void PrintAdjacencyList(AMGraph& G) { cout << "地图的邻接表表示如下：" << endl; for (int i = 0; i < G.vexnum; i++) { cout << G.vexs[i] << ": "; bool hasNeighbor = false; for (int j = 0; j < G.vexnum; j++) { if (G.arcs[i][j] != MaxInt && i != j) { if (hasNeighbor) cout << " -> "; cout << G.vexs[j]; hasNeighbor = true; } } cout << endl; } } void Backtrack(AMGraph& G, int currIdx, vector<int>& path, vector<bool>& visited, int& distance) { if (path.size() == G.vexnum && G.arcs[currIdx][0] != MaxInt) { cout << "路径："; for (int i = 0; i < path.size(); i++) { cout << G.vexs[path[i]] << " "; } cout << G.vexs[0] << endl; cout << "总路程：" << distance + G.arcs[currIdx][0] << endl; return; } for (int i = 0; i < G.vexnum; i++) { if (G.arcs[currIdx][i] != MaxInt && !visited[i]) { path.push_back(i); visited[i] = true; distance += G.arcs[currIdx][i]; Backtrack(G, i, path, visited, distance); path.pop_back(); visited[i] = false; distance -= G.arcs[currIdx][i]; } } }为这段代码加上注释

删除下列代码中的注释#include <iostream> #define MVNum 100//最大顶点数 using namespace std; typedef struct{ int vexs[MVNum];//顶点表 int arcs[MVNum][MVNum];//邻接矩阵 int vexnum,arcnum; }AMGraph; void Create_V(AMGraph &G,int name){ int pos=++G.vexnum; G.vexs[pos-1]=name;//存入点名 for(int i=1;i<=pos;i++){//点所在的行列清零 G.arcs[i-1][pos-1]=0; G.arcs[pos-1][i-1]=0; } } void Create_Arc(AMGraph &G,int h,int k){ G.arcs[h-1][k-1]=G.arcs[k-1][h-1]=1;//点与对称点都归1 } void Out_Graph(AMGraph G){ cout<<"0 ";//开头输出0 for(int i=1;i<G.vexnum;i++) cout<<G.vexs[i-1]<<" ";//输出所有点名 cout<<G.vexs[G.vexnum-1]<<endl; for(int i=1;i<=G.vexnum;i++){//输出所有弧 cout<<G.vexs[i-1]<<" "; for(int j=1;j<G.vexnum;j++){ cout<<G.arcs[i-1][j-1]<<" "; } cout<<G.arcs[i-1][G.vexnum-1]<<endl; } } void Calculate(int m,int n){ AMGraph G; G.vexnum=G.arcnum=0; for(int i=1;i<=m;i++) Create_V(G,i);//构造前n个顶点 for(int i=1;i<=n;i++){//构造n条边 int h,k; cin>>h>>k;//输入左右顶点 Create_Arc(G,h,k);//构造边 } int new_point;//新顶点 cin>>new_point; Create_V(G,new_point);//新顶点入图 Out_Graph(G);//输出图 } int main(){ int m,n; while(cin>>m>>n&&m!=0&&n!=0){//每次处理一行数据 Calculate(m,n); } return 0; }

i<=G.vexnum;i++){ cout<<G.vexs[i-1]<<" "; for(int j=1;j<G.vexnum;j++){ cout<<G.arcs[i-1][j-1]<<" "; } cout<<G.arcs[i-1][G.vexnum-1]<<endl; } } void Calculate(int m,int n){ AMGraph G; G.vexnum...

完善下列代码 #include<iostream> #define OK 1 #define ERROR 0 #define OVERFLOW -2 #define MVNum 100 //最大顶点数 using namespace std; typedef struct {//图的邻接矩阵存储表示 int vexs[MVNum]; //顶点表 int arcs[MVNum][MVNum]; //邻接矩阵 int vexnum,arcnum; //图的当前点数和边数 }AMGragh; int CreateUDN(AMGragh &G,int vexnum,int arcnum) {//采用邻接矩阵表示法，创建无向网G } int InsertVex(AMGragh &G) {//在以邻接矩阵形式存储的无向图G上插入顶点 } int OutputUDN(AMGragh G) {//输出图G }，使其功能与#include <iostream> #define MVNum 100 using namespace std; typedef struct{ int vexs[MVNum]; int arcs[MVNum][MVNum]; int vexnum,arcnum; }AMGraph; void Create_V(AMGraph &G,int name){ int pos=++G.vexnum; G.vexs[pos-1]=name; for(int i=1;i<=pos;i++){ G.arcs[i-1][pos-1]=0; G.arcs[pos-1][i-1]=0; } } void Create_Arc(AMGraph &G,int h,int k){ G.arcs[h-1][k-1]=G.arcs[k-1][h-1]=1; } void Out_Graph(AMGraph G){ cout<<"0 "; for(int i=1;i<G.vexnum;i++) cout<<G.vexs[i-1]<<" "; cout<<G.vexs[G.vexnum-1]<<endl; for(int i=1;i<=G.vexnum;i++){ cout<<G.vexs[i-1]<<" "; for(int j=1;j<G.vexnum;j++){ cout<<G.arcs[i-1][j-1]<<" "; } cout<<G.arcs[i-1][G.vexnum-1]<<endl; } } void Calculate(int m,int n){ AMGraph G; G.vexnum=G.arcnum=0; for(int i=1;i<=m;i++) Create_V(G,i); for(int i=1;i<=n;i++){ int h,k; cin>>h>>k; Create_Arc(G,h,k); } int new_point; cin>>new_point; Create_V(G,new_point); Out_Graph(G); } int main(){ int m,n; while(cin>>m>>n&&m!=0&&n!=0){ Calculate(m,n); } return 0; }相同

cout<<endl<<"图的邻接矩阵为："<<endl; for(int i=0;i<G.vexnum;i++){ for(int j=0;j<G.vexnum;j++){ cout<<G.arcs[i][j]<<" "; } cout<<endl; } return OK; } int main(){ AMGragh G; int vexnum,...

运行#include <iostream> #include <vector> using namespace std; class Graph { private: int V; // 图的顶点数 vector<typename vector<int>::vector> adj; // 邻接表存储结构 public: Graph(int V) { this->V = V; adj.resize(V); } void addEdge(int v, int w) { adj[v].push_back(w); adj[w].push_back(v); } void printGraph() { for(int i = 0; i < V; i++) { cout << "顶点 " << i << " 的邻接表: "; for(int j = 0; j < adj[i].size(); j++) { cout << adj[i][j] << " "; } cout << endl; } } };

构造函数中会初始化邻接表 adj 的大小为 V，即邻接表中有 V 个元素，每个元素都是一个 vector<int> 类型的向量，用来存储与该顶点相邻的其他顶点编号。addEdge 方法用于添加图的边，其中 v 和 w 分别是边的两个顶点...

#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

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 = ...

#include <iostream> #include <iomanip> #include <cstdio> using namespace std; #define MVNum 100 //最大顶点数 typedef string VerTexType; //假设顶点的数据类型为字符串 typedef int ArcType; //假设边的权值类型为整型 //------------图的邻接矩阵------------------ typedef struct { VerTexType vexs[MVNum]; //顶点表 ArcType arcs[MVNum][MVNum]; //邻接矩阵 int vexnum, arcnum; //图的当前点数和边数 } Graph; //得到顶点i的数据 VerTexType Vertexdata(const Graph &g, int i) { return g.vexs[i]; } int LocateVex(const Graph &g, VerTexType v) { //确定点v在G中的位置 for(int i = 0; i < g.vexnum; ++i) if(g.vexs[i] == v) return i; return -1; }//LocateVex int FirstAdjVex(const Graph &g, int v) { //返回v的第一个邻接点编号，没有返回-1 /在此下面完成代码*/ /*****************/ }//FirstAdjVex int NextAdjVex(const Graph &g, int v, int w) { //返回v相对于w的下一个邻接点，没有返回-1 /在此下面完成代码*/ /*********************/ }//NextAdjVex void CreateUDG(Graph &g) { //采用邻接矩阵表示法，创建无向图G /在此下面完成代码*/ /*****************************/ }//CreateUDN void DestroyUDG(Graph &g) { //you should do this } //输出邻接矩阵 void PrintUDG(const Graph& g) { int i, j; cout << " "; for(i = 0; i < g.vexnum; i++) { cout << setw(4) << g.vexs[i] ; } cout << endl; for(i = 0; i < g.vexnum; i++) { cout << setw(4) << g.vexs[i]; for(j = 0; j < g.vexnum; j++) { cout << setw(4) << g.arcs[i][j]; } cout << endl; } } int main() { Graph g; CreateUDG(g); //输出各个顶点的邻接点 for(int i = 0; i < g.vexnum; i++) { cout << Vertexdata(g, i) << ":"; for(int w = FirstAdjVex(g, i); w >= 0; w = NextAdjVex(g, i, w)) { cout << ' ' << Vertexdata(g, w); } cout << endl; } PrintUDG(g); DestroyUDG(g); return 0; }//mai来将这个代码补充完整

cout << setw(4) << g.arcs[i][j]; } cout << endl; } } int main() { Graph g; CreateUDG(g); //输出各个顶点的邻接点 for(int i = 0; i < g.vexnum; i++) { cout << Vertexdata(g, i) << ":"; for(int ...

修改下列代码要求如下：每组数据输出n-1行。为删除顶点后的邻接表。每两个数字之间用空格隔开，不增加main函数。代码如下：#include<iostream> #include<string> #include<algorithm> #include<vector> #include<set> #include<map> using namespace std;typedef struct LNode {int data;struct LNode* next; }*linklist, LNode; typedef struct {int vexnum;int arcnum;linklist VList; }ALGragh; void CreateUDG(ALGragh& G, int n, int m) {G.arcnum = m;G.vexnum = n;G.VList = new LNode[n + 1];for (int i = 1; i <= n; i++){G.VList[i].data = i;G.VList[i].next = NULL;}int h, k;for (int i = 0; i < m; i++){cin >> h >> k;linklist p = new LNode, q = new LNode;p->data = h;p->next = G.VList[k].next;G.VList[k].next = p;q->data = k;q->next = G.VList[h].next;G.VList[h].next = q;} } void PrintGraph(ALGragh G) {for (int i = 1; i <= G.vexnum; i++){linklist p = &G.VList[i];while (p->next){cout << p->data << ' ';p = p->next;}cout << p->data << endl;} } void DeleteVex(ALGragh& G) {int h, k;cin >> h >> k;for (int i = 1; i <= G.vexnum ; i++){linklist p = &G.VList[i];if (i == h){if (p->next){if (p->next->data == k)p->next = p->next->next;}}if (i == k){if (p->next){if (p->next->data == h)p->next = p->next->next;}}} }

for (int i = 0; i < m; i++){ cin >> h >> k; linklist p = new LNode, q = new LNode; p->data = h; p->next = G.VList[k].next; G.VList[k].next = p; q->data = k; q->next = G.VList[h].next; G.VList...

void bfs1(int start, int target) { queue<int> q; q.push(start); bool visited[MAXN] = { false }; visited[start] = true; int parent[MAXN] = { -1 }; while (!q.empty()) { int current = q.front(); q.pop(); if (current == target) { cout << "找到目标节点的值为： " << target << endl; cout << "路径为: "; vector<int> path; int p = target; while (p != -1) { path.push_back(p); p = parent[p]; } for (int i = path.size() - 1; i >= 0; i--) { cout << nodes[path[i]] << " "; } cout << endl; return; } cout << "搜索经过的节点： " << nodes[current] << endl; for (int neighbor : adjacencyList[current]) { if (!visited[neighbor]) { q.push(neighbor); visited[neighbor] = true; parent[neighbor] = current; } } } cout << "找不到目标节点。 " << nodes[target] << endl; }根据上述代码C++实现广度优先搜索遍历，并输出所有遍历节点的值。

// 图的邻接表表示 void bfs1(int start, int target) { queue<int> q; q.push(start); bool visited[MAXN] = { false }; visited[start] = true; int parent[MAXN] = { -1 }; while (!q.empty()) { int ...

#include <iostream> #include <vector> #include <queue> using namespace std; // 定义图的边结构体 struct Edge { int to; // 边的终点 int weight; // 边的权重 Edge(int t, int w) : to(t), weight(w) {} }; // 定义图的邻接表结构体 struct Graph { int n; // 节点数 vector<vector<Edge>> adj; // 邻接表 Graph(int n) : n(n), adj(n) {} // 添加一条边 void addEdge(int from, int to, int weight) { adj[from].push_back(Edge(to, weight)); } // 深度优先遍历 void dfs(int cur, vector<bool>& visited) { visited[cur] = true; cout << cur << " "; for (auto e : adj[cur]) { if (!visited[e.to]) { dfs(e.to, visited); } } } // 广度优先遍历 void bfs(int cur, vector<bool>& visited) { queue<int> q; q.push(cur); visited[cur] = true; while (!q.empty()) { int u = q.front(); q.pop(); cout << u << " "; for (auto e : adj[u]) { if (!visited[e.to]) { visited[e.to] = true; q.push(e.to); } } } } }; int main() { int n, m; cin >> n >> m; Graph g(n); for (int i = 0; i < m; i++) { int u, v, w; cin >> u >> v >> w; g.addEdge(u, v, w); g.addEdge(v, u, w); // 无向图需要添加反向边 } // 深度优先遍历 cout << "DFS: "; vector<bool> visited(n, false); g.dfs(0, visited); cout << endl; // 广度优先遍历 cout << "BFS: "; visited.assign(n, false); g.bfs(0, visited); cout << endl; return 0; }将该代码的各行注释打出

for (int i = 0; i < m; i++) { int u, v, w; cin >> u >> v >> w; g.addEdge(u, v, w); g.addEdge(v, u, w); // 无向图需要添加反向边 } // 深度优先遍历 cout << "DFS: "; vector<bool> visited(n, ...

#include<iostream> #define OK 1 #define ERROR 0 #define OVERFLOW -2 #define MVNum 100 //最大顶点数 #define MaxInt 32767 using namespace std; typedef struct {//图的邻接矩阵存储表示 int vexnum,arcnum; //图的当前顶点数和边数 int vexs[MVNum]; //顶点表 int arcs[MVNum][MVNum]; //邻接矩阵 }AMGraph; int CreateUDN(AMGraph &G,int vexnum,int arcnum) {//采用邻接矩阵表示法，创建无向网G G.vexnum=vexnum; //输入总顶点数 G.arcnum=arcnum; //输入总边数 if(G.vexnum>MVNum) return ERROR; //超出最大顶点数则结束函数 int i,j,a,b,c; for(i=1;i<=G.vexnum;i++) G.vexs[i]=i; for(i=1;i<=G.vexnum;i++) //初始化邻接矩阵，边的权值均置为极大值 for(j=1;j<=G.vexnum;j++) G.arcs[i][j]=MaxInt; for(i=0;i<G.arcnum;i++) //顶点a和顶点b之间有一条长度为c的路 { cin>>a>>b>>c; G.arcs[a][b]=c; G.arcs[b][a]=c; } return OK; } void ShortPathMAX(AMGraph G,int v0) {//用Dijkstra算法求图G中距离顶点v0的最短路径长度最大的一个顶点 /begin/ /end/ } int main() { int n,m; while(cin>>n>>m) { if(n==0&&m==0) break; AMGraph G; CreateUDN(G,n,m); //创建无向网G int v; cin>>v; ShortPathMAX(G,v); //最长的最短路径的求解 } return 0; }补全代码，测试输入： 4 4 1 2 1 2 3 1 3 4 1 2 4 1 4 4 3 1 2 3 2 3 2 2 4 6 3 0 0 预期输出： 1 2 4 8

void ShortPathMAX(AMGraph G,int v0) {//用Dijkstra算法求图G中距离顶点v0的最短路径长度最大的一个顶点 int dist[MVNum];//存储源点v0到其他顶点的最短距离 bool visited[MVNum]={false};//记录顶点是否已被...

#include <iostream> #include <vector> using namespace std; const int MAXN = 100; int n, m; int color[MAXN]; // 记录每个节点的颜色 bool g[MAXN][MAXN]; // 邻接矩阵 vector<int> adj[MAXN]; // 邻接表 void dfs(int u, int c) { color[u] = c; for (int v : adj[u]) { if (color[v] == 0) { // 如果未被染色，染成另一种颜色 dfs(v, 3 - c); } else if (color[v] == c) { // 如果相邻节点颜色相同，无法着色 cout << "Impossible to color the graph with " << m << " colors." << endl; exit(0); } } } int main() { // 读入邻接矩阵 cin >> n; for (int i = 1; i <= n; i++) { for (int j = 1; j <= n; j++) { cin >> g[i][j]; if (g[i][j]) { adj[i].push_back(j); } } } // 深度优先搜索染色 m = 1; for (int u = 1; u <= n; u++) { if (color[u] == 0) { dfs(u, 1); m = max(m, color[u]); } } // 输出结果 cout << "The graph can be colored with " << m << " colors." << endl; cout << "Coloring result: "; for (int u = 1; u <= n; u++) { cout << color[u] << " "; } cout << endl; return 0; }图图着色

这段代码实现了图的着色，采用了深度优先搜索的方法。在搜索过程中，用颜色数组记录每个节点的颜色，初始值为0。如果一个节点未被染色，就将...实际上，采用邻接表存储图的话，时间复杂度可以降为O(n+m)，其中m为边数。

#include <iostream> #include <vector> using namespace std; // 定义边结构体 struct Edge { int dest; // 目标顶点 int weight; // 边的权值 Edge(int d, int w): dest(d), weight(w) {} }; // 定义邻接表节点结构体 struct Node { int vertex; // 顶点编号 vector<Edge> edges; // 与该顶点相连的边 Node(int v): vertex(v) {} }; // 邻接表表示法构造无向网G vector<Node> buildGraph() { vector<Node> graph; int numNodes, numEdges; cout << "请输入顶点数和边数："; cin >> numNodes >> numEdges; graph.resize(numNodes); cout << "请输入每条边的起点、终点和权值：" << endl; for (int i = 0; i < numEdges; ++i) { int start, dest, weight; cin >> start >> dest >> weight; graph[start].edges.emplace_back(dest, weight); graph[dest].edges.emplace_back(start, weight); } return graph; } // 递归地深度优先遍历该图G void dfs(vector<Node>& graph, vector<bool>& visited, int current) { visited[current] = true; cout << current << " "; for (Edge& e : graph[current].edges) { int next = e.dest; if (!visited[next]) { dfs(graph, visited, next); } } } int main() { vector<Node> graph = buildGraph(); vector<bool> visited(graph.size(), false); int start; cout << "请输入起始顶点编号："; cin >> start; dfs(graph, visited, start); cout << endl; return 0; }运行一下这段代码

当你运行这段代码时，程序会提示你输入顶点数和边数，你需要输入两个整数。然后程序会提示你输入每条边的起点、终点和权值，你需要按照提示输入每条边的起点、终点和权值，...最后程序会输出一个换行符，表示遍历结束。

#include <iostream> #include <queue> using namespace std; const int MAXN = 1000; struct Edge { int to, next; } edges[MAXN]; int head[MAXN], tot; bool vis[MAXN]; void addEdge(int u, int v) { edges[++tot].to = v; edges[tot].next = head[u]; head[u] = tot;}void dfs(int u) { vis[u] = true; cout << char(u + 'A') << " "; for (int i = head[u]; i != 0; i = edges[i].next) { int v = edges[i].to; if (!vis[v]) { dfs(v); } } } void bfs(int u) { queue<int> q; q.push(u); vis[u] = true; while (!q.empty()) { int x = q.front(); q.pop(); cout << char(x + 'A') << " "; for (int i = head[x]; i != 0; i = edges[i].next) { int v = edges[i].to; if (!vis[v]) { q.push(v); vis[v] = true; } } } } int main() { int n, m; cin >> n >> m; for (int i = 1; i <= m; i++) { char u, v; cin >> u >> v; addEdge(u - 'A', v - 'A'); addEdge(v - 'A', u - 'A'); } dfs(0); cout << endl; for (int i = 0; i < n; i++) { vis[i] = false; } bfs(0); cout << endl; return 0; }每句话的详细注释

这是一个基于邻接表实现的图遍历程序，包括深度优先搜索和广度优先搜索。下面是每句话的详细注释： #include <iostream> #include <queue> using namespace std; 包含头文件iostream和queue，并使用命名...

#include <iostream> #include <vector> using namespace std; // 定义边结构体 struct Edge { int to; // 目标节点 int weight; // 权重 Edge(int t, int w) : to(t), weight(w) {} // 构造函数 }; // 定义邻接表 vector<Edge> adj[100]; // 添加无向边 void addEdge(int u, int v, int weight) { adj[u].push_back(Edge(v, weight)); adj[v].push_back(Edge(u, weight)); } int main() { int n, m; // n为节点数，m为边数 cin >> n >> m; for (int i = 0; i < m; i++) { int u, v, weight; cin >> u >> v >> weight; addEdge(u, v, weight); // 添加边 } // 遍历所有节点，输出其邻接表 for (int u = 1; u <= n; u++) { cout << "Node " << u << " is adjacent to: "; for (auto e : adj[u]) { cout << e.to << "(" << e.weight << ") "; } cout << endl; } return 0; }这段代码34、37、38行有错请修改

将34行改为 adj[u-1].push_back(Edge(v-1, weight));，因为数组下标是从0开始的，... cout << e.to + 1 << "(" << e.weight << ") "; // 输出时需要将节点编号再加1 } cout << endl; 同样需要对节点编号做转换。

void DFSTraverse(Graph graph) { for (int i = 1; i <= graph->vexnum; i++) visited[i] = false; for (int i = 1; i <= graph->vexnum; i++) { if (!visited[i]) DFS(graph, i); } } void DFS(Graph graph, int v) { visited[v] = true; cout << graph->list[v].data << " "; Node* header = graph->list[v].head; while (header) { if (!visited[header->vex]) { DFS(graph, header->vex); } header = header->next; } } void BFSTraverse(Graph graph) { queue<int> MyQueue; for (int i = 1; i <= graph->vexnum; i++) visited[i] = false; for (int i = 1; i <= graph->vexnum; i++) { if (!visited[i]) { visited[i] = true; cout << graph->list[i].data << " "; MyQueue.push(i); while (!MyQueue.empty()) { int front = MyQueue.front(); MyQueue.pop(); Node* header = graph->list[front].head; while (header) { if (!visited[header->vex]) { visited[header->vex] = true; cout << graph->list[header->vex].data << " "; MyQueue.push(header->vex); } header = header->next; } } } } } void printGraph(Graph graph) { int** arr = new int* [graph->vexnum + 1]; for (int i = 1; i <= graph->vexnum; i++) { arr[i] = new int[graph->vexnum + 1]; } for (int i = 1; i <= graph->vexnum; i++) { for (int j = 1; j <= graph->vexnum; j++) { arr[i][j] = 0; } } for (int i = 1; i <= graph->vexnum; i++) { Node* header = graph->list[i].head; while (header) { arr[i][header->vex] = header->weight; header = header->next; } } for (int i = 1; i <= graph->vexnum; i++) { for (int j = 1; j <= graph->vexnum; j++) { cout << arr[i][j] << " "; } cout << endl; } }代码讲解

然后遍历当前顶点的邻接表，对于每个未被访问过的邻接点，递归调用DFS函数进行遍历。 BFSTraverse函数实现了图的广度优先遍历。同样先将visited数组初始化为false，然后对每个未被访问过的顶点进行广度优先遍历。在...

#include <iostream>#include <vector>#include <stack>using namespace std;void dfs(int u, vector<vector<int>>& graph, vector<bool>& visited, vector<int>& farthest) { stack<int> s; s.push(u); visited[u] = true; while (!s.empty()) { int v = s.top(); s.pop(); for (int i = 0; i < graph[v].size(); i++) { int w = graph[v][i]; if (!visited[w]) { visited[w] = true; s.push(w); farthest[w] = farthest[v] + 1; } } }}int main() { int n, m; cin >> n >> m; vector<vector<int>> graph(n); for (int i = 0; i < m; i++) { int u, v; cin >> u >> v; graph[u].push_back(v); } vector<int> farthest(n, 0); for (int i = 0; i < n; i++) { vector<bool> visited(n, false); dfs(i, graph, visited, farthest); } for (int i = 0; i < n; i++) { cout << "Node " << i << " can reach farthest node " << farthest[i] << endl; } return 0;}不用STL实现这个代码

不使用STL实现该代码，可以手动实现栈和vector。下面是C++实现： c++ ...同时，我们使用二维数组来表示邻接矩阵，而不是vector<vector<int>>来表示邻接表。其他部分的实现与使用STL的版本相同。

C++cout介绍及使用说明

std::cout << "The value of x is " << 10 << std::endl; return 0; } 在这个例子中，第一行std::cout << "Hello, world!" << std::endl;会输出"Hello, world!"，然后换行。第二行std::cout << "The value...

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