Python模拟电动力学教程（True EPUB）

English | 2024 | ISBN: 9781003397496 | 358 pages | True EPUB | 5.74 MB

This book provides an accessible introduction to intermediate-level electrodynamics with computa- tional approaches to complement a traditional mathematical treatment of the subject. It covers key topics in electrodynamics, such as electromagnetic fields, forces, potentials, and waves as well as Special Theory of Relativity.

Through intuition-building examples and visualizations in the Python programming language, it helps readers to develop technical computing skills in numerical and symbolic calculations, modeling and simulations, and visualizations. Python is a highly readable and practical programming language, making this book appropriate for students without extensive programming experience.

This book can serve as an electrodynamics textbook for undergraduate physics and engineering students in their second or third years, who are studying intermediate- or advanced-level electrodynamics and who want to learn techniques for scientific computing at the same time. This book will also appeal to computer science students who want to see how their computer programming skills may be applied to science, particularly to physics, without needing too much background physics knowledge.

Key features • Major concepts in classical electrodynamics are introduced cohesively through computational and mathematical treatments. • Computational examples in Python programming language guide students on how to simulate and visualize electrodynamic principles and phenomena for themselves.

Taejoon Kouh is a Professor of Nano and Electronic Physics at Kookmin University, Republic of Korea. He earned his B.A. in physics from Boston University and Sc.M. and Ph.D. degrees in physics from Brown University. After his study in Providence, RI, he returned to Boston, MA, and worked as a postdoctoral research associate in the Department of Aerospace and Mechanical Engineering at Boston University. He is a full faculty member in the Department of Nano and Electronic Physics at Kookmin University in Seoul, Korea, teaching and supervising undergraduate and graduate students. His current research involves the dynamics of nanoelectromechanical systems and the development of fast and reliable transduction methods and innovative applications based on tiny motion.

Minjoon Kouh is a program scientist for a philanthropic initiative. He was a Professor of Physics and Neuroscience at Drew University, USA, where he taught more than 30 distinct types of courses. He holds Ph.D. and B.S. degrees in physics from MIT and an M.A. from UC Berkeley. He completed a postdoctoral research fellowship at the Salk Institute for Biological Studies in La Jolla, CA. His research includes computational modeling of the primate visual cortex, information-theoretic analysis of neural responses, machine learning, and pedagogical innovations in undergraduate science education.

英文| 2024 |国际标准图书编号：9781003397496 | 358页|真正的EPUB | 5.74 MB 这本书为中级电动力学提供了一个易于理解的介绍，并采用计算方法来补充该学科的传统数学处理。它涵盖了电动力学中的关键主题，如电磁场、力、势和波，以及狭义相对论。 通过用Python编程语言直观地构建示例和可视化，它帮助读者培养数值和符号计算、建模和模拟以及可视化方面的技术计算技能。Python是一种高度可读和实用的编程语言，这本书适合没有丰富编程经验的学生。 这本书可以作为二年级或三年级物理和工程本科生的电动力学教科书，他们正在学习中级或高级电动力学，并希望同时学习科学计算技术。这本书也将吸引计算机科学专业的学生，他们想看看他们的计算机编程技能如何应用于科学，特别是物理，而不需要太多的背景物理知识。 主要特征•经典电动力学中的主要概念通过计算和数学处理连贯地引入。•Python编程语言中的计算示例指导学生如何自己模拟和可视化电动力学原理和现象。 Taejoon Kouh是韩国国民大学纳米与电子物理学教授。他拥有波士顿大学物理学学士学位和布朗大学物理学理学硕士和博士学位。在罗德岛州普罗维登斯学习后，他回到马萨诸塞州波士顿，在波士顿大学航空航天与机械工程系担任博士后研究员。他是韩国首尔国民大学纳米与电子物理系的正式教员，教授和指导本科生和研究生。他目前的研究涉及纳米机电系统的动力学，以及基于微小运动的快速可靠的转导方法和创新应用的发展。 Minjoon Kouh是一个慈善项目的项目科学家。他是美国德鲁大学的物理学和神经科学教授，教授30多种不同类型的课程。他拥有麻省理工学院物理学博士和学士学位，以及加州大学伯克利分校的硕士学位。他在加利福尼亚州拉霍亚的索尔克生物研究所完成了博士后研究。他的研究包括灵长类视觉皮层的计算建模、神经反应的信息论分析、机器学习和本科科学教育中的教学创新。

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