codeforces 768D Jon and Orbs

本文介绍了一个基于概率动态规划的问题,旨在计算收集多种类型水晶所需的最小天数,使得每种水晶至少出现一次的概率达到特定阈值。通过构建DP状态转移方程,实现了高效查询不同阈值对应的等待天数。


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 kq (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

题意:有k种水晶,每天生产其中一种,生产每种水晶的概率是均等的,有q次询问,问至少需要几天每一种水晶都存在的概率>p/2000。

思路:听说是概率dp,表示没接触过,对我来说和普通的dp没什么两样。。。。dp[i][j]表示第i天生产了j种水晶的概率,很明显有dp转移方程dp[i][j]=dp[i-1][j-1]*(k-j+1)/k+dp[i-1][j]*j/k,因为p范围是1~1000,所以跑到超过范围我们就不用跑了,用滑动窗口的技巧记录1~1000的答案,然后就能O(1)查询了。下面给代码:

#include<cstdio>  
#include<algorithm>  
#include<cstring>  
#include<iostream>  
#include<cmath>  
#include<queue>  
#include<functional>  
typedef long long LL;
using namespace std;
#define maxn 1005
#define ll l,mid,now<<1  
#define rr mid+1,r,now<<1|1  
#define lson l1,mid,l2,r2,now<<1  
#define rson mid+1,r1,l2,r2,now<<1|1  
#define inf 0x3f3f3f3f  
const int mod = 1e9 + 7;
double dp[10 * maxn][maxn];
int ans[maxn];
int main(){
	int k, q;
	scanf("%d%d", &k, &q);
	dp[0][0] = 1;
	for (int i = 1; ; i++){
		dp[i][0] = 0;
		for (int j = 1; j <= k; j++){
			dp[i][j] = dp[i - 1][j - 1] * ((k - j + 1.0) / k) + dp[i - 1][j] * j / k;
		}
		if (dp[i][k] * 2 >= 1)
			break;
	}
	int pos = 1;
	for (int i = 1; i <= 1000; i++){
		while (dp[pos][k] * 2000 < i)
			pos++;
		ans[i] = pos;
	}
	while (q--){
		int p;
		scanf("%d", &p);
		printf("%d\n", ans[p]);
	}
}


### 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?
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