/* * Copyright 2014-present Open Networking Laboratory * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.onlab.graph; /** * Bellman-Ford graph search algorithm for locating shortest-paths in * directed graphs that may contain negative cycles. */ public class BellmanFordGraphSearch<V extends Vertex, E extends Edge<V>> extends AbstractGraphPathSearch<V, E> { @Override protected Result<V, E> internalSearch(Graph<V, E> graph, V src, V dst, EdgeWeigher<V, E> weigher, int maxPaths) { // Prepare the graph search result. DefaultResult result = new DefaultResult(src, dst, maxPaths); // The source vertex has cost 0, of course. result.updateVertex(src, null, weigher.getInitialWeight(), true); int max = graph.getVertexes().size() - 1; for (int i = 0; i < max; i++) { // Relax, if possible, all egress edges of the current vertex. for (E edge : graph.getEdges()) { if (result.hasCost(edge.src())) { result.relaxEdge(edge, result.cost(edge.src()), weigher); } } } // Remove any vertexes reached by traversing edges with negative weights. for (E edge : graph.getEdges()) { if (result.hasCost(edge.src())) { if (result.relaxEdge(edge, result.cost(edge.src()), weigher)) { result.removeVertex(edge.dst()); } } } // Finally, but the paths on the search result and return. result.buildPaths(); return result; } }