Codeforces 960C - Subsequence Counting(构造题)

本文介绍了一种算法,用于根据特定条件构造一个数列,使得该数列的合法子序列数量符合给定值X。通过将目标值X进行二进制拆分,并遵循特定模式进行构造,确保最终数列满足题目要求。

链接
题意:
对于一个数组,将这个数组的所有非空子序列写下,然后删掉满足:最大值与最小值的差大于等于d
的子序列。
最后剩下了X
个子序列。
请你给出原序列的一种合法排列。

解析:
k个x和一个x+d可以产生2的k次方的贡献,下一个可以为
k1个x+2d和一个x+3d产生2的k1次方的贡献,所以我们直接对x进行二进制拆分然后照这种模式构造即可

#include<bits/stdc++.h>
#define ll long long
#define inf 0x3f3f3f3f
#define pb push_back
#define rep(i,a,b) for(int i=a;i<=b;i++)
#define rep1(i,b,a) for(int i=b;i>=a;i--)
using namespace std;
const int N=1e5+100;
ll arr[N];
ll app[N];
ll b[N];
int main()
{
    ll x,d,cnt=0;
    cin>>x>>d;
    ll now=1;
    int a=0;
    while(x)
    {
        if(x&1)
        {
            for(int i=1;i<=a;++i)
                b[++cnt]=now;
            if(a!=0)
                now+=d;
            b[++cnt]=now;
            now+=d;
        }
        x>>=1;
        ++a;
    }
    cout<<cnt<<endl;
    rep(i,1,cnt)
    cout<<b[i]<<' ';
    cout<<endl;
    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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