POJ 2395--Out of Hay

本文探讨了一种算法问题,即求解最小生成树中最大的边长。通过使用优先队列和并查集的数据结构,该问题可以高效地解决。文章提供了一个完整的C++实现示例,并解释了如何最小化在农场间旅行所需的水容量。

题目:

Description

The cows have run out of hay, a horrible event that must be remedied immediately. Bessie intends to visit the other farms to survey their hay situation. There are N (2 <= N <= 2,000) farms (numbered 1..N); Bessie starts at Farm 1. She'll traverse some or all of the M (1 <= M <= 10,000) two-way roads whose length does not exceed 1,000,000,000 that connect the farms. Some farms may be multiply connected with different length roads. All farms are connected one way or another to Farm 1.

Bessie is trying to decide how large a waterskin she will need. She knows that she needs one ounce of water for each unit of length of a road. Since she can get more water at each farm, she's only concerned about the length of the longest road. Of course, she plans her route between farms such that she minimizes the amount of water she must carry.

Help Bessie know the largest amount of water she will ever have to carry: what is the length of longest road she'll have to travel between any two farms, presuming she chooses routes that minimize that number? This means, of course, that she might backtrack over a road in order to minimize the length of the longest road she'll have to traverse.

Input

* Line 1: Two space-separated integers, N and M.

* Lines 2..1+M: Line i+1 contains three space-separated integers, A_i, B_i, and L_i, describing a road from A_i to B_i of length L_i.

Output

* Line 1: A single integer that is the length of the longest road required to be traversed.

Sample Input

3 3
1 2 23
2 3 1000
1 3 43

Sample Output

43

Hint

OUTPUT DETAILS:

In order to reach farm 2, Bessie travels along a road of length 23. To reach farm 3, Bessie travels along a road of length 43. With capacity 43, she can travel along these roads provided that she refills her tank to maximum capacity before she starts down a road.

题意:求最小生成树中的最大值。


实现:

#include <stdio.h>
#include <string.h>
#include <math.h>
#include <queue>
#include <vector>
#include <algorithm>
#include <iostream>
using namespace std;

const int MAX = 20005;
int n, m;

int p[MAX];

int _find(int x) {
    return p[x] = (p[x] == x ? x : _find(p[x]));
}

struct node {
    int u, v, e;
    bool friend operator < (node n1, node n2) {
        return n1.e > n2.e;
    }
};

int main() {
    while(scanf("%d%d", &n, &m) != EOF) {
        for (int i = 1; i <= n; i++) {
            p[i] = i;
        }
        priority_queue <node> q;
        int u, v, value;
        for (int i = 0; i < m; i++) {
            scanf("%d%d%d", &u, &v, &value);
            node head;
            head.u = u;
            head.v = v;
            head.e = value;
            q.push(head);
        }

        int ans = -1;

        while (!q.empty()) {
            node tt = q.top();
            q.pop();
            int x, y;
            x = _find(tt.u);
            y = _find(tt.v);
            if (x != y) {
                p[y] = x;
                if (ans < tt.e)
                    ans = tt.e;
            }
        }
        printf("%d\n", ans);
     }

    return 0;
}


【顶级EI完整复现】【DRCC】考虑N-1准则的分布鲁棒机会约束低碳经济调度(Matlab代码实现)内容概要:本文介绍了名为《【顶级EI完整复现】【DRCC】考虑N-1准则的分布鲁棒机会约束低碳经济调度(Matlab代码实现)》的技术资源,聚焦于电力系统中低碳经济调度问题,结合N-1安全准则与分布鲁棒机会约束(DRCC)方法,提升调度模型在不确定性环境下的鲁棒性和可行性。该资源提供了完整的Matlab代码实现,涵盖建模、优化求解及仿真分析全过程,适用于复杂电力系统调度场景的科研复现与算法验证。文中还列举了大量相关领域的研究主题与代码资源,涉及智能优化算法、机器学习、电力系统管理、路径规划等多个方向,展示了广泛的科研应用支持能力。; 适合人群:具备一定电力系统、优化理论和Matlab编程基础的研究生、科研人员及从事能源调度、智能电网相关工作的工程师。; 使用场景及目标:①复现高水平期刊(如EI/SCI)关于低碳经济调度的研究成果;②深入理解N-1安全约束与分布鲁棒优化在电力调度中的建模方法;③开展含新能源接入的电力系统不确定性优化研究;④为科研项目、论文撰写或工程应用提供可运行的算法原型和技术支撑。; 阅读建议:建议读者结合文档提供的网盘资源,下载完整代码与案例数据,按照目录顺序逐步学习,并重点理解DRCC建模思想与Matlab/YALMIP/CPLEX等工具的集成使用方式,同时可参考文中列出的同类研究方向拓展研究思路。
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