Codeforces D - GCD of Polynomials

本文介绍了一种基于多项式的逆推算法实现方法,通过已知的0次和1次多项式来递推求解更高次的多项式,并对系数进行特定的取模操作以简化计算。

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D - GCD of Polynomials

逆推,根据(i-2)次多项f(i-2)式和(i-1)次多项式f(i-1)推出i次多项式f(i)

f(i)=f(i-1)*x+f(i-2)

样例已经给出0次和1次的了

注意系数绝对值大于1对2取模

代码:

#include<bits/stdc++.h>
using namespace std;
#define ll long long
#define pb push_back
#define mem(a,b) memset(a,b,sizeof(a))

const int N=200+5;
int a[N][N];
int main()
{
    ios::sync_with_stdio(false);
    cin.tie(0);
    int n;
    cin>>n;
    a[0][1]=1;
    a[1][1]=0;
    a[1][2]=1;
    a[2][1]=-1;
    a[2][2]=0;
    a[2][3]=1;
    for(int i=3;i<=n;i++)
    {
        for(int j=1;j<=i+1;j++)
        a[i][j]=a[i-1][j-1];
        for(int j=1;j<=i+1;j++)
        a[i][j]+=a[i-2][j];
        for(int j=1;j<=i;j++)
        {
            if(abs(a[i][j])>=2)a[i][j]%=2;
        }
    }
    cout<<n<<endl;
    for(int i=1;i<=n+1;i++)
    cout<<a[n][i]<<' ';
    cout<<endl;
    cout<<n-1<<endl;
    for(int i=1;i<=n;i++)
    cout<<a[n-1][i]<<' ';
    cout<<endl;
    return 0;
}

 

转载于:https://www.cnblogs.com/widsom/p/8081572.html

### 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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