[kuangbin带你飞]专题1 简单搜索 L - Oil Deposits HDU - 1241

题目:

Oil Deposits

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 36263    Accepted Submission(s): 21010


Problem Description
The GeoSurvComp geologic survey company is responsible for detecting underground oil deposits. GeoSurvComp works with one large rectangular region of land at a time, and creates a grid that divides the land into numerous square plots. It then analyzes each plot separately, using sensing equipment to determine whether or not the plot contains oil. A plot containing oil is called a pocket. If two pockets are adjacent, then they are part of the same oil deposit. Oil deposits can be quite large and may contain numerous pockets. Your job is to determine how many different oil deposits are contained in a grid.
 

Input
The input file contains one or more grids. Each grid begins with a line containing m and n, the number of rows and columns in the grid, separated by a single space. If m = 0 it signals the end of the input; otherwise 1 <= m <= 100 and 1 <= n <= 100. Following this are m lines of n characters each (not counting the end-of-line characters). Each character corresponds to one plot, and is either `*', representing the absence of oil, or `@', representing an oil pocket.
 

Output
For each grid, output the number of distinct oil deposits. Two different pockets are part of the same oil deposit if they are adjacent horizontally, vertically, or diagonally. An oil deposit will not contain more than 100 pockets.
 

Sample Input
1 1 * 3 5 *@*@* **@** *@*@* 1 8 @@****@* 5 5 ****@ *@@*@ *@**@ @@@*@ @@**@ 0 0
 

Sample Output
0 1 2 2

题意:@为有油的位置,*为没有油的位置,若@相邻的八个方向中有某位置也为@,则认为这两个位置为同一处油田。问输入的数据中有多少油田?


思路:BFS求连通快。遍历图,若其中某一个位置为@,则以这个点为起点,开始一次BFS,所有BFS到达的地方都更新为‘*’。最终BFS的次数就是连通块的个数。


#include<bits/stdc++.h>

typedef long long ll;

using namespace std;

char mapp[110][110];
int n,m;
int ans;
int dir[8][2] = {{-1,0},{-1,1},{0,1},{1,1},{1,0},{1,-1},{0,-1},{-1,-1}};  //八个方向 

void bfs(int i , int j){
	queue< pair<int,int> > q;
	q.push(make_pair(i,j));
	
	while (!q.empty()){
		pair<int,int> temp = q.front();
		q.pop();
		
		int x = temp.first;
		int y = temp.second;
		for(int i = 0 ; i<8 ; i++){
			int nxtx = x + dir[i][0];     
			int nxty = y + dir[i][1];    
			
			if(nxtx<0 || nxty<0 || nxtx>=n || nxty>=m)  //下个位置在图之外 
				continue;
			if(mapp[nxtx][nxty] == '*')                 //下个位置没有油 
				continue;
			
			mapp[nxtx][nxty] = '*';                      
			q.push(make_pair(nxtx,nxty));
		}
	}
}

int main(){
	ios::sync_with_stdio(false);
	while(cin>>n>>m){
		if(n==0 && m==0)
			break;
		ans = 0;
		
		for(int i = 0 ; i<n ; i++){
			cin>>mapp[i];
		}
		for(int i = 0 ; i<n ; i++){
			for(int j = 0 ; j<m ; j++){
				if(mapp[i][j] == '@'){
					bfs(i,j);
					ans++;
				}
			}
		}
		cout<<ans<<endl;
	}
	return 0;
}


### 关于 kuangbin ACM 算法竞赛培训计划 #### 数论基础专题介绍 “kuangbin专题十四涵盖了数论基础知识的学习,旨在帮助参赛者掌握算法竞赛中常用的数论概念和技术。该系列不仅提供了丰富的理论讲解,还推荐了一本详细的书籍《算法竞赛中的初等数论》,这本书包含了ACM、OI以及MO所需的基础到高级的数论知识点[^1]。 #### 并查集应用实例 在另一个具体的例子中,“kuangbin”的第五个专题聚焦于并查集的应用。通过解决实际问题如病毒感染案例分析来加深理解。在这个场景下,给定一组学生及其所属的不同社团关系图,目标是从这些信息出发找出所有可能被传染的学生数目。此过程涉及到了如何高效管理和查询集合成员之间的连通性问题[^2]。 #### 搜索技巧提升指南 对于简单搜索题目而言,在为期约两周的时间里完成了这一部分内容的学习;尽管看似容易,但对于更复杂的状况比如状态压缩或是路径重建等问题,则建议进一步加强训练以提高解题能力[^3]。 ```python def find_parent(parent, i): if parent[i] == i: return i return find_parent(parent, parent[i]) def union(parent, rank, x, y): rootX = find_parent(parent, x) rootY = find_parent(parent, y) if rootX != rootY: if rank[rootX] < rank[rootY]: parent[rootX] = rootY elif rank[rootX] > rank[rootY]: parent[rootY] = rootX else : parent[rootY] = rootX rank[rootX] += 1 # Example usage of Union-Find algorithm to solve the virus spread problem. ```
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值