CodeForces - 327AFlipping Game

介绍了一个翻转游戏问题,目标是在限定时间内通过翻转区间内的0和1来获得最多数量的1。文章提供了两种解决方案,一种是使用暴力枚举区间的方法进行求解,另一种则是通过观察并利用前缀和来优化算法,最终实现O(n)的时间复杂度。

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A. Flipping Game

time limit per test1 second
memory limit per test256 megabytes
inputstandard input
outputstandard output
Iahub got bored, so he invented a game to be played on paper.

He writes n integers a1, a2, …, an. Each of those integers can be either 0 or 1. He’s allowed to do exactly one move: he chooses two indices i and j (1 ≤ i ≤ j ≤ n) and flips all values ak for which their positions are in range [i, j] (that is i ≤ k ≤ j). Flip the value of x means to apply operation x = 1 - x.

The goal of the game is that after exactly one move to obtain the maximum number of ones. Write a program to solve the little game of Iahub.

Input
The first line of the input contains an integer n (1 ≤ n ≤ 100). In the second line of the input there are n integers: a1, a2, …, an. It is guaranteed that each of those n values is either 0 or 1.

Output
Print an integer — the maximal number of 1s that can be obtained after exactly one move.

Examples
input
5
1 0 0 1 0
output
4
input
4
1 0 0 1
output
4
Note
In the first case, flip the segment from 2 to 5 (i = 2, j = 5). That flip changes the sequence, it becomes: [1 1 1 0 1]. So, it contains four ones. There is no way to make the whole sequence equal to [1 1 1 1 1].

In the second case, flipping only the second and the third element (i = 2, j = 3) will turn all numbers into 1.

题意:

可以对一段区间里的01取反一次,n<=100,
1.暴力枚举区间在计算答案O(n^3)

2.暴力枚举区间前缀和优化算答案O(n^2)

3.观察每次用前缀和计算[L,R]答案(ai记录1-i中,1的个数,bi记录1-i中,0的个数)
ans=a[L-1]+a[n]-a[R]+a[R]-b[L-1];
现在考虑以R为右端点的区间,a[n]-a[R]+b[R]这一部分始终是相同的,所以我们只要找到a[L-1]-b[l-1]这段区间的最大值即可,而这个最大值可以直接开一个变量维护
复杂度O(n)

O(n^2)代码

#include<cstdio>
#include<cstring>
#include<algorithm>
#include<cmath>
#include<iostream>
using namespace std;
const int maxn=1e5+5;
int a[maxn],b[maxn],n,x;

int main()
{
  while(~scanf("%d",&n))
  {
    for(int i=1;i<=n;++i)
    {
      scanf("%d",&x);
      a[i]=a[i-1]+(x==1);
      b[i]=b[i-1]+(x==0);
    }
    int ans=0;
    for(int i=1;i<=n;++i)
      for(int j=i;j<=n;++j)
      ans=max(ans,a[i-1]+a[n]-a[j]+b[j]-b[i-1]);

    //for(int i=1;i<=n;++i)printf("a=%d b=%d\n",a[i],b[i]);

    printf("%d\n",ans);
  }
  return 0;
}

O(n)代码

#include<cstdio>
#include<cstring>
#include<algorithm>
#include<cmath>
#include<iostream>
using namespace std;
const int maxn=1e5+5;
int a[maxn],b[maxn],n,x;

int main()
{
  while(~scanf("%d",&n))
  {
    for(int i=1;i<=n;++i)
    {
      scanf("%d",&x);
      a[i]=a[i-1]+(x==1);
      b[i]=b[i-1]+(x==0);
    }
    int ans=0,res=0;
    for(int i=1;i<=n;++i)
    {
      ans=max(ans,res+a[n]-a[i]+b[i]);
      if(a[i]-b[i]>res)res=a[i]-b[i];
    }


    //for(int i=1;i<=n;++i)printf("a=%d b=%d\n",a[i],b[i]);

    printf("%d\n",ans);
  }
  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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