Codeforces 768D Jon and Orbs【概率Dp】

本文介绍了一种使用动态规划解决特定概率收集问题的方法。该问题涉及估算获取一系列不同物品所需的最小天数,使得获得每种物品的概率超过某个阈值。
D. Jon and Orbs
time limit per test
2 seconds
memory limit per test
256 megabytes
input
standard input
output
standard output

Jon Snow is on the lookout for some orbs required to defeat the white walkers. There are k different types of orbs and he needs at least one of each. One orb spawns daily at the base of a Weirwood tree north of the wall. The probability of this orb being of any kind is equal. As the north of wall is full of dangers, he wants to know the minimum number of days he should wait before sending a ranger to collect the orbs such that the probability of him getting at least one of each kind of orb is at least , where ε < 10 - 7.

To better prepare himself, he wants to know the answer for q different values of pi. Since he is busy designing the battle strategy with Sam, he asks you for your help.

Input

First line consists of two space separated integers k, q (1 ≤ k, q ≤ 1000) — number of different kinds of orbs and number of queries respectively.

Each of the next q lines contain a single integer pi (1 ≤ pi ≤ 1000) — i-th query.

Output

Output q lines. On i-th of them output single integer — answer for i-th query.

Examples
Input
1 1
1
Output
1
Input
2 2
1
2
Output
2
2

题目大意:

一共有K种物品,每天可以生产任意一种,产生每一种物品的概率是相等的,有Q个查询,每个查询表示询问将所有种类物品都生产出来并且概率大于p/2000的最小天数。


思路:


涉及到概率以及最小值的查询问题,考虑Dp。

问题无非就两种状态,一个是天数,一个是生产物品的种类数,那么不妨设定dp【i】【j】表示到第i天,生产了j种物品的概率。


那么就有:Dp【i】【j】=Dp【i-1】【j】*j/k+Dp【i-1】【j-1】*(k-j+1)/k


过程统计维护一下答案即可。


Ac代码:

#include<stdio.h>
#include<string.h>
using namespace std;
double dp[10500][1005];
int main()
{
    int k,q;
    while(~scanf("%d%d",&k,&q))
    {
        dp[0][0]=1;
        for(int i=1;i<=10400;i++)
        {
            for(int j=1;j<=k;j++)
            {
                dp[i][j]+=dp[i-1][j]*(j*1.0/k*1.0);
                dp[i][j]+=dp[i-1][j-1]*((k-(j-1))*1.0/k*1.0);
            }
        }
        while(q--)
        {
            int p;
            scanf("%d",&p);
            for(int i=1;i<=10400;i++)
            {
                if(dp[i][k]>(double)p/(double)2000)
                {
                    printf("%d\n",i);
                    break;
                }
            }
        }
    }
}




### Codeforces 1487D Problem Solution The problem described involves determining the maximum amount of a product that can be created from given quantities of ingredients under an idealized production process. For this specific case on Codeforces with problem number 1487D, while direct details about this exact question are not provided here, similar problems often involve resource allocation or limiting reagent type calculations. For instance, when faced with such constraints-based questions where multiple resources contribute to producing one unit of output but at different ratios, finding the bottleneck becomes crucial. In another context related to crafting items using various materials, it was determined that the formula `min(a[0],a[1],a[2]/2,a[3]/7,a[4]/4)` could represent how these limits interact[^1]. However, applying this directly without knowing specifics like what each array element represents in relation to the actual requirements for creating "philosophical stones" as mentioned would require adjustments based upon the precise conditions outlined within 1487D itself. To solve or discuss solutions effectively regarding Codeforces' challenge numbered 1487D: - Carefully read through all aspects presented by the contest organizers. - Identify which ingredient or component acts as the primary constraint towards achieving full capacity utilization. - Implement logic reflecting those relationships accurately; typically involving loops, conditionals, and possibly dynamic programming depending on complexity level required beyond simple minimum value determination across adjusted inputs. ```cpp #include <iostream> #include <vector> using namespace std; int main() { int n; cin >> n; vector<long long> a(n); for(int i=0;i<n;++i){ cin>>a[i]; } // Assuming indices correspond appropriately per problem statement's ratio requirement cout << min({a[0], a[1], a[2]/2LL, a[3]/7LL, a[4]/4LL}) << endl; } ``` --related questions-- 1. How does identifying bottlenecks help optimize algorithms solving constrained optimization problems? 2. What strategies should contestants adopt when translating mathematical formulas into code during competitive coding events? 3. Can you explain why understanding input-output relations is critical before implementing any algorithmic approach? 4. In what ways do prefix-suffix-middle frameworks enhance model training efficiency outside of just tokenization improvements? 5. Why might adjusting sample proportions specifically benefit models designed for tasks requiring both strong linguistic comprehension alongside logical reasoning skills?
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