COMAP 的建模数学竞赛(MCM +)/跨学科建模竞赛(ICM +)是一个国际性的竞赛,旨在为本科生提供作为团队成员参与和提高他们的建模、解决问题和写作能力的机会。团队应用数学来建模、开发和沟通解决现实问题的方法。
2020-02-13 03:10:55 7.19MB 美赛
1
美赛2015年A题优秀论文,埃博拉病毒的防治。需要参考的同学可以拿去看看
2020-02-10 03:07:14 7.84MB 美赛
1
2019美赛C题数据Year the evidence was received for analysis State in which the evidence was taken into custody County in which the evidence was taken into custody FIPS code representing state FIPS code representing county Combined state and county FIPS codes Name of the substance identified in the analysis County total count of the indicated substance. County total count of all substances identified. State total count of all substances identified.
2020-02-05 03:16:30 4.23MB mcm
1
2000年——2018年美国大学生数学建模竞赛(MCM/ICM)原题整理 *英文 无翻译 *仅题目
2020-02-04 03:11:27 20.28MB 美赛 历年原题
1
2016年美赛论文A题42221论文,O奖模型简单,用一个很好的软件
2020-01-28 03:16:03 1.35MB 73156
1
2016美赛D题O奖论文,请大家看一下!
2020-01-24 03:18:08 2.19MB 英文
1
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
2020-01-24 03:01:21 1.21MB mei  sai
1
这是一份细致描述2017年美赛E题的第四问。使用您的度量标准,将重新设计的智能增长计划中的各个计划列为最有潜力到最小潜力的计划。比较和对比两个城市的举措及其排名。
2020-01-17 03:10:07 18KB 2017美赛E4
1
2016年美赛D题O奖(特等奖)论文。。。。。。。。。。
2020-01-09 03:15:13 1.51MB D题O奖论文
1
1985年-2018年所有美赛题目及翻译,,
2020-01-09 03:13:28 7.22MB 赛题
1