
如何使用Java实现最小生成树算法
最小生成树算法是图论中的一个经典问题,用于求解一个带权重的连通图的最小生成树。本文将介绍如何使用Java语言来实现这个算法,并提供具体的代码示例。
下面是Prim算法的Java实现示例:
import java.util.ArrayList;
import java.util.List;
import java.util.PriorityQueue;
import java.util.Queue;
class Edge implements Comparable<Edge> {
int from;
int to;
int weight;
public Edge(int from, int to, int weight) {
this.from = from;
this.to = to;
this.weight = weight;
}
@Override
public int compareTo(Edge other) {
return Integer.compare(this.weight, other.weight);
}
}
public class Prim {
public static List<Edge> calculateMST(List<List<Edge>> graph) {
int n = graph.size();
boolean[] visited = new boolean[n];
Queue<Edge> pq = new PriorityQueue<>();
// Start from vertex 0
int start = 0;
visited[start] = true;
for (Edge e : graph.get(start)) {
pq.offer(e);
}
List<Edge> mst = new ArrayList<>();
while (!pq.isEmpty()) {
Edge e = pq.poll();
int from = e.from;
int to = e.to;
int weight = e.weight;
if (visited[to]) {
continue;
}
visited[to] = true;
mst.add(e);
for (Edge next : graph.get(to)) {
if (!visited[next.to]) {
pq.offer(next);
}
}
}
return mst;
}
}下面是Kruskal算法的Java实现示例:
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import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
class Edge implements Comparable<Edge> {
int from;
int to;
int weight;
public Edge(int from, int to, int weight) {
this.from = from;
this.to = to;
this.weight = weight;
}
@Override
public int compareTo(Edge other) {
return Integer.compare(this.weight, other.weight);
}
}
public class Kruskal {
public static List<Edge> calculateMST(List<Edge> edges, int n) {
List<Edge> mst = new ArrayList<>();
Collections.sort(edges);
int[] parent = new int[n];
for (int i = 0; i < n; i++) {
parent[i] = i;
}
for (Edge e : edges) {
int from = e.from;
int to = e.to;
int weight = e.weight;
int parentFrom = findParent(from, parent);
int parentTo = findParent(to, parent);
if (parentFrom != parentTo) {
mst.add(e);
parent[parentFrom] = parentTo;
}
}
return mst;
}
private static int findParent(int x, int[] parent) {
if (x != parent[x]) {
parent[x] = findParent(parent[x], parent);
}
return parent[x];
}
}import java.util.ArrayList;
import java.util.List;
public class Main {
public static void main(String[] args) {
List<List<Edge>> graph = new ArrayList<>();
graph.add(new ArrayList<>());
graph.add(new ArrayList<>());
graph.add(new ArrayList<>());
graph.add(new ArrayList<>());
graph.get(0).add(new Edge(0, 1, 2));
graph.get(0).add(new Edge(0, 2, 3));
graph.get(1).add(new Edge(1, 0, 2));
graph.get(1).add(new Edge(1, 2, 1));
graph.get(1).add(new Edge(1, 3, 5));
graph.get(2).add(new Edge(2, 0, 3));
graph.get(2).add(new Edge(2, 1, 1));
graph.get(2).add(new Edge(2, 3, 4));
graph.get(3).add(new Edge(3, 1, 5));
graph.get(3).add(new Edge(3, 2, 4));
List<Edge> mst = Prim.calculateMST(graph);
System.out.println("Prim算法得到的最小生成树:");
for (Edge e : mst) {
System.out.println(e.from + " -> " + e.to + ",权重:" + e.weight);
}
List<Edge> edges = new ArrayList<>();
edges.add(new Edge(0, 1, 2));
edges.add(new Edge(0, 2, 3));
edges.add(new Edge(1, 2, 1));
edges.add(new Edge(1, 3, 5));
edges.add(new Edge(2, 3, 4));
mst = Kruskal.calculateMST(edges, 4);
System.out.println("Kruskal算法得到的最小生成树:");
for (Edge e : mst) {
System.out.println(e.from + " -> " + e.to + ",权重:" + e.weight);
}
}
}通过运行上面的示例程序,可以得到如下输出结果:
Prim算法得到的最小生成树: 0 -> 1,权重:2 1 -> 2,权重:1 2 -> 3,权重:4 Kruskal算法得到的最小生成树: 1 -> 2,权重:1 0 -> 1,权重:2 2 -> 3,权重:4
以上就是使用Java实现最小生成树算法的具体代码示例。通过这些示例代码,读者可以更好地理解和学习最小生成树算法的实现过程和原理。希望本文对读者有所帮助。
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