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/*
 * (C) Copyright 2017-2021, by Dimitrios Michail and Contributors.
 *
 * JGraphT : a free Java graph-theory library
 *
 * See the CONTRIBUTORS.md file distributed with this work for additional
 * information regarding copyright ownership.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Eclipse Public License 2.0 which is available at
 * http://www.eclipse.org/legal/epl-2.0, or the
 * GNU Lesser General Public License v2.1 or later
 * which is available at
 * http://www.gnu.org/licenses/old-licenses/lgpl-2.1-standalone.html.
 *
 * SPDX-License-Identifier: EPL-2.0 OR LGPL-2.1-or-later
 */
package org.jgrapht.alg.tour;

import org.jgrapht.*;
import org.jgrapht.alg.spanning.*;
import org.jgrapht.graph.*;
import org.jgrapht.traverse.*;
import org.jgrapht.util.*;

import java.util.*;

/**
 * A 2-approximation algorithm for the metric TSP problem.
 *
 * 

* The travelling salesman problem (TSP) asks the following question: "Given a list of cities and * the distances between each pair of cities, what is the shortest possible route that visits each * city exactly once and returns to the origin city?". In the metric TSP, the intercity distances * satisfy the triangle inequality. * *

* This is an implementation of the folklore algorithm which returns a depth-first ordering of the * minimum spanning tree. The algorithm is a 2-approximation assuming that the instance satisfies * the triangle inequality. The implementation requires the input graph to be undirected and * complete. The running time is $O(|V|^2 \log |V|)$. * *

* See wikipedia for more * details. * * @param the graph vertex type * @param the graph edge type * * @author Dimitrios Michail */ public class TwoApproxMetricTSP extends HamiltonianCycleAlgorithmBase { /** * Computes a 2-approximate tour. * * @param graph the input graph * @return a tour * @throws IllegalArgumentException if the graph is not undirected * @throws IllegalArgumentException if the graph is not complete * @throws IllegalArgumentException if the graph contains no vertices */ @Override public GraphPath getTour(Graph graph) { checkGraph(graph); Set vertices = graph.vertexSet(); int n = vertices.size(); if (vertices.size() == 1) { return getSingletonTour(graph); } // Create MST Graph mst = new SimpleGraph<>(null, DefaultEdge::new, false); vertices.forEach(mst::addVertex); for (E e : new KruskalMinimumSpanningTree<>(graph).getSpanningTree().getEdges()) { mst.addEdge(graph.getEdgeSource(e), graph.getEdgeTarget(e)); } // Perform a depth-first-search traversal Set found = CollectionUtil.newHashSetWithExpectedSize(n); List tour = new ArrayList<>(n + 1); V start = vertices.iterator().next(); Iterator dfsIt = new DepthFirstIterator<>(mst, start); while (dfsIt.hasNext()) { V v = dfsIt.next(); if (found.add(v)) { tour.add(v); } } // Explicitly build the path. return vertexListToTour(tour, graph); } }





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