1055 The World's Richest (25分)

本文介绍了一个算法,用于从全球富豪名单中筛选出特定年龄段内的最富有人群。该算法接收富豪的基本信息,包括姓名、年龄和净资产,并根据一系列查询条件返回结果。每个查询指定最大输出数量和年龄范围,结果按净资产降序、年龄升序和姓名字母顺序排列。

Forbes magazine publishes every year its list of billionaires based on the annual ranking of the world's wealthiest people. Now you are supposed to simulate this job, but concentrate only on the people in a certain range of ages. That is, given the net worths of N people, you must find the M richest people in a given range of their ages.

Input Specification:

Each input file contains one test case. For each case, the first line contains 2 positive integers: N (≤10​5​​) - the total number of people, and K (≤10​3​​) - the number of queries. Then N lines follow, each contains the name (string of no more than 8 characters without space), age (integer in (0, 200]), and the net worth (integer in [−10​6​​,10​6​​]) of a person. Finally there are K lines of queries, each contains three positive integers: M (≤100) - the maximum number of outputs, and [AminAmax] which are the range of ages. All the numbers in a line are separated by a space.

Output Specification:

For each query, first print in a line Case #X: where X is the query number starting from 1. Then output the Mrichest people with their ages in the range [AminAmax]. Each person's information occupies a line, in the format

Name Age Net_Worth

The outputs must be in non-increasing order of the net worths. In case there are equal worths, it must be in non-decreasing order of the ages. If both worths and ages are the same, then the output must be in non-decreasing alphabetical order of the names. It is guaranteed that there is no two persons share all the same of the three pieces of information. In case no one is found, output None.

Sample Input:

12 4
Zoe_Bill 35 2333
Bob_Volk 24 5888
Anny_Cin 95 999999
Williams 30 -22
Cindy 76 76000
Alice 18 88888
Joe_Mike 32 3222
Michael 5 300000
Rosemary 40 5888
Dobby 24 5888
Billy 24 5888
Nobody 5 0
4 15 45
4 30 35
4 5 95
1 45 50

Sample Output:

Case #1:
Alice 18 88888
Billy 24 5888
Bob_Volk 24 5888
Dobby 24 5888
Case #2:
Joe_Mike 32 3222
Zoe_Bill 35 2333
Williams 30 -22
Case #3:
Anny_Cin 95 999999
Michael 5 300000
Alice 18 88888
Cindy 76 76000
Case #4:
None

题意:按给定规则排序,后输出满足某个规则下的前m个数据,若无数据,输出None。

#include<iostream>
#include<vector>
#include<algorithm>
using namespace std;
struct node{

    string name;
    int age;
    int worth;

};
bool cmp(node a, node b){
    if(a.worth != b.worth){
        return a.worth > b.worth;
    }else
    {
        return a.age != b.age ? a.age < b.age : a.name < b.name;
    }
    

}

int main(){
    int n, k;
    cin >> n >> k;   
    vector<node> vec(n);
    for(int i = 0; i < n; i++){
        cin >> vec[i].name;
        scanf("%d %d", &vec[i].age, &vec[i].worth);
    }
    sort(vec.begin(), vec.end(), cmp);
    for(int i = 1; i <= k; i++){
        printf("Case #%d:\n", i);
        int m, min_age, max_age;
        scanf("%d %d %d", &m, &min_age, &max_age);
        int cnt = 0;
        for(int j = 0; j < n; j++){
            if(vec[j].age >= min_age && vec[j].age <= max_age && cnt < m){
                cnt++;
                printf("%s %d %d\n", vec[j].name.c_str(), vec[j].age, vec[j].worth);
            }
            if(cnt == m){
                break;
            }
        }
        if(cnt == 0){
            printf("None\n");
        }
    }

    return 0;
}

 

内容概要:本文介绍了一个基于Matlab的综合能源系统优化调度仿真资源,重点实现了含光热电站、有机朗肯循环(ORC)和电含光热电站、有机有机朗肯循环、P2G的综合能源优化调度(Matlab代码实现)转气(P2G)技术的冷、热、电多能互补系统的优化调度模型。该模型充考虑多种能源形式的协同转换与利用,通过Matlab代码构建系统架构、设定约束条件并求解优化目标,旨在提升综合能源系统的运行效率与经济性,同时兼顾灵活性供需不确定性下的储能优化配置问题。文中还提到了相关仿真技术支持,如YALMIP工具包的应用,适用于复杂能源系统的建模与求解。; 适合人群:具备一定Matlab编程基础和能源系统背景知识的科研人员、研究生及工程技术人员,尤其适合从事综合能源系统、可再生能源利用、电力系统优化等方向的研究者。; 使用场景及目标:①研究含光热、ORC和P2G的多能系统协调调度机制;②开展考虑不确定性的储能优化配置与经济调度仿真;③学习Matlab在能源系统优化中的建模与求解方法,复现高水平论文(如EI期刊)中的算法案例。; 阅读建议:建议读者结合文档提供的网盘资源,下载完整代码和案例文件,按照目录顺序逐步学习,重点关注模型构建逻辑、约束设置与求解器调用方式,并通过修改参数进行仿真实验,加深对综合能源系统优化调度的理解。
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