图最短路径之BellmanFord

定义

贝尔曼-福特算法，可以从给定一个图和图中的源顶点src，找到从src到给定图中所有顶点的最短路径。该图可能包含负权重边。相对于Dijkstra算法的优势是可以处理负权重边，缺点则是复杂度高于Dijkstra 。具体算法的详细解析请参考https://www.geeksforgeeks.org/bellman-ford-algorithm-dp-23/，以下代码也是参考https://www.geeksforgeeks.org/bellman-ford-algorithm-dp-23/，只是根据自己的需要增加了一些东西。

package graph.bellman_ford;
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import lombok.Data;
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public class Graph {
    private final int vertexCount;
    private final int edgeCount;
    private final Edge[] edge;
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    public Graph(int vertexCount, int edgeCount, Edge[] edge) {
        this.vertexCount = vertexCount;
        this.edgeCount = edgeCount;
        this.edge = edge;
    }
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    @Data
    public static class Edge {
        Vertex source;
        Vertex destination;
        int weight;
    }
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    @Data
    public static class Vertex {
        int sequence;
        String code;
        String name;
    }
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    public void bellmanFord(Graph graph, int src) {
        int[] distance = new int[vertexCount];
        
        for (int i = 0; i < vertexCount; ++i) {
            distance[i] = Integer.MAX_VALUE;
        }
        distance[src] = 0;
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        for (int i = 1; i < vertexCount; ++i) {
            for (int j = 0; j < edgeCount; ++j) {
                int u = graph.edge[j].source.sequence;
                int v = graph.edge[j].destination.sequence;
                int weight = graph.edge[j].weight;
                if (distance[u] != Integer.MAX_VALUE && distance[u] + weight < distance[v]) {
                    distance[v] = distance[u] + weight;
                }
            }
        }
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        for (int j = 0; j < edgeCount; ++j) {
            int u = graph.edge[j].source.sequence;
            int v = graph.edge[j].destination.sequence;
            int weight = graph.edge[j].weight;
            if (distance[u] != Integer.MAX_VALUE && distance[u] + weight < distance[v]) {
                return;
            }
        }
        printArr(distance, vertexCount);
    }
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    public void printArr(int[] distance, int vertexCount) {
        for (int i = 0; i < vertexCount; ++i) {
            System.out.println(i + "\t\t" + distance[i]);
        }
    }
}

测试

package graph.bellman_ford;
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import java.util.ArrayList;
import java.util.List;
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public class ShortestPathOfBellmanFord {
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    public static void main(String[] args) {
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        List<Graph.Vertex> vertexList = new ArrayList<>();
        for (int i = 0; i < 5; i++) {
            Graph.Vertex vertex = new Graph.Vertex();
            vertex.code = "code" + i;
            vertex.name = "name" + i;
            vertex.sequence = i;
            vertexList.add(vertex);
        }
        Graph.Edge[] edges = new Graph.Edge[8];
        for (int i = 0; i < edges.length; i++) {
            edges[i] = new Graph.Edge();
        }
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        // edge 0 --> 1
        edges[0].source = vertexList.get(0);
        edges[0].destination = vertexList.get(1);
        edges[0].weight = -1;
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        // edge 0 --> 2
        edges[1].source = vertexList.get(0);
        edges[1].destination = vertexList.get(2);
        edges[1].weight = 4;
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        // edge 1 --> 2
        edges[2].source = vertexList.get(1);
        edges[2].destination = vertexList.get(2);
        edges[2].weight = 3;
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        // edge 1 --> 3
        edges[3].source = vertexList.get(1);
        edges[3].destination = vertexList.get(3);
        edges[3].weight = 2;
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        // edge 1 --> 4
        edges[4].source = vertexList.get(1);
        edges[4].destination = vertexList.get(4);
        edges[4].weight = 2;
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        // edge 3 --> 2
        edges[5].source = vertexList.get(3);
        edges[5].destination = vertexList.get(2);
        edges[5].weight = 5;
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        // edge 3 --> 1
        edges[6].source = vertexList.get(3);
        edges[6].destination = vertexList.get(1);
        edges[6].weight = 1;
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        // edge  4--> 3
        edges[7].source = vertexList.get(4);
        edges[7].destination = vertexList.get(3);
        edges[7].weight = -3;
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        Graph graph = new Graph(5, 8, edges);
        graph.bellmanFord(graph, 0);
    }
}

图最短路径之BellmanFord

原文：https://www.cnblogs.com/wkynf/p/15202669.html