Codeforces Beta Round #63 (Div. 2)

本文介绍了一种夏季两项比赛中制定最佳投注策略的方法。比赛由多个等长赛段组成,每位参赛者从特定赛段开始到结束,每个赛段确定独立赢家。目标是帮助投注者通过合理选择获得最大收益。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

题目叙述:

In Chelyabinsk lives a much respected businessman Nikita with a strange nickname "Boss". Once Nikita decided to go with his friend Alex to the Summer Biathlon World Cup. Nikita, as a very important person, received a token which allows to place bets on each section no more than on one competitor.

To begin with friends learned the rules: in the race there are n sections of equal length and m participants. The participants numbered from 1 to m. About each participant the following is known:

  • li — the number of the starting section,
  • ri — the number of the finishing section (li ≤ ri),
  • ti — the time a biathlete needs to complete an section of the path,
  • ci — the profit in roubles. If the i-th sportsman wins on one of the sections, the profit will be given to the man who had placed a bet on that sportsman.

The i-th biathlete passes the sections from li to ri inclusive. The competitor runs the whole way in (ri - li + 1)·ti time units. It takes him exactly ti time units to pass each section. In case of the athlete's victory on k sections the man who has betted on him receives k·ci roubles.

In each section the winner is determined independently as follows: if there is at least one biathlete running this in this section, then among all of them the winner is the one who has ran this section in minimum time (spent minimum time passing this section). In case of equality of times the athlete with the smaller index number wins. If there are no participants in this section, then the winner in this section in not determined. We have to say that in the summer biathlon all the participants are moving at a constant speed.

We should also add that Nikita can bet on each section and on any contestant running in this section.

Help the friends find the maximum possible profit.

此题易于理解:


解题思路:

水题,思路直接看代码:


我的代码:


#include<iostream>
using namespace std;
int main()
{
    int n,m;
    int a[105]={0};         //下标代表每一个选手,a代表起始
    int b[105]={0};         //b代表终止
    int c[105]={10000};     //c代表时间
    int d[105]={0};         //d代表赌注
    int _min=0;             //找到最小的时间。
    int sum=0;
    int flag=1;             //判断某一段是否没有选手
    cin>>n>>m;
    for(int i=1;i<=m;i++)
    {
        cin>>a[i]>>b[i]>>c[i]>>d[i];
    }
    for(int i=1;i<=n;i++)           //每一段
    {
        for(int j=1;j<=m;j++)       //每一位选手
        //for(int j=1;i>=a[j]&&i<=b[j]&&j<=m;j++) //这样的判定条件是错误的,当二选手不满足条件时,三四选手不参与到循环
        {
            if(i>=a[j]&&i<=b[j])
            {
                if(c[_min]>c[j]) //c[_min]的起始值必须比所有值都大。
                {
                    _min=j;
                }
                flag=0;
            }
        }
        if(flag)    _min=0;
        sum+=d[_min];
        _min=0;
        flag=1;
    }
    cout<<sum<<endl;
    return 0;
}

内容概要:该研究通过在黑龙江省某示范村进行24小时实地测试,比较了燃煤炉具与自动/手动进料生物质炉具的污染物排放特征。结果显示,生物质炉具相比燃煤炉具显著降低了PM2.5、CO和SO2的排放(自动进料分别降低41.2%、54.3%、40.0%;手动进料降低35.3%、22.1%、20.0%),但NOx排放未降低甚至有所增加。研究还发现,经济性和便利性是影响生物质炉具推广的重要因素。该研究不仅提供了实际排放数据支持,还通过Python代码详细复现了排放特征比较、减排效果计算和结果可视化,进一步探讨了燃料性质、动态排放特征、碳平衡计算以及政策建议。 适合人群:从事环境科学研究的学者、政府环保部门工作人员、能源政策制定者、关注农村能源转型的社会人士。 使用场景及目标:①评估生物质炉具在农村地区的推广潜力;②为政策制定者提供科学依据,优化补贴政策;③帮助研究人员深入了解生物质炉具的排放特征和技术改进方向;④为企业研发更高效的生物质炉具提供参考。 其他说明:该研究通过大量数据分析和模拟,揭示了生物质炉具在实际应用中的优点和挑战,特别是NOx排放增加的问题。研究还提出了多项具体的技术改进方向和政策建议,如优化进料方式、提高热效率、建设本地颗粒厂等,为生物质炉具的广泛推广提供了可行路径。此外,研究还开发了一个智能政策建议生成系统,可以根据不同地区的特征定制化生成政策建议,为农村能源转型提供了有力支持。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值