 org.jgrapht.alg.shortestpath

## Class EppsteinKShortestPath<V,E>

• Type Parameters:
V - the graph vertex type
E - the graph edge type
All Implemented Interfaces:
KShortestPathAlgorithm<V,E>

public class EppsteinKShortestPath<V,E>
extends Object
implements KShortestPathAlgorithm<V,E>
Implementation of the Eppsteins algorithm for finding $k$ shortest path between two vertices in a graph.

The algorithm is originally described in: David Eppstein. 1999. Finding the k Shortest Paths. SIAM J. Comput. 28, 2 (February 1999), 652-673. DOI=http://dx.doi.org/10.1137/S0097539795290477.

The main advantage ot this algorithm is that it achieves the complexity of $O(m + n\log n + k\log k)$ while guaranteeing that the paths are produced in sorted order by weight, where $m$ is the number of edges in the graph, $n$ is the number of vertices in the graph and $k$ is the number of paths needed.

This implementation can only be used for directed simple graphs.

Author:
Semen Chudakov
EppsteinShortestPathIterator
• ### Constructor Summary

Constructors
Constructor and Description
EppsteinKShortestPath(Graph<V,E> graph)
Constructs the algorithm instance for the given graph.
• ### Method Summary

All Methods
Modifier and Type Method and Description
List<GraphPath<V,E>> getPaths(V source, V sink, int k)
Computes k shortest paths between source and sink.
• ### Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
• ### Constructor Detail

• #### EppsteinKShortestPath

public EppsteinKShortestPath(Graph<V,E> graph)
Constructs the algorithm instance for the given graph.
Parameters:
graph - graph
• ### Method Detail

• #### getPaths

public List<GraphPath<V,E>> getPaths(V source,
V sink,
int k)
Computes k shortest paths between source and sink. If the number of paths is denoted by $n$, the method returns $m = min\{k, n\}$ such paths. The paths are produced in sorted order by weights.
Specified by:
getPaths in interface KShortestPathAlgorithm<V,E>
Parameters:
source - the source vertex
sink - the target vertex
k` - the number of shortest paths to return
Returns:
a list of k shortest paths 