CodeForces 360A - Levko and Array Recovery 给出操作求原始数列

本文介绍了一种高效解决数列操作问题的方法,包括加法操作和最大值查询,通过每次最大值的限制来简化问题。实现了一个C++程序来解决给定的操作序列,输出原始数列或判断是否存在合法的数列。

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           题意: 

                    对一个数列有这么两个操作

                    1、(1,l,r,p)..将区间[l,r]所有数都加上p

                    2、(2,l,r,m).求出区间[l,r]的最大值为m

                     现在告诉这么一些操作(<5000个)...问能否找到一个原始的数列..有则输出YES与这个数列..否则输出NO..答案可能不唯一..输出任何合法的都行..

           题解:

                     昨晚写这题的时候都1点多了..脑袋完全浆糊..其实也有了一个大致的思路..通过每次的最大值可以限制很多东西..

                     今天参考了别人的思想..写出来..其实这题是不难想的...实际上就是求出每个位置初始时可能的最小值...然后再判断是否合法即可..


Program:

#pragma comment(linker, "/STACK:1024000000,1024000000")  
#include<iostream>
#include<stdio.h>
#include<string.h>
#include<set>
#include <stack>
#include<queue>
#include<algorithm>
#include<cmath>
#define oo 1000000007
#define MAXN 5005
#define ll long long
#define pi acos(-1.0) 
using namespace std;  
struct node
{
      int t,l,r,m;
}op[MAXN];
int a[MAXN],b[MAXN],n,m;
bool solve()
{
      int p,i,k;
      for (i=1;i<=n;i++) a[i]=1000000000;
      memset(b,0,sizeof(b));
      for (p=1;p<=m;p++)
         if (op[p].t==1)
              for (i=op[p].l;i<=op[p].r;i++) b[i]+=op[p].m;
         else
              for (i=op[p].l;i<=op[p].r;i++) 
                 a[i]=min(a[i],op[p].m-b[i]);
      memset(b,0,sizeof(b));
      for (p=1;p<=m;p++)
         if (op[p].t==1)
              for (i=op[p].l;i<=op[p].r;i++) b[i]+=op[p].m;
         else
         {
              k=-oo;
              for (i=op[p].l;i<=op[p].r;i++) k=max(k,a[i]+b[i]);
              if (k!=op[p].m) return false;
         }      
      return true;
}
int main()
{           
      int i; 
      scanf("%d%d",&n,&m);
      for (i=1;i<=m;i++) scanf("%d%d%d%d",&op[i].t,&op[i].l,&op[i].r,&op[i].m);
      if (!solve()) puts("NO");
               else {
                          puts("YES");
                          for (i=1;i<=n;i++) printf("%d ",a[i]);
                          puts("");
                    } 
      return 0;
}


### Codeforces Problem 976C Solution in Python For solving problem 976C on Codeforces using Python, efficiency becomes a critical factor due to strict time limits aimed at distinguishing between efficient and less efficient solutions[^1]. Given these constraints, it is advisable to focus on optimizing algorithms and choosing appropriate data structures. The provided code snippet offers insight into handling string manipulation problems efficiently by customizing comparison logic for sorting elements based on specific criteria[^2]. However, for addressing problem 976C specifically, which involves determining the winner ('A' or 'B') based on frequency counts within given inputs, one can adapt similar principles of optimization but tailored towards counting occurrences directly as shown below: ```python from collections import Counter def determine_winner(): for _ in range(int(input())): count_map = Counter(input().strip()) result = "A" if count_map['A'] > count_map['B'] else "B" print(result) determine_winner() ``` This approach leverages `Counter` from Python’s built-in `collections` module to quickly tally up instances of 'A' versus 'B'. By iterating over multiple test cases through a loop defined by user input, this method ensures that comparisons are made accurately while maintaining performance standards required under tight computational resources[^3]. To further enhance execution speed when working with Python, consider submitting codes via platforms like PyPy instead of traditional interpreters whenever possible since they offer better runtime efficiencies especially important during competitive programming contests where milliseconds matter significantly.
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