CodeForces978E Bus Video System(模拟&细节)

本文介绍了一个基于公交车视频监控系统的数据分析问题。通过记录乘客上下车的变化数据,探讨了如何确定公交车在第一站之前可能的乘客数量,并给出了具体的算法实现。

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The busses in Berland are equipped with a video surveillance system. The system records information about changes in the number of passengers in a bus after stops.

If xx is the number of passengers in a bus just before the current bus stop and yy is the number of passengers in the bus just after current bus stop, the system records the number yxy−x. So the system records show how number of passengers changed.

The test run was made for single bus and nn bus stops. Thus, the system recorded the sequence of integers a1,a2,,ana1,a2,…,an (exactly one number for each bus stop), where aiaiis the record for the bus stop ii. The bus stops are numbered from 11 to nn in chronological order.

Determine the number of possible ways how many people could be in the bus before the first bus stop, if the bus has a capacity equals to ww (that is, at any time in the bus there should be from 00 to ww passengers inclusive).

Input

The first line contains two integers nn and ww (1n1000,1w109)(1≤n≤1000,1≤w≤109) — the number of bus stops and the capacity of the bus.

The second line contains a sequence a1,a2,,ana1,a2,…,an (106ai106)(−106≤ai≤106), where aiai equals to the number, which has been recorded by the video system after the ii-th bus stop.

Output

Print the number of possible ways how many people could be in the bus before the first bus stop, if the bus has a capacity equals to ww. If the situation is contradictory (i.e. for any initial number of passengers there will be a contradiction), print 0.

Examples
Input
3 5
2 1 -3
Output
3
Input
2 4
-1 1
Output
4
Input
4 10
2 4 1 2
Output
2
Note

In the first example initially in the bus could be 0011 or 22 passengers.

In the second example initially in the bus could be 112233 or 44 passengers.

In the third example initially in the bus could be 00 or 11 passenger.


题意:给出n和w,n表示n站,w表示公交车的最大容量。

给出每一站公交车的上下人情况,正数表示上人,负数表示下人,问在一开始的时候公交车有多少种可能的人数。


解题思路:求出车中上人的数量的最大值maxx,和下人的最大值minn。

如果每一站全是上人,那么初始时的人数为w-maxx+1。

如果每一站都是下人,那么初始时的人数为w+minn+1

如果既有上人也有下人,那么初始人数为最小值到最大值区间里的人数,如果这个人数不符合条件则输出0。


AC代码:

#include<stdio.h>
#define INF 0x3f3f3f3f

int main()
{
	int n,m,x;
	while(~scanf("%d%d",&n,&m))
	{
		int sum=0,minn=INF,maxx=-INF;
		for(int i=0;i<n;i++)
		{
			scanf("%d",&x);
			sum+=x;
			if(sum>maxx) maxx=sum;
			if(sum<minn) minn=sum;
		}
		
		if(-minn>m||maxx>m) printf("0\n");//超出车的容量 
		else if(minn>=0) printf("%d\n",m-maxx+1);//每一站全是上人 
		else if(maxx<=0) printf("%d\n",m+minn+1);//每一站全是下人 
		else//有上人也有下人 
		{
			int s1=-minn;
			int s2=m-maxx; 
			if(s2-s1+1>0&&s2-s1+1<=m) printf("%d\n",s2-s1+1);
			else printf("0\n");
		}
	}
	return 0;
}

### Codeforces 887E Problem Solution and Discussion The problem **887E - The Great Game** on Codeforces involves a strategic game between two players who take turns to perform operations under specific rules. To tackle this challenge effectively, understanding both dynamic programming (DP) techniques and bitwise manipulation is crucial. #### Dynamic Programming Approach One effective method to approach this problem utilizes DP with memoization. By defining `dp[i][j]` as the optimal result when starting from state `(i,j)` where `i` represents current position and `j` indicates some status flag related to previous moves: ```cpp #include &lt;bits/stdc++.h&gt; using namespace std; const int MAXN = ...; // Define based on constraints int dp[MAXN][2]; // Function to calculate minimum steps using top-down DP int minSteps(int pos, bool prevMoveType) { if (pos &gt;= N) return 0; if (dp[pos][prevMoveType] != -1) return dp[pos][prevMoveType]; int res = INT_MAX; // Try all possible next positions and update &#39;res&#39; for (...) { /* Logic here */ } dp[pos][prevMoveType] = res; return res; } ``` This code snippet outlines how one might structure a solution involving recursive calls combined with caching results through an array named `dp`. #### Bitwise Operations Insight Another critical aspect lies within efficiently handling large integers via bitwise operators instead of arithmetic ones whenever applicable. This optimization can significantly reduce computation time especially given tight limits often found in competitive coding challenges like those hosted by platforms such as Codeforces[^1]. For detailed discussions about similar problems or more insights into solving strategies specifically tailored towards contest preparation, visiting forums dedicated to algorithmic contests would be beneficial. Websites associated directly with Codeforces offer rich resources including editorials written after each round which provide comprehensive explanations alongside alternative approaches taken by successful contestants during live events. --related questions-- 1. What are common pitfalls encountered while implementing dynamic programming solutions? 2. How does bit manipulation improve performance in algorithms dealing with integer values? 3. Can you recommend any online communities focused on discussing competitive programming tactics? 4. Are there particular patterns that frequently appear across different levels of difficulty within Codeforces contests?
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