HDU-1702

本文介绍了一种利用数据结构解决迷宫问题的方法。通过对比队列(FIFO)和栈(FILO)的特点,在特定输入下输出相应的结果,旨在演示这两种基本数据结构的应用场景。

ACboy was kidnapped!! 
he miss his mother very much and is very scare now.You can't image how dark theroom he was put into is, so poor :(. 
 As a smart ACMer, you want to get ACboy out of the monster'slabyrinth.But when you arrive at the gate of the maze, the monste say :" Ihave heard that you are very clever, but if can't solve my problems, you willdie with ACboy." 
The problems of the monster is shown on the wall: 
 Each problem's first line is a integer N(the number of commands), and aword "FIFO" or "FILO".(you are very happy because you know"FIFO" stands for "First In First Out", and"FILO" means "First In Last Out"). 
and the following N lines, each line is "IN M" or "OUT", (Mrepresent a integer). 
 and the answer of a problem is a passowrd of a door, so if you want torescue ACboy, answer the problem carefully!

Input

The input contains multiple test cases. 
The first line has one integer,represent the number oftest cases. 
And the input of each subproblem are described above.

Output

For each command "OUT", you should output ainteger depend on the word is "FIFO" or "FILO", or a word"None" if you don't have any integer.

Sample Input

4

4 FIFO

IN 1

IN 2

OUT

OUT

4 FILO

IN 1

IN 2

OUT

OUT

5 FIFO

IN 1

IN 2

OUT

OUT

OUT

5 FILO

IN 1

IN 2

OUT

IN 3

OUT

Sample Output

1

2

2

1

1

2

None

2

3

思路:

“FIFO”(First In First Out)就是队列,“FILO”(First In Last Out) 就是栈。使用STL的stack和queue直接进行模拟即可。


代码如下:

#include<iostream>
#include<stack>
#include<queue>
using namespace std;
int main()
{
	int T; char a[] = "FIFO";
	cin >> T;
	while (T--)
	{
		stack<int>Zhan;
		queue<int>Dui;
		int CISHU; char sign[50];
		cin >> CISHU >> sign;
		if (strcmp(sign, a) == 0)
		{
			int  m; char b[50];
			for (int i = 1; i <= CISHU; i++)
			{
				cin >> b;
				if (strlen(b) == 2)
				{
					cin >> m;
					Dui.push(m);
				}
				else 
				{
					if (!Dui.empty())
					{
						cout << Dui.front() << endl;
						Dui.pop();
					}
					else  cout << "None" << endl;
				}
			}
		}
		else
		{       int m; char b[50];
			for (int i = 1; i <= CISHU; i++)
			{
				cin >> b;
				if (strlen(b) == 2)
				{
					cin >> m;
					Zhan.push(m);
				}
				else
				{
					if (!Zhan.empty())
					{
						cout << Zhan.top() << endl;
						Zhan.pop();
					}
					else  cout << "None" << endl;
				}
			}

		}
	}
	return 0;
	}
	




### 关于HDU - 6609 的题目解析 由于当前未提供具体关于 HDU - 6609 题目的详细描述,以下是基于一般算法竞赛题型可能涉及的内容进行推测和解答。 #### 可能的题目背景 假设该题目属于动态规划类问题(类似于多重背包问题),其核心在于优化资源分配或路径选择。此类问题通常会给出一组物品及其属性(如重量、价值等)以及约束条件(如容量限制)。目标是最优地选取某些物品使得满足特定的目标函数[^2]。 #### 动态转移方程设计 如果此题确实是一个变种的背包问题,则可以采用如下状态定义方法: 设 `dp[i][j]` 表示前 i 种物品,在某种条件下达到 j 值时的最大收益或者最小代价。对于每一种新加入考虑范围内的物体 k ,更新规则可能是这样的形式: ```python for i in range(n): for s in range(V, w[k]-1, -1): dp[s] = max(dp[s], dp[s-w[k]] + v[k]) ``` 这里需要注意边界情况处理以及初始化设置合理值来保证计算准确性。 另外还有一种可能性就是它涉及到组合数学方面知识或者是图论最短路等相关知识点。如果是后者的话那么就需要构建相应的邻接表表示图形结构并通过Dijkstra/Bellman-Ford/Floyd-Warshall等经典算法求解两点间距离等问题了[^4]。 最后按照输出格式要求打印结果字符串"Case #X: Y"[^3]。 #### 示例代码片段 下面展示了一个简单的伪代码框架用于解决上述提到类型的DP问题: ```python def solve(): t=int(input()) res=[] cas=1 while(t>0): n,k=list(map(int,input().split())) # Initialize your data structures here ans=find_min_unhappiness() # Implement function find_min_unhappiness() res.append(f'Case #{cas}: {round(ans)}') cas+=1 t-=1 print("\n".join(res)) solve() ```
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