美赛论文2018年O奖，祝大家好运~加油加油加油

美赛2018年评委点评的中文翻译版和英文原版两个pd文件，个人认为参考价值大于优秀论文。 例： This problem required teams to develop several components—current profile models, historical profile evolution and comparisons across states,determination of a “best” state, and energy forecast models—to suggest policy recommendations. Overall, judges valued well-written papers that carefully followed the contest directions. They highly valued papers that presented a cohesive narrative, where each step of the modeling and analysis process clearly built upon previous modeling/analysis steps. 中文翻译 这个问题要求团队开发几个组件，包括当前的概要模型，历史概要的演变和跨州的比较，确定“最佳”状态以及能源预测模型，以提出政策建议。 总体而言，评委们对精心撰写并遵循比赛指导的论文给予了高度评价。 他们高度评价发表了凝聚力叙事的论文，其中建模和分析过程的每个步骤都清楚地建立在先前的建模/分析步骤之上。

2018年美赛数学建模题目2018年美赛数学建模题目2018年美赛数学建模题目

2018年美赛题目：有A B C D E F 题。

2018年美赛B题 问题B：多少种语言？ 附有5篇优秀O奖论文 包括原题以及原题的翻译 背景：目前地球上约有6,900种语言。世界上大约一半的人口声称以下十种语言中的一种（按大 多数发言者的顺序）作为母语：普通话（包括标准中文），西班牙语，英语，印地语，阿拉伯 语，孟加拉语，葡萄牙语，俄语，旁遮普语和日语。然而，世界上大多数人口也使用第二语言。 在考虑特定语言（母语使用者加上第二或第三语言等语言发言人）的发言人总数时，语言及其 顺序将从提供的母语列表中更改。由于各种影响，语言的发言人总数可能会随着时间的推移而 增加或减少，包括但不限于政府在一个国家使用和/或推广的语言，语言用于学校，社会压力， 文化群体的移民和同化，以及与说其他语言的国家的移民和移民。

2018年美赛的题目和C题原始数据 ，是美赛学习的不错资源哦

Bad climate change may greatly increase the fragility of the country. How to evaluate the impact of climate change and mitigate the impact of climate change has become an urgent problem. With regard to task one, a data envelopment analysis (DEA) model is established to get the country's fragility. First of all, we selected 4 climate factors as input indicators and 5 output indicators. Then, we use the entropy method to determine the weight and then the national vulnerability is divided. At the same time, we get the conclusion that temperature affects GDP and the times of armed conflict directly and affects the fragility indirectly. In view of task two, we choose Somalia as an object of study. First, all the indexes are divided into 5 levels by the method of cluster analysis. Second, we select 10 countries including Somalia, to solve the decision unit matrix. Then, using the model of the problem one, it is found that the increase in temperature and rainfall will cause the national vulnerability to rise and decrease, respectively. Finally, we assign 4 climate indicators to 0 of the decision units, and draw the conclusion that national vulnerability will be reduced without the impact of climate factors. When it comes to task three, we use the rough set theory to reduce the output index to the number of armed conflicts. Then, we use the BP neural network model to predict the conclusion: There is a significant increase in fragility in cases of much more armed conflict and abnormal temperature. When the average annual armed conflict is certain, the national vulnerability index will face an increasing turning point at the temperature of 10.01 and the rainfall of 1823mm. As to task four, three policies on energy reduction and emission reduction issued by the government have been selected, and a model of carbon cycle is established. Taking China as an example, we calculate the extent of the change of the average temperature by reducing the carbon dioxide emiss

其中包括2018_MCM_ProblmomA和B和C，并且包含C题所含数据excel表格，以及2018ICM__Problem_D和E和F。

2018年美赛试题及O奖论文，其中A题5篇，B题7篇，C题6题等等

参加美赛的同学可以好好学习下，总共32篇，6种题型都有,A题5篇，B题5篇，C题5篇，D题6篇，E题7篇，F题4篇，自己花钱购买，还有的是自己整理