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Mathematical Modeling for the MCM/ICM Contests Volume 2(MCM/ICM数学建模竞赛 第2卷


作者:
Jay Belanger 王杰 等
定价:
45.00 元
版面字数:
240千字
开本:
16开
装帧形式:
平装
版次:
1
最新版次
印刷时间:
2016年
ISBN:
978-7-04-044965-5
物料号:
44965-00
出版时间:
2016-03-28
读者对象:
学术著作
一级分类:
自然科学
二级分类:
数学与统计
三级分类:
数学应用

本系列丛书是以美国大学生数学建模竞赛(MCM/ICM)赛题为主要研究对象,结合竞赛特等奖的优秀论文,对相关的问题进行解析与研究。本辑针对2015年MCM/ICM竞赛的4个题目:Control Ebola virus outbreak、Search for a missing aircraft lost in the open sea、Manage human capital in organizations以及Create a sustainable world进行了解析与研究。本书由美国资深建模教师编写,由于参赛论文需要用英语书写,同时考虑到不同层次读者的需要,故本书为英文呈现。读者在学习建模方法的同时,可以了解美国建模教师对问题的理解。

本书内容新颖、实用性强,可作为指导学生参加美国大学生数学建模竞赛的主讲教材,也可作为本科生、研究生学习和准备全国大学生、研究生数学建模竞赛的参考书,同时也可供研究相关问题的教师和研究生参考使用。

  • 目录
    • Front Matter
      • 1 Eradicating Ebola
        • 1.1 Problem Description
          • 1.2 Outstanding Winners
            • 1.3 Previous Work
              • 1.3.1 The SIR model
                • 1.3.2 Clustering
                  • 1.3.3 Technique for order of preference by similarity to ideal solution
                  • 1.4 Modeling the Situation
                    • 1.4.1 Approaching the problem
                      • 1.4.2 Assumptions
                        • 1.4.3 Modeling the spread of Ebola
                          • 1.4.4 Amount of medicine
                            • 1.4.5 Delivering the medicine
                              • 1.4.6 Manufacturing the medicine
                                • 1.4.7 Other factors
                                • 1.5 Sensitivity Analysis
                                  • 1.6 Strengths and Weaknesses
                                    • 1.7 Comments
                                      • Exercises
                                        • References
                                        • 2 Searching for A Lost Plane
                                          • 2.1 Problem Description
                                            • 2.2 Outstanding Winners
                                              • 2.3 Previous Work
                                                • 2.3.1 Air France Flight 447
                                                  • 2.3.2 Searching for AF447
                                                    • 2.3.3 Finding AF447
                                                    • 2.4 Modeling the Situation
                                                      • 2.4.1 Approaching the problem
                                                        • 2.4.2 Assumptions
                                                          • 2.4.3 Determining a search region
                                                            • 2.4.4 Determining an initial PDF
                                                              • 2.4.5 Search probabilities
                                                                • 2.4.6 Search strategy
                                                                  • 2.4.7 Search time
                                                                  • 2.5 Sensitivity Analysis
                                                                    • 2.6 Strengths and Weaknesses
                                                                      • 2.7 Comments
                                                                        • Exercises
                                                                          • References
                                                                          • 3 Using Networks to Model Human Capital Within Organizations
                                                                            • 3.1 Problem Description
                                                                              • 3.2 How to Approach the Problem
                                                                                • 3.2.1 Building a network model
                                                                                  • 3.2.2 Dynamic processes
                                                                                    • 3.2.3 Measurements and metrics
                                                                                    • 3.3 Outstanding Winners
                                                                                      • 3.4 Static Modeling of the Human Capital Network
                                                                                        • 3.4.1 Assumptions
                                                                                          • 3.4.2 Approach 1: Rule-driven assignment
                                                                                            • 3.4.3 Approach 2: Multi-layer connected networks
                                                                                              • 3.4.4 Approach 3: Using genetic algorithms to assign people to positions
                                                                                              • 3.5 Dynamic Human Capital Network Modeling
                                                                                                • 3.5.1 Assumptions
                                                                                                  • 3.5.2 Developing attributes for nodes
                                                                                                    • 3.5.3 Modeling churn
                                                                                                      • 3.5.4 Modeling promotion and recruitment
                                                                                                      • 3.6 Metrics and Results
                                                                                                        • 3.7 Sensitivity Analysis
                                                                                                          • 3.8 Strengths and Weaknesses
                                                                                                            • 3.9 Comments
                                                                                                              • Exercises
                                                                                                                • References
                                                                                                                • 4 Sustainable Society
                                                                                                                  • 4.1 Problem Description
                                                                                                                    • 4.2 How to Approach the Problem
                                                                                                                      • 4.3 Outstanding Winners
                                                                                                                        • 4.4 Approach 1: Ecological-Economic Tradeoff Model
                                                                                                                          • 4.4.1 Sustainability model
                                                                                                                            • 4.4.2 A 20-year plan for Zambia
                                                                                                                              • 4.4.3 Evaluating the 20-year plan
                                                                                                                                • 4.4.4 Sensitivity analysis
                                                                                                                                • 4.5 Approach 2: Entropy-GE Matrix Model
                                                                                                                                  • 4.5.1 Sustainability model
                                                                                                                                    • 4.5.2 Forecast model
                                                                                                                                      • 4.5.3 Modified forecast model with control
                                                                                                                                        • 4.5.4 Sustainable development activities
                                                                                                                                          • 4.5.5 Congo 20-year sustainability plan
                                                                                                                                            • 4.5.6 External effects
                                                                                                                                              • 4.5.7 Stability analysis
                                                                                                                                              • 4.6 Comments
                                                                                                                                                • Exercises
                                                                                                                                                  • References
                                                                                                                                                  • 5 Math Modeling in Cutting-Edge Research Problems
                                                                                                                                                    • 5.1 Problem Description
                                                                                                                                                      • 5.2 Problem Formulation
                                                                                                                                                        • 5.3 Modeling of Topic Discovery
                                                                                                                                                          • 5.3.1 The simplest model
                                                                                                                                                            • 5.3.2 A simple model with latent distributions
                                                                                                                                                              • 5.3.3 A mixture model
                                                                                                                                                                • 5.3.4 Latent semantic analysis
                                                                                                                                                                  • 5.3.5 Probabilistic LSA
                                                                                                                                                                    • 5.3.6 Latent Dirichlet Allocation
                                                                                                                                                                    • 5.4 Application of Labeled LDA: News Classifications
                                                                                                                                                                      • 5.4.1 Labeled LDA
                                                                                                                                                                        • 5.4.2 LLDA news classifiers
                                                                                                                                                                          • 5.4.3 Experiments
                                                                                                                                                                          • 5.5 Closing Remarks
                                                                                                                                                                            • Exercises
                                                                                                                                                                              • References
                                                                                                                                                                              • Appendix Dirichlet Distribution
                                                                                                                                                                                • 1 Beta distribution
                                                                                                                                                                                  • 2 Beta is conjugate prior to binomial
                                                                                                                                                                                    • 3 Dirichlet Distribution
                                                                                                                                                                                      • 4 Dirichlet is conjugate prior to multinomial
                                                                                                                                                                                        • Exercises
                                                                                                                                                                                        • Index
                                                                                                                                                                                          • 图书清单

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