Natural Complexity: A Modeling Handbook (Primers in Complex Systems)
by Paul Charbonneau
Pages: 376 pages
Publisher finelybook 出版社: Princeton University Press (16 May 2017)
Language 语言: English
ISBN-10: 0691176841
ISBN-13: 9780691176840
B01M5K6651
Book Description
This book provides a short,hands-on introduction to the science of complexity using simple computational models of natural complex systems—with models and exercises drawn from physics,chemistry,geology,and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter,readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches,forest fires,earthquakes,chemical reactions,animal flocks,and epidemic diseases.
Natural Complexity provides the necessary topical background,complete source codes in Python,and detailed explanations for all computational models. Ideal for undergraduates,beginning graduate students,and researchers in the physical and natural sciences,this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.
Self-contained and accessible,Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines,so that they can form their own answers to the questions of what natural complexity is and how it arises.
Contents
Chapter 1. Introduction: What Is Complexity?
Chapter 2 Iterated Growth
Chapter 3 Aggregation
Chapter 4 Percolation
Chapter 5 Sandpiles
Chapter 6 Forest Fires
Chapter 7 Traffic Jams
Chapter 8 Earthquakes
Chapter 9 Epidemics
Chapter 10 Flocking
Chapter 11 Pattern Formation
Chapter 12 Epilogue
Appendix A. Basic Elements Of The Python Programming Language
Appendix B. Probability Density Functions
Appendix C Random Numbers And Walks
Appendix D Lattice Computation
本书使用简单的自然复杂系统的计算模型，简要介绍了复杂科学，其中包括物理，化学，地质学和生物学的模型和练习。通过研究模型，并在每一章结尾提出额外的计算机探索，读者可以很快地了解如何在自然现象中出现复杂的结构和行为，如雪崩，森林火灾，地震，化学反应，动物羊群和流行病。
自然复杂性提供必要的专题背景，Python中的完整源代码以及所有计算模型的详细说明。本科生，初级研究生以及物理和自然科学研究人员的理想选择，这本独特的手册不需要高级的数学知识或编程技能，适合于具有预煅烧和高中物理学知识的自学习者。
自我复合和自由的自然复杂性使读者能够识别和量化各种系统所共有的基础结构和动力学模式，并对其进行检验的现象，从而可以对自然复杂程度及其出现的问题形成自己的答案。
目录
第一章简介: 什么是复杂性？
第二章迭代增长
第3章聚合
第四章渗透
第5章砂堆
第六章森林火灾
第七章交通堵塞
第八章地震
第九章流行病学
第10章植绒
第11章图案形成
第12章结语
附录A. Python编程语言的基本元素
概率密度函数
附录C随机数字和步行
附录D格子计算
Princeton University Press Natural Complexity A Modeling Handbook B01M5K6651.pdf:
https://finelybook.com/fs/15081096-481388286-2d21ec
