125 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			125 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | |||
|  | title: Breadth First Search (BFS) | |||
|  | localeTitle: 广度优先搜索(BFS) | |||
|  | --- | |||
|  | ## 广度优先搜索(BFS)
 | |||
|  | 
 | |||
|  | 广度优先搜索是最简单的图算法之一。它首先检查当前节点,然后通过将其后继添加到下一级别来扩展它,从而遍历图形。在移动到下一级别之前,对当前级别中的所有节点重复该过程。如果找到解决方案,搜索将停止。 | |||
|  | 
 | |||
|  | ### 可视化
 | |||
|  | 
 | |||
|  |  | |||
|  | 
 | |||
|  | ### 评估
 | |||
|  | 
 | |||
|  | 空间复杂度:O(n) | |||
|  | 
 | |||
|  | 更糟糕的案例时间复杂性:O(n) | |||
|  | 
 | |||
|  | 广度优先搜索在有限的节点集上完成,并且如果从一个节点移动到另一个节点的成本是恒定的则是最优的。 | |||
|  | 
 | |||
|  | ### BFS实现的C ++代码
 | |||
|  | 
 | |||
|  | ```cpp | |||
|  | // Program to print BFS traversal from a given  | |||
|  |  // source vertex. BFS(int s) traverses vertices  | |||
|  |  // reachable from s.  | |||
|  |  #include<iostream>  | |||
|  |  #include <list>  | |||
|  |   | |||
|  |  using namespace std;  | |||
|  |   | |||
|  |  // This class represents a directed graph using  | |||
|  |  // adjacency list representation  | |||
|  |  class Graph  | |||
|  |  {  | |||
|  |     int V;    // No. of vertices  | |||
|  |   | |||
|  |     // Pointer to an array containing adjacency  | |||
|  |     // lists  | |||
|  |     list<int> *adj;  | |||
|  |  public:  | |||
|  |     Graph(int V);  // Constructor  | |||
|  |   | |||
|  |     // function to add an edge to graph  | |||
|  |     void addEdge(int v, int w);  | |||
|  |   | |||
|  |     // prints BFS traversal from a given source s  | |||
|  |     void BFS(int s);  | |||
|  |  };  | |||
|  |   | |||
|  |  Graph::Graph(int V)  | |||
|  |  {  | |||
|  |     this->V = V;  | |||
|  |     adj = new list<int>[V];  | |||
|  |  }  | |||
|  |   | |||
|  |  void Graph::addEdge(int v, int w)  | |||
|  |  {  | |||
|  |     adj[v].push_back(w); // Add w to v's list.  | |||
|  |  }  | |||
|  |   | |||
|  |  void Graph::BFS(int s)  | |||
|  |  {  | |||
|  |     // Mark all the vertices as not visited  | |||
|  |     bool *visited = new bool[V];  | |||
|  |     for(int i = 0; i < V; i++)  | |||
|  |         visited[i] = false;  | |||
|  |   | |||
|  |     // Create a queue for BFS  | |||
|  |     list<int> queue;  | |||
|  |   | |||
|  |     // Mark the current node as visited and enqueue it  | |||
|  |     visited[s] = true;  | |||
|  |     queue.push_back(s);  | |||
|  |   | |||
|  |     // 'i' will be used to get all adjacent  | |||
|  |     // vertices of a vertex  | |||
|  |     list<int>::iterator i;  | |||
|  |   | |||
|  |     while(!queue.empty())  | |||
|  |     {  | |||
|  |         // Dequeue a vertex from queue and print it  | |||
|  |         s = queue.front();  | |||
|  |         cout << s << " ";  | |||
|  |         queue.pop_front();  | |||
|  |   | |||
|  |         // Get all adjacent vertices of the dequeued  | |||
|  |         // vertex s. If a adjacent has not been visited,  | |||
|  |         // then mark it visited and enqueue it  | |||
|  |         for (i = adj[s].begin(); i != adj[s].end(); ++i)  | |||
|  |         {  | |||
|  |             if (!visited[*i])  | |||
|  |             {  | |||
|  |                 visited[*i] = true;  | |||
|  |                 queue.push_back(*i);  | |||
|  |             }  | |||
|  |         }  | |||
|  |     }  | |||
|  |  }  | |||
|  |   | |||
|  |  // Driver program to test methods of graph class  | |||
|  |  int main()  | |||
|  |  {  | |||
|  |     // Create a graph given in the above diagram  | |||
|  |     Graph g(4);  | |||
|  |     g.addEdge(0, 1);  | |||
|  |     g.addEdge(0, 2);  | |||
|  |     g.addEdge(1, 2);  | |||
|  |     g.addEdge(2, 0);  | |||
|  |     g.addEdge(2, 3);  | |||
|  |     g.addEdge(3, 3);  | |||
|  |   | |||
|  |     cout << "Following is Breadth First Traversal "  | |||
|  |          << "(starting from vertex 2) \n";  | |||
|  |     g.BFS(2);  | |||
|  |   | |||
|  |     return 0;  | |||
|  |  }  | |||
|  | ``` | |||
|  | 
 | |||
|  | #### 更多信息:
 | |||
|  | 
 | |||
|  | [图表](https://github.com/freecodecamp/guides/computer-science/data-structures/graphs/index.md) | |||
|  | 
 | |||
|  | [深度优先搜索(DFS)](https://github.com/freecodecamp/guides/tree/master/src/pages/algorithms/graph-algorithms/depth-first-search/index.md) |