【概率】poj 2096:Collecting Bugs

本文探讨了一个软件中包含多个子系统及多种类型缺陷的情况下,如何计算找出所有类型缺陷并确保每个子系统至少有一个缺陷所需的平均时间。

 

Description

  Ivan is fond of collecting. Unlike other people who collect post stamps, coins or other material stuff, he collects software bugs. When Ivan gets a new program, he classifies all possible bugs into n categories. Each day he discovers exactly one bug in the program and adds information about it and its category into a spreadsheet. When he finds bugs in all bug categories, he calls the program disgusting, publishes this spreadsheet on his home page, and forgets completely about the program. 
  Two companies, Macrosoft and Microhard are in tight competition. Microhard wants to decrease sales of one Macrosoft program. They hire Ivan to prove that the program in question is disgusting. However, Ivan has a complicated problem. This new program has s subcomponents, and finding bugs of all types in each subcomponent would take too long before the target could be reached. So Ivan and Microhard agreed to use a simpler criteria --- Ivan should find at least one bug in each subsystem and at least one bug of each category. 
Macrosoft knows about these plans and it wants to estimate the time that is required for Ivan to call its program disgusting. It's important because the company releases a new version soon, so it can correct its plans and release it quicker. Nobody would be interested in Ivan's opinion about the reliability of the obsolete version. 
  A bug found in the program can be of any category with equal probability. Similarly, the bug can be found in any given subsystem with equal probability. Any particular bug cannot belong to two different categories or happen simultaneously in two different subsystems. The number of bugs in the program is almost infinite, so the probability of finding a new bug of some category in some subsystem does not reduce after finding any number of bugs of that category in that subsystem. 
Find an average time (in days of Ivan's work) required to name the program disgusting.

Input

  Input file contains two integer numbers, n and s (0 < n, s <= 1 000).

Output

  Output the expectation of the Ivan's working days needed to call the program disgusting, accurate to 4 digits after the decimal point.

  先说一说题意把:一个软件有 s 个子系统,存在 n 种 bug。某人一天能找到一个 bug。问,在这个软件中找齐 n 种 bug,并且每个子系统中至少包含一个 bug 的时间的期望值(单位:天)。注意:bug 是无限多的,每个 bug 属于任何一种 bug 的概率都是 1/n;出现在每个系统是等可能的,为 1/s。
  同样先开一个二维数组f[i][j],代表现在有了i种bug在j个系统中要到达目标的期望天数。
  那么再分四种:1.找到的bug在j个系统中且在i种内。此时递推式:f[i][j]=f[i][j]*i/n*j/s.
  2.在j系统内不在i种内,此时:f[i][j]=f[i+1][j]*(n-i)/n*j/s.
  3.不在在j系统内在i种内,此时:f[i][j]=f[i][j+1]*(s-j)/s*i/n.
  4.不在两者中,此时:f[i][j]=f[i+1][j+1]*(s-j)/s*(n-i)/n.
  根据期望定义,我们合并式子:f[i][j]=f[i+1][j]*(n-i)/n*j/s+f[i][j+1]*(s-j)/s*i/n+f[i+1][j+1]*(s-j)/s*(n-i)/n+f[i+1][j+1]*(s-j)/s*(n-i)/n。
  大家再随便化简一下吧。。(把f[i][j]移到左边去)
  还有这题卡精度。lf过不了的f都能过。呵呵。
 1 #include<cstdio>
 2 #include<cstring>
 3 #include<cmath>
 4 #include<algorithm>
 5 
 6 using namespace std;
 7 
 8 double f[1005][1005];
 9 
10 int main()
11 {
12     int n,s;
13     while(~scanf("%d%d",&n,&s))
14     {
15         memset(f,0,sizeof(f));
16         for(int i=n;i>=0;i--)
17             for(int j=s;j>=0;j--)
18             {
19                 if(n==i&&j==s)continue;
20                 f[i][j]=(double)(f[i+1][j]*(n-i)*j+f[i][j+1]*i*(s-j)+f[i+1][j+1]*(n-i)*(s-j)+n*s)/(n*s-i*j);
21             }
22         printf("%.4f\n",f[0][0]);
23     }
24     return 0;
25 }
View Code

 

数据驱动的两阶段分布鲁棒(1-范数和∞-范数约束)的电热综合能源系统研究(Matlab代码实现)内容概要:本文围绕“数据驱动的两阶段分布鲁棒(1-范数和∞-范数约束)的电热综合能源系统研究”展开,提出了一种结合数据驱动与分布鲁棒优化方法的建模框架,用于解决电热综合能源系统在不确定性环境下的优化调度问题。研究采用两阶段优化结构,第一阶段进行预决策,第二阶段根据实际场景进行调整,通过引入1-范数和∞-范数约束来构建不确定集,有效刻画风电、负荷等不确定性变量的波动特性,提升模型的鲁棒性和实用性。文中提供了完整的Matlab代码实现,便于读者复现和验证算法性能,并结合具体案例分析了不同约束条件下系统运行的经济性与可靠性。; 适合人群:具备一定电力系统、优化理论和Matlab编程基础的研究生、科研人员及工程技术人员,尤其适合从事综合能源系统、鲁棒优化、不确定性建模等相关领域研究的专业人士。; 使用场景及目标:①掌握数据驱动的分布鲁棒优化方法在综合能源系统中的应用;②理解1-范数和∞-范数在构建不确定集中的作用与差异;③学习两阶段鲁棒优化模型的建模思路与Matlab实现技巧,用于科研复现、论文写作或工程项目建模。; 阅读建议:建议读者结合提供的Matlab代码逐段理解算法实现细节,重点关注不确定集构建、两阶段模型结构设计及求解器调用方式,同时可尝试更换数据或调整约束参数以加深对模型鲁棒性的理解。
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