Chazelle最小生成树算法的c++代码实现
时间: 2024-04-27 15:16:33 浏览: 10
Chazelle最小生成树算法是一种高效的算法,用于求解最小生成树问题。下面是Chazelle最小生成树算法的C++代码实现:
```cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
struct Edge {
int src, dest, weight;
};
struct Subset {
int parent, rank;
};
class Graph {
private:
int V, E;
vector<Edge> edges;
public:
Graph(int V, int E) {
this->V = V;
this->E = E;
}
void addEdge(int src, int dest, int weight) {
Edge edge;
edge.src = src;
edge.dest = dest;
edge.weight = weight;
edges.push_back(edge);
}
int find(Subset subsets[], int i) {
if (subsets[i].parent != i)
subsets[i].parent = find(subsets, subsets[i].parent);
return subsets[i].parent;
}
void Union(Subset subsets[], int x, int y) {
int xroot = find(subsets, x);
int yroot = find(subsets, y);
if (subsets[xroot].rank < subsets[yroot].rank)
subsets[xroot].parent = yroot;
else if (subsets[xroot].rank > subsets[yroot].rank)
subsets[yroot].parent = xroot;
else {
subsets[yroot].parent = xroot;
subsets[xroot].rank++;
}
}
void ChazelleMST() {
vector<Edge> result(V);
int e = 0;
int i = 0;
sort(edges.begin(), edges.end(), [](const Edge& a, const Edge& b) {
return a.weight < b.weight;
});
Subset* subsets = new Subset[V];
for (int v = 0; v < V; v++) {
subsets[v].parent = v;
subsets[v].rank = 0;
}
while (e < V - 1 && i < E) {
Edge next_edge = edges[i++];
int x = find(subsets, next_edge.src);
int y = find(subsets, next_edge.dest);
if (x != y) {
result[e++] = next_edge;
Union(subsets, x, y);
}
}
cout << "Chazelle最小生成树的边:" << endl;
for (i = 0; i < e; i++) {
cout << result[i].src << " - " << result[i].dest << " : " << result[i].weight << endl;
}
}
};
int main() {
int V = 4; // 图的顶点数
int E = 5; // 图的边数
Graph graph(V, E);
// 添加边
graph.addEdge(0, 1, 10);
graph.addEdge(0, 2, 6);
graph.addEdge(0, 3, 5);
graph.addEdge(1, 3, 15);
graph.addEdge(2, 3, 4);
// 执行Chazelle最小生成树算法
graph.ChazelleMST();
return 0;
}
```
以上是Chazelle最小生成树算法的C++代码实现。该算法通过对边进行排序,并使用并查集数据结构来判断是否形成环路,从而得到最小生成树的边集合。在上述代码中,我们创建了一个Graph类来表示图,并实现了ChazelleMST函数来执行算法。在main函数中,我们创建了一个包含4个顶点和5条边的图,并调用ChazelleMST函数来求解最小生成树,并输出结果。