Codeforces Problem - 101B - Buses(树状数组|区间和)

本文介绍了一种计算从起点到终点的乘车方案数量的算法。通过排序和离散化处理,利用树状数组实现区间加和操作,有效地解决了该问题。

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题目链接


题意:

要从0站坐车到n站

有m辆车 每辆车的起点为 si 站,终点为 ti 站

上车后只能在终点站下车,但可以在非终点站上车

求从0站到n站有几种乘车方案


将车按终点排个序

坐上第i辆车的方案数就是 [si,ti-1] 的乘车方案数,如果si=0则还要+1

就是求区间和的问题

要离散化


#include <iostream>
#include <string.h>
#include <stdio.h>
#include <algorithm>
using namespace std;
const int mod = 1e9 + 7;
const int N = 2e5 + 10;
int n,m,Rn,Rank[N];
int sum[N];
struct node{
    int s,t;
}a[N];
bool cmp(node a,node b){
    return a.t<b.t;
}
void setRank(){
    int I = 1;
    sort(Rank+1,Rank+1+Rn);
    for(int i=2;i<=Rn;i++) if(Rank[i]!=Rank[i-1]) Rank[++I] = Rank[i];
    Rn = I;
}
int getRank(int n){
    return lower_bound(Rank+1, Rank+1+Rn, n) - Rank;
}
int low(int x){return x&-x;}
void add(int x,int val){
    for( ; x<=Rn ; x += low(x)){
        sum[x] = (sum[x] + val) % mod;
    }
}
int Sum(int x){
    int ans = 0;
    for( ; x ; x -= low(x)){
        ans = (ans + sum[x]) % mod;
    }
    return ans;
}
int main()
{
    scanf("%d%d",&n,&m);
    for(int i=0;i<m;i++){
        scanf("%d%d",&a[i].s,&a[i].t);
        Rank[++Rn] = a[i].s; Rank[++Rn] = a[i].t;
    }
    Rank[++Rn] = n;
    setRank();
    sort(a,a+m,cmp);
    for(int i=0;i<m;i++){
        int ss = getRank(a[i].s);
        int tt = getRank(a[i].t);
        int p = Sum(tt-1) - Sum(ss-1);
        if(a[i].s==0) p++;
        add(tt, (p+mod)%mod);
    }
    int nn = getRank(n);
    printf("%d\n",(Sum(nn) - Sum(nn-1) + mod) % mod);
    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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