms
- Package = A* Heuristic Shortest Path Family
- Author:
- Lakshmi Krishnamurthy
-
Constructor Summary
Constructors Constructor Description VertexContextEpsilonAdmissibleHeuristic(FHeuristic fHeuristic, VertexContextWeightHeuristic vertexContextWeightHeuristic)VertexContextEpsilonAdmissibleHeuristic Constructor -
Method Summary
Modifier and Type Method Description static VertexContextEpsilonAdmissibleHeuristicAlphaAStar(VertexFunction gHeuristic, VertexFunction hHeuristic, double smallLambda, double bigLambda)Construct the Reese (1999) Alpha A* Epsilon-Admissible Heuristic Functiondoubleevaluate(VertexContext vertexContext)Compute the Epsilon-Admissible Heuristic for the Specified Vertex ContextFHeuristicfHeuristic()Retrieve the F HeuristicVertexContextWeightHeuristicvertexContextWeightHeuristic()Retrieve the Vertex Context Weight HeuristicMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Constructor Details
-
VertexContextEpsilonAdmissibleHeuristic
public VertexContextEpsilonAdmissibleHeuristic(FHeuristic fHeuristic, VertexContextWeightHeuristic vertexContextWeightHeuristic) throws java.lang.ExceptionVertexContextEpsilonAdmissibleHeuristic Constructor- Parameters:
fHeuristic- The F HeuristicvertexContextWeightHeuristic- The Vertex Context Weight Heuristic- Throws:
java.lang.Exception- Thrown if the Inputs are Invalid
-
-
Method Details
-
AlphaAStar
public static final VertexContextEpsilonAdmissibleHeuristic AlphaAStar(VertexFunction gHeuristic, VertexFunction hHeuristic, double smallLambda, double bigLambda)Construct the Reese (1999) Alpha A* Epsilon-Admissible Heuristic Function- Parameters:
gHeuristic- The G HeuristichHeuristic- The H HeuristicsmallLambda- The Small LambdabigLambda- The Big Lambda- Returns:
- The Reese (1999) Alpha A* Epsilon-Admissible Heuristic Function
-
fHeuristic
Retrieve the F Heuristic- Returns:
- The F Heuristic
-
vertexContextWeightHeuristic
Retrieve the Vertex Context Weight Heuristic- Returns:
- The Vertex Context Weight Heuristic
-
evaluate
Compute the Epsilon-Admissible Heuristic for the Specified Vertex Context- Parameters:
vertexContext- The vertex Context- Returns:
- The Epsilon-Admissible Heuristic for the Specified Vertex Context
- Throws:
java.lang.Exception- Thrown if the Inputs are Invalid
-