参考：《算法导论》

 

@Data
@AllArgsConstructor
public class WeightGraph {
    //节点名，前驱节点，最短路径
    private List<Node<String,String,Integer>> nodes;
    //节点名,连接节点索引,边权重
    private Table<String, Integer, Integer> edgeTable;


    public static void main(String[] args) {
        //构建图
        WeightGraph graph = buildGraph();
        List<Node<String, String, Integer>> nodes = graph.getNodes();
        Table<String, Integer, Integer> edgeTable = graph.getEdgeTable();
        //已知最短路径的节点集合S
        HashSet<String> S = new HashSet<>();
        //优先队列，以最短路径为排序key
        Queue<Node<String,String, Integer>> queue = new PriorityQueue<>(Comparator.comparing(Node::getDistance));
        //节点信息的初始化,v1=0,其他未知都是无穷大
        nodes.forEach(node->{
            if (node.getName().equals("v1")) {
                node.setDistance(0);
            }
        });
        //队列初始化，将所有节点加入队列
        queue.addAll(nodes);
        while (!queue.isEmpty()) {
            //第一个获取的就是v1
            Node<String,String, Integer> nodeU = queue.remove();
            String nodeUName = nodeU.getName();
            S.add(nodeUName);
            Map<Integer, Integer> row = edgeTable.row(nodeUName);
            //对u->v节点进行松弛操作
            //如果v.d大于u.d+w(u,v),则将更小的值更新为v.d
            for (Map.Entry<Integer, Integer> entry : row.entrySet()) {
                Integer nodeVIndex = entry.getKey();
                Node<String, String, Integer> nodeV = nodes.get(nodeVIndex);
                Integer weightUV = entry.getValue();
                if (nodeV.getDistance() > nodeU.getDistance() + weightUV) {
                    nodeV.setDistance(nodeU.getDistance() + weightUV);
                    nodeV.setPre(nodeUName);
                }
            }
        }

        for (Node<String, String, Integer> node : nodes) {
            System.out.println(node.getName()+":"+node.getDistance());
        }

        System.out.println(S);
    }


    /**
     * 初始化图结构
     *
     * @return
     */
    public static WeightGraph buildGraph() {
        List<String> nodes = Lists.newArrayList("v1", "v2", "v3", "v4", "v5", "v6");
        List<Node<String, String, Integer>> nodeList = nodes.stream().map(node -> {
            Node<String, String, Integer> nodeObj = new Node<>();
            nodeObj.setName(node);
            nodeObj.setPre(null);
            nodeObj.setDistance(Integer.MAX_VALUE);
            return nodeObj;
        }).collect(Collectors.toList());

        Table<String, Integer, Integer> edgeTable = HashBasedTable.create();
        edgeTable.put("v1", nodes.indexOf("v2"), 10);
        edgeTable.put("v2", nodes.indexOf("v3"), 7);
        edgeTable.put("v4", nodes.indexOf("v3"), 4);
        edgeTable.put("v4", nodes.indexOf("v5"), 7);
        edgeTable.put("v6", nodes.indexOf("v5"), 1);
        edgeTable.put("v1", nodes.indexOf("v6"), 3);
        edgeTable.put("v6", nodes.indexOf("v2"), 2);
        edgeTable.put("v4", nodes.indexOf("v1"), 3);
        edgeTable.put("v2", nodes.indexOf("v4"), 5);
        edgeTable.put("v6", nodes.indexOf("v4"), 6);

        return new WeightGraph(nodeList,edgeTable);
    }



    /**
     * 节点名，前驱节点，最短路径
     * 也用于存储最终的最短路径数据
     *
     * @param <N>
     * @param <D>
     */
    @Data
    @AllArgsConstructor
    @NoArgsConstructor
    static class Node<N,P, D> {
        private N name;
        private P pre;
        private D distance;
    }

}

输出：

v1:0
v2:5
v3:12
v4:9
v5:4
v6:3