奥运会奖牌数据集(Olympic Medals)

数学建模单人赛承诺书我们仔细阅读了数学建模单人赛竞赛规则.我们完全明白，在竞赛开始后参赛队员不能以任何方式（包括电话、电子邮件、网上咨询等）与队外的任何人（包括指导教师）研究、讨论与赛题有关的问题。

我们知道，抄袭别人的成果是违反竞赛规则的, 如果引用别人的成果或其他公开的资料（包括网上查到的资料），必须按照规定的参考文献的表述方式在正文引用处和参考文献中明确列出。

我们郑重承诺，严格遵守竞赛规则，以保证竞赛的公正、公平性。

如有违反竞赛规则的行为，我们将受到严肃处理。

我们的参赛队号为： 22 队员: 孙守泽，孙冉冉，蒋家坤指导教师或指导教师组负责人 (若无可不填)：日期：2013年5月26日2012伦敦奥运会奖牌预测【摘要】本文就2012伦敦奥运会奖牌榜前十名预测这一问题进行探讨。

运用数学方法马尔科夫链来解决该问题。

数学模型，利用马尔科夫链模型，马尔科夫链是描述随机动态过程的一个分支。

它是指从一个时期到下一个时间的状态按照一定的概率去转移，下一个时期的状态只取决于本时期的状态和转移概率。

首先用马尔科夫方法对该问题进行数学分析，构造结构向量，再借助LINGO 软件求出状态转移概率矩阵，利用公式即可求得奖牌数比例的预测值，同时进行结果检验并加入修正项使得结果更加具有可信度。

接着建立多元非线性模型对结果进行优化，最终得到伦敦奥运奖牌榜前十名依次是美国、中国、俄罗斯、澳大利亚、德国、英国、法国、意大利、日本、韩国。

但由于东道主效应，英国极有可能超越俄罗斯占居奖牌榜第三名。

关键字：东道主效应马尔科夫链 LINGO一．问题重述第三十届夏季奥运会已于2012年7月27日在伦敦正式开幕并正如火如荼地举行，奥运会奖牌榜成了大家关心的热点问题。

请查阅资料，并根据以往各国奖牌榜排名情况，以及各国经济发展、人口体质、人口数量、政府政策等各种能影响到奖牌榜的因素，建立数学模型，预测2012伦敦奥运会的奖牌榜前10名。

二．问题分析本文就2012 伦敦奥运会奖牌榜这一热点问题进行分析,用马尔科夫链模型模型来进行分析探讨，从而预测出2012 奥运会奖牌榜前十名。

主题：奥运奖牌题型：柱状图The chart below shows the total number of Olympic medals won by twelve different countries.满分范文：The bar chart compares twelve countries in terms of the overall number of medals that they have won at the Olympic Games.It is clear that the USA is by far the most successful Olympic medal winning nation. It is also noticeable that the figures for gold, silver and bronze medals won by any particular country tend to be fairly similar.The USA has won a total of around 2,300 Olympic medals, including approximately 900 gold medals, 750 silver and 650 bronze. In second place on the all-time medals chart is the Soviet Union, with just over 1,000 medals. Again, the number of gold medals won by this country is slightly higher than the number of silver or bronze medals.Only four other countries - the UK, France, Germany and Italy - have won more than 500 Olympic medals, all with similar proportions of each medal colour. Apart from the USA and the Soviet Union, China is the only other country with a noticeably higher proportion of gold medals (about 200) compared to silver and bronze (about 100 each).。

极为简单的奥运奖牌计数。

呵呵呵今天⽆聊所以刷了⼀波题，突然发现循环中还有⼀道题没有做，于是打开开始刷。

07:奥运奖牌计数总时间限制:1000ms 内存限制:65536kB描述2008年北京奥运会，A国的运动员参与了n天的决赛项⽬(1≤n≤17)。

现在要统计⼀下A国所获得的⾦、银、铜牌数⽬及总奖牌数。

输⼊输⼊n＋1⾏，第1⾏是A国参与决赛项⽬的天数n，其后n⾏，每⼀⾏是该国某⼀天获得的⾦、银、铜牌数⽬，以⼀个空格分开。

输出输出1⾏，包括4个整数，为A国所获得的⾦、银、铜牌总数及总奖牌数，以⼀个空格分开。

样例输⼊31 0 33 1 00 3 0样例输出4 4 3 11看完题⽬可能有些⼤佬已经来开此页了。

我也是⽆聊才来写博客。

⾸先需要定义三个⼀维数组and三个变量⽤来储存总数，别忘了天数n，like this：int j[100],y[100],t[100],n,sum=0,a=0,b=0,c=0;OK定义的任务完成了，接下来开始yy思想：那么说我们⽤三个数组来分别存储读⼊的⾦、银、铜牌的奖牌数，并⽤a，b，c三个变量来存储他们分别的总数，最后⽤sum来存储三种奖牌的总数，代码奉上：cin>>n;for(int i=0;i<n;i++){cin>>j[i]>>y[i]>>t[i];sum+=j[i]+y[i]+t[i];a+=j[i];b+=y[i];c+=t[i];}是不是感觉贼简单？没错就是这样，只要思想清楚并且别犯⼆这题就轻松解决！别忘写输出and return 0；最后献上全部代码：#include<bits/stdc++.h>using namespace std;int j[100],y[100],t[100],n,sum=0,a=0,b=0,c=0;int main(){cin>>n;for(int i=0;i<n;i++){cin>>j[i]>>y[i]>>t[i];sum+=j[i]+y[i]+t[i];a+=j[i];b+=y[i];c+=t[i];}cout<<a<<" "<<b<<" "<<c<<" "<<sum;return 0;}喜欢的点个赞谢谢QAQ。

雅思Task1小作文柱形图范文：奥运奖牌分布The chart below shows the total number of Olympic medals won by twelve different countries.》》》点击查阅：托福考试提分攻略，平均提分5分哦!The bar chart compares twelve countries in terms of the overall number of medals that they have won at the Olympic Games.It is clear that the USA is by far the most successful Olympic medal winning nation. It is also noticeable that the figures for gold, silver and bronze medals won by any particular country tend to be fairly similar.The USA has won a total of around 2,300 Olympic medals, including approximately 900 gold medals, 750 silver and 650 bronze. In second place on the all-time medals chart is the Soviet Union, with just over 1,000 medals. Again, the number of gold medals won by this country is slightly higher than the number of silver or bronze medals.Only four other countries - the UK, France, Germany and Italy - have won more than 500 Olympic medals, all with similar proportions of each medal colour. Apart from the USA and the Soviet Union, China is the only other country with a noticeably higher proportion of gold medals (about 200) compared to silver and bronze (about 100 each).(178 words, band 9)雅思Task1小作文柱形图范文：奥运奖牌分布。

承诺书我们仔细阅读了中国大学生数学建模竞赛的竞赛规则.我们完全明白，在竞赛开始后参赛队员不能以任何方式（包括电话、电子邮件、网上咨询等）与队外的任何人（包括指导教师）研究、讨论与赛题有关的问题。

我们知道，抄袭别人的成果是违反竞赛规则的, 如果引用别人的成果或其他公开的资料（包括网上查到的资料），必须按照规定的参考文献的表述方式在正文引用处和参考文献中明确列出。

我们郑重承诺，严格遵守竞赛规则，以保证竞赛的公正、公平性。

如有违反竞赛规则的行为，我们将受到严肃处理。

我们参赛的题目是：中国奥运会奖牌预测及国家体育实力评估模型我们的参赛报名号为（如果赛区设置报名号的话）：所属学校（请填写完整的全名）：中南大学参赛队员(打印并签名) ：1. 王海棠2. 任小梅3. 任永志指导教师或指导教师组负责人(打印并签名)：秦宣云日期： 2008 年 8 月 6日赛区评阅编号（由赛区组委会评阅前进行编号）：编号专用页赛区评阅编号（由赛区组委会评阅前进行编号）：全国统一编号（由赛区组委会送交全国前编号）：全国评阅编号（由全国组委会评阅前进行编号）：中国奥运会奖牌预测及国家体育实力评估模型摘要本文以近五届奥运会各参赛国获得的奖牌数为研究对象，由于影响奖牌数的因素不完全清楚其规律，因而采用灰色系统预测方法对第29届即2008年中国在奥运会奖牌总数进行了预测；并且建立层次分析模型，对衡量国家的体育实力的各个因素进行了分析，并实现模型的求解。

首先对第29届奥运会中国的获奖牌总数进行了预测。

考虑到第23届奥运会奖牌数据的不真实性，故本文以第24届至第28届各参赛国的奖牌数为基础，由于历届奥运会奖牌属于时间序列数据，其间隔时间固定（4年），原始数据的数列较少，波动较大，其分布难以看出规律，因此建立了灰色预测GM（1，1）模型对其进行预测。

模型建立过程大致分为这几个步骤：1、.根据文章所给的题目建立一个原时间序列，通过一次累加形成新的数列即生成列2. 级比检验、建模可行性判断灰色预测GM（1，1）模型的可行性。

冬奥会奖牌榜英文介绍作文1. Norway is currently leading the medal table with a total of 11 medals, including four golds, three silvers,and four bronzes. The Norwegian athletes have been dominating in events such as cross-country skiing, biathlon, and ski jumping, showcasing their prowess in winter sports.2. Germany is in second place with a total of nine medals, including four golds, two silvers, and three bronzes. The German athletes have been performing well in events such as luge, bobsleigh, and speed skating, demonstrating their versatility and skill in various winter sports.3. The United States is currently in third place with a total of eight medals, including two golds, three silvers, and three bronzes. The American athletes have beenexcelling in events such as snowboarding, freestyle skiing, and figure skating, showcasing their creativity and athleticism.4. Canada is in fourth place with a total of seven medals, including two golds, four silvers, and one bronze. The Canadian athletes have been performing well in events such as ice hockey, curling, and speed skating, demonstrating their strength and teamwork.5. Sweden is currently in fifth place with a total of six medals, including one gold, four silvers, and one bronze. The Swedish athletes have been excelling in events such as cross-country skiing, biathlon, and ice hockey, showcasing their endurance and skill.6. Switzerland is in sixth place with a total of five medals, including two golds, one silver, and two bronzes. The Swiss athletes have been performing well in events such as alpine skiing, ski jumping, and snowboarding, demonstrating their precision and technique.7. China is currently in seventh place with a total of four medals, including one gold, one silver, and two bronzes. The Chinese athletes have been excelling in eventssuch as short track speed skating, freestyle skiing, and figure skating, showcasing their agility and grace.8. France is in eighth place with a total of three medals, including one gold, one silver, and one bronze. The French athletes have been performing well in events such as biathlon, snowboarding, and freestyle skiing, demonstrating their versatility and determination.9. Austria is currently in ninth place with a total of two medals, including one gold and one bronze. The Austrian athletes have been excelling in events such as alpineskiing and ski jumping, showcasing their strength and technique.10. Italy is in tenth place with a total of one silver medal. The Italian athletes have been performing well in events such as short track speed skating and luge, demonstrating their speed and precision.。