图书信息
图书目录
MCM/ICM数学建模竞赛 第3卷
暂无简介
作者：
Jay Belanger等
定价：
59.00元
出版时间：
2018-01-26
ISBN：
978-7-04-049121-0
物料号：
49121-00
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：
通用
重点项目：
暂无
版面字数：
310.000千字
开本：
16开
全书页数：
暂无
装帧形式：
平装
- 前辅文
- 1 Writing for Winning
- Jie Wang
- 1.1 Paper Evaluations
- 1.2 Tell A Good Story
- 1.3 Tell the Story Well
- 1.4 Sensitivity Analysis Is a Must
- 1.5 Write Well
- Exercises
- References
- 2 A Hot Bath
- Jay Belanger
- 2.1 Problem Description
- 2.2 Outstanding Winners
- 2.3 Previous Work
- 2.3.1 Classic formulas
- 2.3.2 Bathtub measurements
- 2.3.3 Previous work on water cooling
- 2.4 Approaching the Problem
- 2.5 Models
- 2.5.1 Assumptions and justifications
- 2.5.2 Functions and parameters
- 2.5.3 Determining the heat loss
- 2.5.4 Preserving heat
- 2.5.5 Heat dispersal
- 2.5.6 Answering the main question
- 2.5.7 Other questions
- 2.5.8 Results
- 2.6 Sensitivity Analysis
- 2.7 Strengths and Weaknesses
- 2.7.1 Strengths
- 2.7.2 Weaknesses
- 2.8 Comments
- Exercises
- References
- 3 Space Junk
- Jay Belanger
- 3.1 Problem Description
- 3.2 Outstanding Winners
- 3.3 Previous Work
- 3.3.1 Kessler's work
- 3.3.2 Debris removal methods
- 3.3.3 Political obstacles
- 3.3.4 Business opportunities
- 3.4 Approaching the Problem
- 3.5 A Continuous Approach
- 3.5.1 How to approach the problem
- 3.5.2 Assumptions and justifications
- 3.5.3 Modeling details
- 3.5.4 Results
- 3.6 A Probabilistic Approach
- 3.6.1 How to approach the problem
- 3.6.2 Assumptions and justifications
- 3.6.3 Modeling details
- 3.6.4 Results
- 3.7 Sensitivity Analysis
- 3.8 Strengths and Weaknesses
- 3.8.1 Strengths
- 3.8.2 Weaknesses
- 3.9 Comments
- Exercises
- References
- 4 The Goodgrant Challenge
- Robert E. Burks, Rodney X. Sturdivant
- 4.1 Problem Description
- 4.2 Outstanding Winners
- 4.3 Previous Work
- 4.3.1 Bill and Melinda Gates Foundation
- 4.3.2 Lumina Foundation
- 4.3.3 Principal component analysis
- 4.3.4 Analytic hierarchy process
- 4.4 Modeling Approach
- 4.4.1 Thinking about the problem
- 4.4.2 Assumptions
- 4.4.3 Data analytics
- 4.4.4 Selecting metrics of success
- 4.4.5 Return on investment
- 4.5 Modeling Approach
- 4.6 Sensitivity Analysis
- 4.7 Strengths and Weaknesses
- 4.7.1 Strengths
- 4.7.2 Weaknesses
- 4.8 Comments
- Exercises
- References
- 5 Measuring the Evolution and Influence in Society's Information Networks
- Jessica Libertini, Ralucca Gera
- 5.1 Problem Description
- 5.2 Outstanding Winners
- 5.3 Approaching the Problem
- 5.4 Diffusion Networks
- 5.4.1 Basic assumptions and justification
- 5.4.2 Defining ``news''
- 5.4.3 Previous work
- 5.4.4 Results
- 5.4.5 Exploring the future of communication
- 5.4.6 Sensitivity analysis
- 5.4.7 Conclusions, strengths, weaknesses, and future work
- 5.5 Modeling Communication Using Disease Models
- 5.5.1 The information circulation network
- 5.5.2 The news filter model
- 5.5.3 Testing and using the NF model
- 5.5.4 The information circulation network prediction model
- 5.5.5 The public interest and information network interaction model
- 5.5.6 Sensitivity analysis
- 5.5.7 Strengths and weaknesses
- 5.6 Comments
- Exercises
- References
- 6 Are We Heading Towards A Thirsty Planet?
- Amanda Beecher, Amy Richmond
- 6.1 Problem Description
- 6.2 Outstanding Winners
- 6.3 Previous Work
- 6.4 A Three-pronged Interdisciplinary Modeling Approach
- 6.4.1 Approach to the problem
- 6.4.2 Case study: the water problem in Haiti
- 6.4.3 Assumptions and justifications
- 6.4.4 System-network model
- 6.4.5 Algorithmic model
- 6.4.6 Agent-based network model
- 6.4.7 Intervention plan
- 6.4.8 Sensitivity analysis
- 6.4.9 Strengths and weaknesses
- 6.5 A Flow Model based on Time-Constrained Water Use
- 6.5.1 Model development
- 6.5.2 Case study: water scarcity in Egypt
- 6.5.3 Model adaption
- 6.5.4 Results
- 6.5.5 Intervention
- 6.6 Comments
- Exercises
- References
- 7 Modeling Refugee Immigration Policies
- Evelyn Panangkou, Yulia Tyshchuck, Christian Nattiel, Don Stanley Dalisay, Kate Coronges
- 7.1 Current Refugee Problems
- 7.2 Problem Description
- 7.3 Outstanding Winners
- 7.4 How to Approach the Problem
- 7.5 Empirical Policy Research
- 7.6 Identify Parameters and Develop Metrics
- 7.7 Modeling Approaches to Policy Problem
- 7.7.1 Assumptions
- 7.7.2 Static modeling approach
- 7.7.3 Dynamical modeling approaches
- 7.8 Sensitivity Analysis
- 7.8.1 Scalability
- 7.8.2 Robustness
- 7.8.3 Uncertainty
- 7.9 Policy Recommendations
- 7.10 Strengths and Weaknesses
- 7.11 Judges' Comments by Task
- Exercises
- References
- 8 Complex Event and Pattern Models in Sequence Data Processing
- Tingjian Ge, Yan Li, Cindy Chen
- 8.1 Introduction and Problem Description
- 8.1.1 Windowed subsequence matching
- 8.1.2 Extended regular expressions
- 8.1.3 Event patterns with graph structure
- 8.2 Formal Definition of Pattern Models
- 8.2.1 Windowed subsequence
- 8.2.2 Extended regular expressions
- 8.2.3 Event pattern with graph structure
- 8.3 Error Models
- 8.4 Matching Algorithms
- 8.4.1 Algorithms for windowed subsequence matching
- 8.4.2 Algorithms for extended regular expression matching
- 8.4.3 Algorithms for event pattern with graph structure
- Exercises
- References
- Index
