c – 寻找BFS的方式
发布时间:2020-12-16 07:16:25 所属栏目:百科 来源:网络整理
导读:我试图找到一个使用BFS alghoritm的最短路.例如 我添加一个点来映射 add("berlin",london") add("budapest","london") add("london","glassgow") add("budapest","moscow") find("berlin",moscow") // should return berlin,london,budapest,moscow 我已经定
我试图找到一个使用BFS alghoritm的最短路.例如
我添加一个点来映射 add("berlin",london") add("budapest","london") add("london","glassgow") add("budapest","moscow") find("berlin",moscow") // should return berlin,london,budapest,moscow 我已经定义了一个队列 struct node { string info; node *next; }; /*----------------------------------------------------*/ class Queue { private: node *front; node *rear; public: Queue(); ~Queue(); bool isEmpty(); void enqueue(string ); string dequeue(); void display(); bool find(string); }; /*----------------------------------------------------*/ void Queue::display(){ node *p = new node; p = front; if(front == NULL){ cout<<"Nothing to Display" << endl; }else{ while(p!=NULL){ cout<<p->info << endl; p = p->next; } } } /*----------------------------------------------------*/ Queue::Queue() { front = NULL; rear = NULL; } /*----------------------------------------------------*/ Queue::~Queue() { delete front; } /*----------------------------------------------------*/ void Queue::enqueue(string data) { node *temp = new node(); temp->info = data; temp->next = NULL; if(front == NULL){ front = temp; }else{ rear->next = temp; } rear = temp; } /*----------------------------------------------------*/ string Queue::dequeue() { node *temp = new node(); string value; if(front == NULL){ cout<<"Queue is Emtpty" << endl; }else{ temp = front; value = temp->info; front = front->next; delete temp; } return value; } /*----------------------------------------------------*/ bool Queue::isEmpty() { return (front == NULL); } bool Queue::find( string name){ node *temp = rear; while( temp != nullptr ){ if( temp -> info == name){ return true; } temp = temp -> next; } return false; } 并试图实现bfs class Graph { private: map< string,map<string,int >> graf; public: Graph(){}; ~Graph(){}; bool isConnected(string,string ); void addEdge (string one,string two); void BFS(string,string); }; /*----------------------------------------------------*/ bool Graph::isConnected(string one,string two){ return (graf[one][two] == 1 || graf[two][one] == 1 ); } /*----------------------------------------------------*/ void Graph::addEdge( string one,string two){ graf [one][two] = graf[two][one] = 1; } /*----------------------------------------------------*/ void Graph::BFS(string s,string m){ Queue one; map<string,bool> check; vector<string> path; for( auto &x : graf){ check[x.first] = false; } check[s] = true; one.enqueue(s); path.push_back(s); string tmp = one.dequeue(); for( auto &x: graf){ if( isConnected(tmp,x.first) && !check[x.first] ){ one.enqueue(x.first); check[x.first] = true; path.push_back(x.first); if(x.first == m){ break; } } } for( auto &x: path ) cout << x << " "; } 找到正确的“城镇”并存储它们进行印刷.问题是,这确实打印了所有可能性而不仅仅是正确的方法.例如,如果前面提到它也找到“布达佩斯 – 伦敦”并打印出来.我知道问题在于我在路上排列了每个“城镇”但未找到如何检查其正确性的方法. 我不确定我怎么能找到唯一(最高的)方式.我最近发现了这个alghoritm并且无法让他工作.我怎样才能改善我实施的这种方式以这种方式行事? 解决方法
您可以保留每个节点的“父”,而不是将节点放在“路径”中.我已经更改了代码并使用check变量作为父数据结构.
如果未设置父级,则不检查,因此if语句还检查父级是否已设置. 最后,您只需要通过父母,直到您到达目的地. 还请注意,我将BFS更改为从目的地开始.我这样做是因为否则从最后一个节点向第一个节点迭代将返回你需要的路径的反向. 这是代码: #include <iostream> #include <map> using namespace std; struct node { string info; node *next; }; /*----------------------------------------------------*/ class Queue { private: node *front; node *rear; public: Queue(); ~Queue(); bool isEmpty(); void enqueue(string ); string dequeue(); void display(); bool find(string); }; /*----------------------------------------------------*/ void Queue::display(){ node *p = new node; p = front; if(front == NULL){ cout<<"Nothing to Display" << endl; }else{ while(p!=NULL){ cout<<p->info << endl; p = p->next; } } } /*----------------------------------------------------*/ Queue::Queue() { front = NULL; rear = NULL; } /*----------------------------------------------------*/ Queue::~Queue() { delete front; } /*----------------------------------------------------*/ void Queue::enqueue(string data) { node *temp = new node(); temp->info = data; temp->next = NULL; if(front == NULL){ front = temp; }else{ rear->next = temp; } rear = temp; } /*----------------------------------------------------*/ string Queue::dequeue() { node *temp = new node(); string value; if(front == NULL){ cout<<"Queue is Emtpty" << endl; }else{ temp = front; value = temp->info; front = front->next; delete temp; } return value; } /*----------------------------------------------------*/ bool Queue::isEmpty() { return (front == NULL); } bool Queue::find( string name){ node *temp = rear; while( temp != nullptr ){ if( temp -> info == name){ return true; } temp = temp -> next; } return false; } class Graph { private: map< string,string> check; for( auto &x : graf){ check[x.first] = "-"; } check[m] = ""; one.enqueue(m); while (!one.isEmpty()) { string tmp = one.dequeue(); if(tmp == s){ string c = tmp; while (c != m) { cout << c << " "; c = check[c]; } cout << c << endl; return; } for( auto &x: graf){ if( isConnected(tmp,x.first) && check[x.first] == "-" ){ one.enqueue(x.first); check[x.first] = tmp; } } } } int main() { Graph g; g.addEdge("berlin","london"); g.addEdge("budapest","london"); g.addEdge("london","glassgow"); g.addEdge("budapest","moscow"); g.BFS("berlin","moscow"); g.addEdge("london","moscow"); return 0; } 这是输出.第一个是没有“伦敦” – >“莫斯科”边缘,第二个是将该边缘添加到图表中. berlin london budapest moscow berlin london moscow (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |