Collecting Bugs POJ 2096
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Collecting Bugs
Time Limit: 10000MS Memory Limit: 64000KTotal Submissions: 2041 Accepted: 974Case Time Limit: 2000MS Special Judge
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.
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.
Sample Input
1 2
Sample Output
3.0000
总结:期望dp总是要把当前的状态表示出来,状态的转移需要在数组的下表中体现出来。
/*分析:在这里有s,n两个变量,假设dp[i][j]表示已经发现i种bug存在j个系统到目标所需要的天数,显然dp[n][s]=0; 从dp[i][j]经过一天后可能得到以下四种情况: dp[i][j]->dp[i+1][j+1];//在一个新的系统里面发现一个新的bug dp[i][j]->dp[i+1][j];//在原来已发现过bug的系统里发现一个新的bug dp[i][j]->dp[i][j+1];//在一个新的系统里面发现一个已被发现过的bug dp[i][j]->dp[i][j];//在已发现过bug的系统发现已发现过的bug 四种到达的概率分别是: p1=(n-i)*(s-j)/(n*s); p2=(n-i)*j/(n*s); p3=i*(s-j)/(n*s); p4=i*j/(n*s); 然后根据E(aA+bB+cC+dD+...)=aEA+bEB+....;//a,b,c,d...表示概率,A,B,C...表示状态 所以dp[i][j]=p1*dp[i+1][j+1]+p2*dp[i+1][j]+p3*dp[i][j+1]+p4*dp[i][j]+1;//dp[i][j]表示的就是到达状态i,j的期望 =>dp[i][j]=(p1*dp[i+1][j+1]+p2*dp[i+1][j]+p3*dp[i][j+1]+1)/(1-p4); */ #include <iostream> #include <cstdio> #include <cstdlib> #include <cstring> #include <string> #include <queue> #include <map> #include <cmath> #include <iomanip> #define INF 99999999 typedef long long LL; using namespace std; const int MAX=1000+10; int n,s; double dp[MAX][MAX],p1,p2,p3,p4; int main(){ while(cin>>n>>s){ memset(dp,0,sizeof dp); for(int i=n;i>=0;--i){ for(int j=s;j>=0;--j){ if(i == n && j == s)continue; p1=(n-i)*(s-j)*1.0; p2=(n-i)*j*1.0; p3=i*(s-j)*1.0; p4=n*s-i*j*1.0; dp[i][j]=(p1*dp[i+1][j+1]+p2*dp[i+1][j]+p3*dp[i][j+1]+n*s)/p4; } } printf("%.4lf\n",dp[0][0]); } return 0; }
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