Package com.jgalgo.alg
Class TspMetricMatchingAppx
- java.lang.Object
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- com.jgalgo.alg.TspMetricMatchingAppx
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- All Implemented Interfaces:
TspMetric
public class TspMetricMatchingAppx extends Object
TSP \(3/2\)-approximation using maximum matching.The running of this algorithm is \(O(n^3)\) and it achieve \(3/2\)-approximation to the optimal TSP solution.
Based on 'Worst-Case Analysis of a New Heuristic for the Travelling Salesman Problem' by Nicos Christofides (1976).
- Author:
- Barak Ugav
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Constructor Summary
Constructors Constructor Description TspMetricMatchingAppx()Create a new TSP \(3/2\)-approximation algorithm.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description <V,E>
Path<V,E>computeShortestTour(Graph<V,E> g, WeightFunction<E> w)Compute the shortest tour that visit all vertices.
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Method Detail
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computeShortestTour
public <V,E> Path<V,E> computeShortestTour(Graph<V,E> g, WeightFunction<E> w)
Description copied from interface:TspMetricCompute the shortest tour that visit all vertices.Note that this problem is NP-hard and therefore the result is only the best approximation the implementation could find. If
gis anIntGraph, aIPathobject is returned. In that case, its better to pass aIWeightFunctionaswto avoid boxing/unboxing.- Specified by:
computeShortestTourin interfaceTspMetric- Type Parameters:
V- the vertices typeE- the edges type- Parameters:
g- a graph containing all the vertices the tour must visit, using its edgesw- an edge weight function. In the metric world every three vertices \(u,v,w\) should satisfy \(w((u,v)) + w((v,w)) \leq w((u,w))$- Returns:
- a result object containing the list of the \(n\) vertices ordered by the calculated path. If the
graph contains no vertices,
nullis returned
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