2016年美赛C题数据,当年在官网下载的原始数据
2021-01-31 15:37:47 5.34MB 2016年美赛C题数据
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2020年美赛C题O奖论文(含6篇)
2021-01-28 04:29:04 19.2MB 美国大学生数学建模竞赛 数据挖掘
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包含:1985-2020年美赛真题和特等奖优秀论文
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2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题2019美赛E题
2021-01-27 20:24:00 117.38MB 2019美赛E题
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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。
2020-03-07 03:10:32 4.44MB 美赛
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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。
2020-02-24 03:10:18 8.26MB 美赛
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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
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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
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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
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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
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