迪杰斯特拉算法


import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;

/**
* 迪杰斯特拉算法(Dijkstra)是从一个顶点到其余各顶点的最短路径算法,解决的是有权图中最短路径问题(权重必须不能为负)。
* 迪杰斯特拉算法主要特点是从起始点开始,采用贪心算法的策略,每次遍历到始点距离最近且未访问过的顶点的邻接节点,直到扩展到终点为止
*/
public class Dijkstra {

public static HashMap<Node, Integer> dijkstra1(Node from) {
// 从head出发到所有点的最小距离
// key : 从head出发到达key
// value : 从head出发到达key的最小距离
// 如果在表中,没有T的记录,含义是从head出发到T这个点的距离为正无穷
HashMap<Node, Integer> distanceMap = new HashMap<>();
distanceMap.put(from, 0);
// 已经求过距离的节点,存在selectedNodes中,以后再也不碰
HashSet<Node> selectedNodes = new HashSet<>();
// from 0
Node minNode = getMinDistanceAndUnselectedNode(distanceMap, selectedNodes);
while (minNode != null) {
int distance = distanceMap.get(minNode);
for (Edge edge : minNode.edges) {
Node toNode = edge.to;
if (!distanceMap.containsKey(toNode)) {
distanceMap.put(toNode, distance + edge.weight);
} else {
distanceMap.put(edge.to,
Math.min(distanceMap.get(toNode), distance + edge.weight));
}
}
selectedNodes.add(minNode);
minNode = getMinDistanceAndUnselectedNode(distanceMap, selectedNodes);
}
return distanceMap;
}

public static Node getMinDistanceAndUnselectedNode(HashMap<Node, Integer> distanceMap, HashSet<Node> touchedNodes) {
Node minNode = null;
int minDistance = Integer.MAX_VALUE;
for (Map.Entry<Node, Integer> entry : distanceMap.entrySet()) {
Node node = entry.getKey();
int distance = entry.getValue();
if (!touchedNodes.contains(node) && distance < minDistance) {
minNode = node;
minDistance = distance;
}
}
return minNode;
}

// 改进后的dijkstra算法
// 从head出发,所有head能到达的节点,生成到达每个节点的最小路径记录并返回
public static HashMap<Node, Integer> dijkstra2(Node head, int size) {
NodeHeap nodeHeap = new NodeHeap(size);
nodeHeap.addOrUpdateOrIgnore(head, 0);
HashMap<Node, Integer> result = new HashMap<>();
while (!nodeHeap.isEmpty()) {
NodeRecord record = nodeHeap.pop();
Node cur = record.node;
int distance = record.distance;
for (Edge edge : cur.edges) {
nodeHeap.addOrUpdateOrIgnore(edge.to, edge.weight + distance);
}
result.put(cur, distance);
}
return result;
}

public static class NodeRecord {

public Node node;

public int distance;

public NodeRecord(Node node, int distance) {
this.node = node;
this.distance = distance;
}

}

public static class NodeHeap {

private Node[] nodes; // 实际的堆结构

// key 某一个node, value 上面堆中的位置
private HashMap<Node, Integer> heapIndexMap;

// key 某一个节点, value 从源节点出发到该节点的目前最小距离
private HashMap<Node, Integer> distanceMap;

private int size; // 堆上有多少个点

public NodeHeap(int size) {
nodes = new Node[size];
heapIndexMap = new HashMap<>();
distanceMap = new HashMap<>();
}

public boolean isEmpty() {
return size == 0;
}

// 有一个点叫node,现在发现了一个从源节点出发到达node的距离为distance
// 判断要不要更新,如果需要的话,就更新
public void addOrUpdateOrIgnore(Node node, int distance) {
if (inHeap(node)) {
distanceMap.put(node, Math.min(distanceMap.get(node), distance));
insertHeapify(node, heapIndexMap.get(node));
}
if (!isEntered(node)) {
nodes[size] = node;
heapIndexMap.put(node, size);
distanceMap.put(node, distance);
insertHeapify(node, size++);
}
}

public NodeRecord pop() {
NodeRecord nodeRecord = new NodeRecord(nodes[0], distanceMap.get(nodes[0]));
swap(0, size - 1);
heapIndexMap.put(nodes[size - 1], -1);
distanceMap.remove(nodes[size - 1]);
// free C++同学还要把原本堆顶节点析构,对java同学不必
nodes[size - 1] = null;
heapify(0, --size);
return nodeRecord;
}

private void insertHeapify(Node node, int index) {
while (distanceMap.get(nodes[index]) < distanceMap.get(nodes[(index - 1) / 2])) {
swap(index, (index - 1) / 2);
index = (index - 1) / 2;
}
}

private void heapify(int index, int size) {
int left = index * 2 + 1;
while (left < size) {
int smallest = left + 1 < size && distanceMap.get(nodes[left + 1]) < distanceMap.get(nodes[left])
? left + 1
: left;
smallest = distanceMap.get(nodes[smallest]) < distanceMap.get(nodes[index]) ? smallest : index;
if (smallest == index) {
break;
}
swap(smallest, index);
index = smallest;
left = index * 2 + 1;
}
}

private boolean isEntered(Node node) {
return heapIndexMap.containsKey(node);
}

private boolean inHeap(Node node) {
return isEntered(node) && heapIndexMap.get(node) != -1;
}

private void swap(int index1, int index2) {
heapIndexMap.put(nodes[index1], index2);
heapIndexMap.put(nodes[index2], index1);
Node tmp = nodes[index1];
nodes[index1] = nodes[index2];
nodes[index2] = tmp;
}

}

public static class Node {

public int value;

public int in;

public int out;

public ArrayList<Node> nexts;

public ArrayList<Edge> edges;

public Node(int value) {
this.value = value;
nexts = new ArrayList<>();
edges = new ArrayList<>();
}

}

public static class Edge {

// 权重
public int weight;

public Node from;

public Node to;

public Edge(int weight, Node from, Node to) {
this.weight = weight;
this.from = from;
this.to = to;
}

}

}

/* 如有意见或建议,欢迎评论区留言;如发现代码有误,欢迎批评指正 */
原文地址:https://www.cnblogs.com/laydown/p/13670919.html