POJ3522 Slim Span 解题报告【Kruskal求最小生成树+枚举】

2024-03-28 14:48

本文主要是介绍POJ3522 Slim Span 解题报告【Kruskal求最小生成树+枚举】,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

Description
Given an undirected weighted graph G, you should find one of spanning trees specified as follows.
The graph G is an ordered pair (V, E), where V is a set of vertices {v1, v2, …, vn} and E is a set of undirected edges {e1, e2, …, em}. Each edge e ∈ E has its weight w(e).
A spanning tree T is a tree (a connected subgraph without cycles) which connects all the n vertices with n − 1 edges. The slimness of a spanning tree T is defined as the difference between the largest weight and the smallest weight among the n − 1 edges of T.


Figure 5: A graph G and the weights of the edges

For example, a graph G in Figure 5(a) has four vertices {v1, v2, v3, v4} and five undirected edges {e1, e2, e3, e4, e5}. The weights of the edges are w(e1) = 3, w(e2) = 5, w(e3) = 6, w(e4) = 6, w(e5) = 7 as shown in Figure 5(b).


Figure 6: Examples of the spanning trees of G

There are several spanning trees for G. Four of them are depicted in Figure 6(a)~(d). The spanning tree Ta in Figure 6(a) has three edges whose weights are 3, 6 and 7. The largest weight is 7 and the smallest weight is 3 so that the slimness of the tree Ta is 4. The slimnesses of spanning trees Tb, Tc and Td shown in Figure 6(b), (c) and (d) are 3, 2 and 1, respectively. You can easily see the slimness of any other spanning tree is greater than or equal to 1, thus the spanning tree Td in Figure 6(d) is one of the slimmest spanning trees whose slimness is 1.
Your job is to write a program that computes the smallest slimness.
Input
The input consists of multiple datasets, followed by a line containing two zeros separated by a space. Each dataset has the following format.
n m
a1 b1 w1

am bm wm
Every input item in a dataset is a non-negative integer. Items in a line are separated by a space. n is the number of the vertices and m the number of the edges. You can assume 2 ≤ n ≤ 100 and 0 ≤ m ≤ n(n − 1)/2. ak and bk (k = 1, …, m) are positive integers less than or equal to n, which represent the two vertices vak and vbk connected by the kth edge ek. wk is a positive integer less than or equal to 10000, which indicates the weight of ek. You can assume that the graph G = (V, E) is simple, that is, there are no self-loops (that connect the same vertex) nor parallel edges (that are two or more edges whose both ends are the same two vertices).
Output
For each dataset, if the graph has spanning trees, the smallest slimness among them should be printed. Otherwise, −1 should be printed. An output should not contain extra characters.
Sample Input
4 5
1 2 3
1 3 5
1 4 6
2 4 6
3 4 7
4 6
1 2 10
1 3 100
1 4 90
2 3 20
2 4 80
3 4 40
2 1
1 2 1
3 0
3 1
1 2 1
3 3
1 2 2
2 3 5
1 3 6
5 10
1 2 110
1 3 120
1 4 130
1 5 120
2 3 110
2 4 120
2 5 130
3 4 120
3 5 110
4 5 120
5 10
1 2 9384
1 3 887
1 4 2778
1 5 6916
2 3 7794
2 4 8336
2 5 5387
3 4 493
3 5 6650
4 5 1422
5 8
1 2 1
2 3 100
3 4 100
4 5 100
1 5 50
2 5 50
3 5 50
4 1 150
0 0
Sample Output
1
20
0
-1
-1
1
0
1686
50
解题报告
这道题的题意是叫我们求给出的图中的生成树中边权的最值之差的最小值。
我们先将邻接表排一次序,过后用 [low,m] (1<=low<=m)范围里的边构造最小生成树,更新最大值。

#include<cstdio>
#include<cstring>
#include<algorithm>
using namespace std;
const int N=100,M=5000,inf=0xffffff;
int n,m;
int father[N+5],rank[N+5];
bool flag,exist;
struct edge
{int u,v,w;
}ed[M+5];
bool cmp(edge a,edge b)
{return a.w<b.w;
}
int find(int a)
{return father[a]==a?a:father[a]=find(father[a]);
}
void Union(int a,int b)
{a=find(a),b=find(b);if(a==b)return ;if(rank[a]>rank[b])father[b]=a;else{father[a]=b;if(rank[a]==rank[b])rank[a]++;}
}
int kruskal(int low)
{int vmax=-1,vmin=inf,tot=0;for(int i=1;i<=n;i++)father[i]=i;memset(rank,0,sizeof(rank));for(int i=low;i<=m;i++){int u=ed[i].u,v=ed[i].v;if(find(u)!=find(v)){vmax=max(vmax,ed[i].w);vmin=min(vmin,ed[i].w);Union(u,v);++tot;}if(tot==n-1){flag=true;exist=true;break;}}return vmax-vmin;
}
int main()
{while(~scanf("%d%d",&n,&m)){exist=false;int ans=inf;if(n==0&&m==0)break;for(int i=1;i<=m;i++)scanf("%d%d%d",&ed[i].u,&ed[i].v,&ed[i].w);sort(ed+1,ed+1+m,cmp);for(int low=1;low<=m;low++){flag=false;int temp=kruskal(low);if(flag)ans=min(ans,temp);}if(!exist)printf("-1\n");else printf("%d\n",ans);}return 0;
}

这篇关于POJ3522 Slim Span 解题报告【Kruskal求最小生成树+枚举】的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/855903

相关文章

浅析如何使用Swagger生成带权限控制的API文档

《浅析如何使用Swagger生成带权限控制的API文档》当涉及到权限控制时,如何生成既安全又详细的API文档就成了一个关键问题,所以这篇文章小编就来和大家好好聊聊如何用Swagger来生成带有... 目录准备工作配置 Swagger权限控制给 API 加上权限注解查看文档注意事项在咱们的开发工作里,API

Java使用POI-TL和JFreeChart动态生成Word报告

《Java使用POI-TL和JFreeChart动态生成Word报告》本文介绍了使用POI-TL和JFreeChart生成包含动态数据和图表的Word报告的方法,并分享了实际开发中的踩坑经验,通过代码... 目录前言一、需求背景二、方案分析三、 POI-TL + JFreeChart 实现3.1 Maven

MybatisGenerator文件生成不出对应文件的问题

《MybatisGenerator文件生成不出对应文件的问题》本文介绍了使用MybatisGenerator生成文件时遇到的问题及解决方法,主要步骤包括检查目标表是否存在、是否能连接到数据库、配置生成... 目录MyBATisGenerator 文件生成不出对应文件先在项目结构里引入“targetProje

C#实现获得某个枚举的所有名称

《C#实现获得某个枚举的所有名称》这篇文章主要为大家详细介绍了C#如何实现获得某个枚举的所有名称,文中的示例代码讲解详细,具有一定的借鉴价值,有需要的小伙伴可以参考一下... C#中获得某个枚举的所有名称using System;using System.Collections.Generic;usi

Python使用qrcode库实现生成二维码的操作指南

《Python使用qrcode库实现生成二维码的操作指南》二维码是一种广泛使用的二维条码,因其高效的数据存储能力和易于扫描的特点,广泛应用于支付、身份验证、营销推广等领域,Pythonqrcode库是... 目录一、安装 python qrcode 库二、基本使用方法1. 生成简单二维码2. 生成带 Log

Python使用Pandas库将Excel数据叠加生成新DataFrame的操作指南

《Python使用Pandas库将Excel数据叠加生成新DataFrame的操作指南》在日常数据处理工作中,我们经常需要将不同Excel文档中的数据整合到一个新的DataFrame中,以便进行进一步... 目录一、准备工作二、读取Excel文件三、数据叠加四、处理重复数据(可选)五、保存新DataFram

SpringBoot生成和操作PDF的代码详解

《SpringBoot生成和操作PDF的代码详解》本文主要介绍了在SpringBoot项目下,通过代码和操作步骤,详细的介绍了如何操作PDF,希望可以帮助到准备通过JAVA操作PDF的你,项目框架用的... 目录本文简介PDF文件简介代码实现PDF操作基于PDF模板生成,并下载完全基于代码生成,并保存合并P

Java 枚举的常用技巧汇总

《Java枚举的常用技巧汇总》在Java中,枚举类型是一种特殊的数据类型,允许定义一组固定的常量,默认情况下,toString方法返回枚举常量的名称,本文提供了一个完整的代码示例,展示了如何在Jav... 目录一、枚举的基本概念1. 什么是枚举?2. 基本枚举示例3. 枚举的优势二、枚举的高级用法1. 枚举

Rust中的Option枚举快速入门教程

《Rust中的Option枚举快速入门教程》Rust中的Option枚举用于表示可能不存在的值,提供了多种方法来处理这些值,避免了空指针异常,文章介绍了Option的定义、常见方法、使用场景以及注意事... 目录引言Option介绍Option的常见方法Option使用场景场景一:函数返回可能不存在的值场景

详解Java中如何使用JFreeChart生成甘特图

《详解Java中如何使用JFreeChart生成甘特图》甘特图是一种流行的项目管理工具,用于显示项目的进度和任务分配,在Java开发中,JFreeChart是一个强大的开源图表库,能够生成各种类型的图... 目录引言一、JFreeChart简介二、准备工作三、创建甘特图1. 定义数据集2. 创建甘特图3.