LA3266 - Tian Ji -- The Horse Racing

本文介绍了一个著名的中国历史故事——田忌赛马,并通过现代算法视角重新审视了这个问题。提出了如何利用匹配算法来确定最优的比赛策略,确保田忌能够在与国王的赛马比赛中获得尽可能多的胜利。

Here is a famous story in Chinese history.

That was about 2300 years ago. General Tian Ji was a high official in the country Qi. He likes to play horse racing with the king and others.

Both of Tian and the king have three horses in different classes, namely, regular, plus, and super. The rule is to have three rounds in a match; each of the horses must be used in one round. The winner of a single round takes two hundred silver dollars from the loser.

Being the most powerful man in the country, the king has so nice horses that in each class his horse is better than Tian's. As a result, each time the king takes six hundred silver dollars from Tian.

Tian Ji was not happy about that, until he met Sun Bin, one of the most famous generals in Chinese history. Using a little trick due to Sun, Tian Ji brought home two hundred silver dollars and such a grace in the next match.

It was a rather simple trick. Using his regular class horse race against the super class from the king, they will certainly lose that round. But then his plus beat the king's regular, and his super beat the king's plus. What a simple trick. And how do you think of Tian Ji, the high ranked official in China?

\epsfbox{p3266.eps}

Were Tian Ji lives in nowadays, he will certainly laugh at himself. Even more, were he sitting in the ACM contest right now, he may discover that the horse racing problem can be simply viewed as finding the maximum matching in a bipartite graph. Draw Tian's horses on one side, and the king's horses on the other. Whenever one of Tian's horses can beat one from the king, we draw an edge between them, meaning we wish to establish this pair. Then, the problem of winning as many rounds as possible is just to find the maximum matching in this graph. If there are ties, the problem becomes more complicated, he needs to assign weights 0, 1, or -1 to all the possible edges, and find a maximum weighted perfect matching...

However, the horse racing problem is a very special case of bipartite matching. The graph is decided by the speed of the horses -- a vertex of higher speed always beat a vertex of lower speed. In this case, the weighted bipartite matching algorithm is a too advanced tool to deal with the problem.

In this problem, you are asked to write a program to solve this special case of matching problem.

Input 

The input consists of up to 50 test cases. Each case starts with a positive integer n ( n$ \le$1000) on the first line, which is the number of horses on each side. The next n integers on the second line are the speeds of Tian's horses. Then the next n integers on the third line are the speeds of the king's horses. The input ends with a line that has a single `0' after the last test case.

Output 

For each input case, output a line containing a single number, which is the maximum money Tian Ji will get, in silver dollars.

Sample Input 

3 
92 83 71  
95 87 74 
2 
20 20 
20 20 
2 
20 19 
22 18 
0

Sample Output 

200 
0 

0

/*
1.田忌最快的马如果比齐王快,就派遣这一匹
2.田忌最快的马如果比齐王慢,用最慢的马去跟齐王比
3.相等情况,要看最慢马的大小
        如果田忌最慢的马要快,就先比慢的马,否则用慢的对上齐王快的
*/
#include <iostream>
#include <stdio.h>
#include <cstring>
#include <algorithm>
#include <queue>
#include <map>
#include <cmath>
using namespace std;
typedef long long ll;
const int MAXN = 1010;
int tian[MAXN], qi[MAXN];
int main()
{
    int n;
    while(scanf("%d",&n)!=EOF)
    {
        if(n==0)break;
         int i, j;
         for(i=0; i<n; i++)
         {
             scanf("%d",&tian[i]);
         }
         for(i=0; i<n; i++)
         {
             scanf("%d",&qi[i]);
         }
         sort(tian,tian+n);
         sort(qi,qi+n);
         int ans = 0;
         int tian0 = 0, tian1 = n-1, qi0 = 0, qi1 = n-1;
         while(n--)
         {
             //最快的马,田忌的快
             if(qi[qi1] < tian[tian1])
             {
                 qi1--;
                 tian1--;
                 ans++;
             }else if(qi[qi1] > tian[tian1])//最快的马,田忌的慢
             {
                 qi1--;
                 tian0++;
                 ans--;
             }else{
                 if(qi[qi0] < tian[tian0])//最慢的比齐王快,先比最慢的
                {
                    tian0++;
                    qi0++;
                    ans++;
                }else{//最慢的相等就,用最慢的对齐王快的
                    if(tian[tian0] < qi[qi1])ans--;
                    qi1--;
                    tian0++;
                }
             }
         }
         printf("%d\n",ans*200 );
    }
    return 0;
}


标题基于Python的自主学习系统后端设计与实现AI更换标题第1章引言介绍自主学习系统的研究背景、意义、现状以及本文的研究方法和创新点。1.1研究背景与意义阐述自主学习系统在教育技术领域的重要性和应用价值。1.2国内外研究现状分析国内外在自主学习系统后端技术方面的研究进展。1.3研究方法与创新点概述本文采用Python技术栈的设计方法和系统创新点。第2章相关理论与技术总结自主学习系统后端开发的相关理论和技术基础。2.1自主学习系统理论阐述自主学习系统的定义、特征和理论基础。2.2Python后端技术栈介绍DjangoFlask等Python后端框架及其适用场景。2.3数据库技术讨论关系型和非关系型数据库在系统中的应用方案。第3章系统设计与实现详细介绍自主学习系统后端的设计方案和实现过程。3.1系统架构设计提出基于微服务的系统架构设计方案。3.2核心模块设计详细说明用户管理、学习资源管理、进度跟踪等核心模块设计。3.3关键技术实现阐述个性化推荐算法、学习行为分析等关键技术的实现。第4章系统测试与评估对系统进行功能测试和性能评估。4.1测试环境与方法介绍测试环境配置和采用的测试方法。4.2功能测试结果展示各功能模块的测试结果和问题修复情况。4.3性能评估分析分析系统在高并发等场景下的性能表现。第5章结论与展望总结研究成果并提出未来改进方向。5.1研究结论概括系统设计的主要成果和技术创新。5.2未来展望指出系统局限性并提出后续优化方向。
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