使用java写一个迪杰斯特拉算法
时间: 2024-09-13 20:17:55 浏览: 36
在Java中,我们可以使用邻接矩阵或邻接表来实现Dijkstra最短路径算法。这里是一个基本的邻接矩阵版本的例子:
```java
import java.util.*;
public class Dijkstra {
private static final int INF = Integer.MAX_VALUE;
// 图的邻接矩阵表示
private int[][] graph;
private int vertices; // 节点数
public Dijkstra(int[][] matrix) {
this.graph = matrix;
this.vertices = matrix.length;
}
public void dijkstra(int startNode) {
// 初始化距离数组和已访问数组
int[] distances = new int[vertices];
boolean[] visited = new boolean[vertices];
Arrays.fill(distances, INF);
distances[startNode] = 0;
for (int i = 0; i < vertices - 1; ) {
// 找到当前未访问且距离最小的节点
int u = findMinDistance(distances, visited);
if (visited[u]) {
i++;
continue;
}
visited[u] = true;
// 更新所有从u可达节点的距离
for (int v = 0; v < vertices; v++) {
if (!visited[v] && graph[u][v] != 0 && distances[u] != INF &&
distances[u] + graph[u][v] < distances[v]) {
distances[v] = distances[u] + graph[u][v];
}
}
}
printSolution(distances);
}
private int findMinDistance(int[] distances, boolean[] visited) {
int minDistance = INF;
int minIndex = -1;
for (int i = 0; i < vertices; i++) {
if (!visited[i] && distances[i] <= minDistance) {
minDistance = distances[i];
minIndex = i;
}
}
return minIndex;
}
private void printSolution(int[] distances) {
System.out.println("Shortest path from node 0 to other nodes:");
for (int i = 0; i < vertices; i++) {
System.out.println("Node " + i + ": Distance = " + distances[i]);
}
}
public static void main(String[] args) {
int[][] matrix = { { 0, 4, 0, 0, 0 },
{ 4, 0, 8, 0, 0 },
{ 0, 8, 0, 7, 0 },
{ 0, 0, 7, 0, 9 },
{ 0, 0, 0, 9, 0 } }; // 这里只是一个示例图,实际应用中可以自定义
Dijkstra dijkstraAlg = new Dijkstra(matrix);
dijkstraAlg.dijkstra(0); // 从第0个节点开始搜索
}
}
```
这个程序首先初始化距离数组和已访问数组,然后在一个循环中不断找到未访问的节点并更新其相邻节点的距离,直到所有节点都被访问过。`findMinDistance`函数用于查找当前未访问且距离最小的节点。
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