class Graph { private: int V; // 图的顶点数 vector<vector<int>> adj; // 邻接表存储结构 显示[Error] '>>' should be '> >' within a nested template argument list
时间: 2024-01-22 17:20:30 浏览: 223
这是一个常见的编译错误,因为在C++中,">>" 连用会被解释为位运算符而不是模板参数列表的结束符号。解决方法是在 ">>" 之间加一个空格,即将 ">>" 改为 "> >",或者使用 "typename" 关键字来指示这是一个类型而不是一个成员变量。例如:
```
class Graph {
private:
int V;
vector<vector<int> > adj; // 加空格解决问题
};
```
或者:
```
class Graph {
private:
int V;
vector<typename vector<int>::vector> adj; // 使用typename关键字
};
```
相关问题
#include <iostream> #include <vector> #include <queue> using namespace std; struct Edge { int u, v, weight; Edge(int u, int v, int weight) : u(u), v(v), weight(weight) {} }; class Graph { private: int V; vector<vector<pair<int, int>>> adj; public: Graph(int V) : V(V) { adj.resize(V); } void addEdge(int u, int v, int weight) { adj[u].push_back(make_pair(v, weight)); adj[v].push_back(make_pair(u, weight)); } int primMST() { priority_queue<pair<int, int>, vector<pair<int, int>>, greater<pair<int, int>>> pq; vector<bool> visited(V, false); int minCost = 0; pq.push(make_pair(0, 0)); while (!pq.empty()) { int u = pq.top().second; int weight = pq.top().first; pq.pop(); if (visited[u]) continue; visited[u] = true; minCost += weight; for (auto neighbor : adj[u]) { int v = neighbor.first; int w = neighbor.second; if (!visited[v]) pq.push(make_pair(w, v)); } } return minCost; } }; int main() { int V, E; cout << "Enter the number of vertices: "; cin >> V; cout << "Enter the number of edges: "; cin >> E; Graph g(V); cout << "Enter the edges in the format (u, v, weight):" << endl; for (int i = 0; i < E; i++) { int u, v, weight; cin >> u >> v >> weight; g.addEdge(u, v, weight); } int minCost = g.primMST(); cout << "Minimum cost of the MST: " << minCost << endl; return 0; }
这是一个使用Prim算法求最小生成树的C++程序。它通过输入顶点数、边数和边的信息来构建图,并计算最小生成树的最小权重。
程序首先定义了一个结构体`Edge`来表示图的边,包括起点、终点和权重。然后定义了一个`Graph`类来表示图,包括顶点数和邻接表。
类中的`addEdge`函数用于向图中添加边,将边的信息存储在邻接表中。`primMST`函数使用Prim算法计算最小生成树的最小权重。它使用优先队列来选择权重最小的边,并使用visited数组来标记已经访问过的顶点。
在主函数中,首先输入顶点数和边数,然后逐个输入边的信息,并调用`addEdge`函数将边添加到图中。最后调用`primMST`函数计算最小生成树的最小权重,并输出结果。
请注意,这只是一个示例程序,用于演示Prim算法的实现原理。在实际应用中,可能需要对输入进行合法性检查和错误处理。
#include<iostream> #include<queue> #include<vector> using namespace std; // 定义图的邻接表结构 struct edge { int dest; edge* next; }; struct vertex { edge* head; }; // 图类 class Graph { private: int V; // 顶点数 vertex* adj; // 邻接表 public: Graph(int V) { this->V = V; adj = new vertex[V]; for (int i = 0; i < V; ++i) { adj[i].head = nullptr; } } // 添加边 void addEdge(int src, int dest) { edge* e = new edge; e->dest = dest; e->next = adj[src].head; adj[src].head = e; } // 深度优先遍历 void DFS(int v, bool* visited) { visited[v] = true; cout << v << " "; edge* e = adj[v].head; while (e != nullptr) { if (!visited[e->dest]) { DFS(e->dest, visited); } e = e->next; } } // 广度优先遍历 void BFS(int v, bool* visited) { queue<int> q; visited[v] = true; q.push(v); while (!q.empty()) { int u = q.front(); q.pop(); cout << u << " "; edge* e = adj[u].head; while (e != nullptr) { if (!visited[e->dest]) { visited[e->dest] = true; q.push(e->dest); } e = e->next; } } } }; int main() { int V, E; cout << "请输入顶点数和边数:" << endl; cin >> V >> E; Graph g(V); cout << "请输入每条边的起点和终点:" << endl; for (int i = 0; i < E; ++i) { int src, dest; cin >> src >> dest; g.addEdge(src, dest); } // 深度优先遍历 cout << "深度优先遍历结果为:" << endl; bool* visited = new bool[V]; for (int i = 0; i < V; ++i) { visited[i] = false; } for (int i = 0; i < V; ++i) { if (!visited[i]) { g.DFS(i, visited); } } cout << endl; // 广度优先遍历 cout << "广度优先遍历结果为:" << endl; for (int i = 0; i < V; ++i) { visited[i] = false; } for (int i = 0; i < V; ++i) { if (!visited[i]) { g.BFS(i, visited); } } cout << endl; return 0; }这段代码从输入数字修改为输入为字母
将输入数字修改为输入字母需要对代码进行一定的修改,因为字母无法直接转化为整数进行处理。以下是修改后的代码:
```
#include<iostream>
#include<queue>
#include<vector>
#include<map>
using namespace std;
// 定义图的邻接表结构
struct edge {
char dest;
edge* next;
};
struct vertex {
edge* head;
};
// 图类
class Graph {
private:
int V; // 顶点数
vertex* adj; // 邻接表
map<char, int> charToInt; // 将字母映射为数字
public:
Graph(int V) {
this->V = V;
adj = new vertex[V];
for (int i = 0; i < V; ++i) {
adj[i].head = nullptr;
}
}
// 添加边
void addEdge(char src, char dest) {
// 将字母映射为数字
int srcInt, destInt;
if (charToInt.count(src) == 0) {
srcInt = charToInt.size();
charToInt[src] = srcInt;
} else {
srcInt = charToInt[src];
}
if (charToInt.count(dest) == 0) {
destInt = charToInt.size();
charToInt[dest] = destInt;
} else {
destInt = charToInt[dest];
}
edge* e = new edge;
e->dest = destInt;
e->next = adj[srcInt].head;
adj[srcInt].head = e;
}
// 深度优先遍历
void DFS(int v, bool* visited) {
visited[v] = true;
// 将数字映射为字母输出
for (auto it = charToInt.begin(); it != charToInt.end(); ++it) {
if (it->second == v) {
cout << it->first << " ";
break;
}
}
edge* e = adj[v].head;
while (e != nullptr) {
if (!visited[e->dest]) {
DFS(e->dest, visited);
}
e = e->next;
}
}
// 广度优先遍历
void BFS(int v, bool* visited) {
queue<int> q;
visited[v] = true;
q.push(v);
while (!q.empty()) {
int u = q.front();
q.pop();
// 将数字映射为字母输出
for (auto it = charToInt.begin(); it != charToInt.end(); ++it) {
if (it->second == u) {
cout << it->first << " ";
break;
}
}
edge* e = adj[u].head;
while (e != nullptr) {
if (!visited[e->dest]) {
visited[e->dest] = true;
q.push(e->dest);
}
e = e->next;
}
}
}
};
int main() {
int V, E;
cout << "请输入顶点数和边数:" << endl;
cin >> V >> E;
Graph g(V);
cout << "请输入每条边的起点和终点:" << endl;
for (int i = 0; i < E; ++i) {
char src, dest;
cin >> src >> dest;
g.addEdge(src, dest);
}
// 深度优先遍历
cout << "深度优先遍历结果为:" << endl;
bool* visited = new bool[V];
for (int i = 0; i < V; ++i) {
visited[i] = false;
}
for (int i = 0; i < V; ++i) {
if (!visited[i]) {
g.DFS(i, visited);
}
}
cout << endl;
// 广度优先遍历
cout << "广度优先遍历结果为:" << endl;
for (int i = 0; i < V; ++i) {
visited[i] = false;
}
for (int i = 0; i < V; ++i) {
if (!visited[i]) {
g.BFS(i, visited);
}
}
cout << endl;
return 0;
}
```
阅读全文