HDU——1133 Buy the Ticket

此问题是关于 Harry Potter 的疯狂粉丝如何成功购买电影票。粉丝们排队购票,但只接受50美元和100美元钞票。售票处初始没有现金储备。问题在于计算有多少种不同的排队方式能确保从第一个人到最后一个人购票过程不会因为找不开零钱而中断。

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                Buy the Ticket

      Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
        Total Submission(s): 7152    Accepted Submission(s): 2998

Problem Description
The "Harry Potter and the Goblet of Fire" will be on show in the next few days. As a crazy fan of Harry Potter, you will go to the cinema and have the first sight, won’t you?

Suppose the cinema only has one ticket-office and the price for per-ticket is 50 dollars. The queue for buying the tickets is consisted of m + n persons (m persons each only has the 50-dollar bill and n persons each only has the 100-dollar bill).

Now the problem for you is to calculate the number of different ways of the queue that the buying process won't be stopped from the first person till the last person. 
Note: initially the ticket-office has no money. 

The buying process will be stopped on the occasion that the ticket-office has no 50-dollar bill but the first person of the queue only has the 100-dollar bill.
 
Input
The input file contains several test cases. Each test case is made up of two integer numbers: m and n. It is terminated by m = n = 0. Otherwise, m, n <=100.
 
Output
For each test case, first print the test number (counting from 1) in one line, then output the number of different ways in another line.
 
Sample Input
3 0 3 1 3 3 0 0

 

Sample Output
Test #1: 6 Test #2: 18 Test #3: 180
 
Author
HUANG, Ninghai
 
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转载于:https://www.cnblogs.com/z360/p/7338322.html

### HDU OJ Problem 2566 Coin Counting Solution Using Simple Enumeration and Generating Function Algorithm #### 使用简单枚举求解硬币计数问题 对于简单的枚举方法,可以通过遍历所有可能的组合方式来计算给定面额下的不同硬币组合数量。这种方法虽然直观但效率较低,在处理较大数值时性能不佳。 ```java import java.util.Scanner; public class Main { public static void main(String[] args) { Scanner scanner = new Scanner(System.in); int[] coins = {1, 2, 5}; // 定义可用的硬币种类 while (scanner.hasNext()) { int targetAmount = scanner.nextInt(); int countWays = findNumberOfCombinations(targetAmount, coins); System.out.println(countWays); } } private static int findNumberOfCombinations(int amount, int[] denominations) { if (amount == 0) return 1; if (amount < 0 || denominations.length == 0) return 0; // 不使用当前面值的情况 int excludeCurrentDenomination = findNumberOfCombinations(amount, subArray(denominations)); // 使用当前面值的情况 int includeCurrentDenomination = findNumberOfCombinations(amount - denominations[0], denominations); return excludeCurrentDenomination + includeCurrentDenomination; } private static int[] subArray(int[] array) { if (array.length <= 1) return new int[]{}; return java.util.Arrays.copyOfRange(array, 1, array.length); } } ``` 此代码实现了通过递归来穷尽每一种可能性并累加结果的方式找到满足条件的不同组合数目[^2]。 #### 利用母函数解决硬币计数问题 根据定义,可以将离散序列中的每一个元素映射到幂级数的一个项上,并利用这些多项式的乘积表示不同的组合情况。具体来说: 设 \( f(x)=\sum_{i=0}^{+\infty}{a_i*x^i}\),其中\( a_i \)代表当总金额为 i 时能够组成的方案总数,则有如下表达式: \[f_1(x)=(1+x+x^2+...)\] 这实际上是一个几何级数,其封闭形式可写作: \[f_1(x)=\frac{1}{(1-x)}\] 同理,对于其他类型的硬币也存在类似的生成函数。因此整个系统的生成函数就是各个单独部分之积: \[F(x)=f_1(x)*f_2(x)...*f_n(x)\] 最终目标是从 F(x) 中提取系数即得到所需的结果。下面给出基于上述理论的具体实现: ```cpp #include<iostream> using namespace std; const int MAXN = 1e4 + 5; int dp[MAXN]; void solve() { memset(dp, 0, sizeof(dp)); dp[0] = 1; // 初始化基础状态 int values[] = {1, 2, 5}, size = 3; for (int j = 0; j < size; ++j){ for (int k = values[j]; k <= 10000; ++k){ dp[k] += dp[k-values[j]]; } } } int main(){ solve(); int T; cin >> T; while(T--){ int n; cin>>n; cout<<dp[n]<<endl; } return 0; } ``` 这段 C++ 程序展示了如何应用动态规划技巧以及生成函数的概念高效地解决问题实例[^1]。
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