Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python
暫譯: 經典力學：以 Mathematica 和 Python 的範例進行計算方法探討
Kulp, Christopher W., Pagonis, Vasilis
相關主題
商品描述
Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation.
Full of pedagogy, it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics.
It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics.
Features:
- Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physics
- Numerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were used
- Online resources containing specific example codes to help students learn computational methods and write their own algorithms
商品描述(中文翻譯)
《經典力學：使用 Python 和 Mathematica 的計算方法與範例》提供了一個獨特且現代的經典力學介紹，重點在於計算方法。除了清晰且徹底地涵蓋關鍵主題外，這本教科書還包含了整合的計算指導和處理。
本書充滿了教學法，每一章的內容中都包含了分析性和計算性範例問題。這些範例問題教導讀者分析方法，以及如何使用計算代數系統和計算機程式設計來解決經典力學中的問題。章末問題讓學生能夠在有無使用計算機的情況下磨練他們的問題解決技能。本書中所呈現的方法，學生在解決其他領域的問題時（無論是在物理學內部或外部）都可以使用。
這是一本理想的教科書，適合學習經典力學的物理學、數學和工程學的本科生。
**特色：**
- 讓讀者了解經典力學的「全貌」以及計算在物理問題解決中的重要性
- 使用分析性和計算性方法的眾多範例問題，以及對於特定技術使用的解釋
- 在線資源包含特定範例代碼，幫助學生學習計算方法並編寫自己的演算法
作者簡介
Dr. Christopher W. Kulp received his PhD in Physics from the College of William and Mary in 2004 and is currently a Professor of Physics at Lycoming College, where he teaches physics at all levels. Chris has a life-long passion for teaching and, in addition to teaching at several colleges and universities, he has also taught martial arts, high school science, science seminars for K-12 teachers, and a summer kindergarten math program.
Dr. Kulp's research interests focus on the fields of nonlinear dynamics, nonlinear time series analysis, and complex systems. He has published more than 20 publications in peer-reviewed journals and conference proceedings and has written two book chapters. More than 10 of his publications have undergraduate co-authors. Much of his work focuses on distinguishing between chaotic and stochastic behavior in time series data. He maintains an active undergraduate research group at Lycoming College, having mentored nearly 50 undergraduate students during his career so far. His current research interests focus on using machine learning to analyze time series and model complex systems.
When he is not writing code to solve physics problems, Dr. Kulp can be found reading, playing guitar, and writing music.
Dr Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, where he taught undergraduate courses and did research for 36 years. He frequently collaborates with researchers around the world and with his students in his areas of interest, including solid state physics, and specifically in thermally and optically stimulated luminescence (TL and OSL). This is an area of research with applications in archaeological and geological dating, and also in the field of radiation dosimetry. He has taught courses in classical and quantum mechanics, analog and digital electronics and mathematical physics, as well as numerous general science courses.
Dr. Pagonis' resume lists more than 140 peer-reviewed publications in international journals. He has been the recipient of several grants, including awards from the Council on Undergraduate Research and National Science Foundation. He is also the inaugural recipient of the John Desmond Kopp Professorship in the Sciences at McDaniel College.
He is the co-author of three books in the field of luminescence dosimetry, "Practical and Numerical Exercises in Thermoluminescence," published by Springer in 2006, "Thermally and Optically Stimulated Luminescence: A Simulation Approach," published by Wiley in 2011, and "Advances in Physics and Applications of Optically and Thermally Stimulated Luminescence" published by World Scientific in 2019.
作者簡介(中文翻譯)
克里斯多福·W·庫爾博士於2004年在威廉與瑪麗學院獲得物理學博士學位，目前是萊科明學院的物理學教授，教授各級物理課程。克里斯對教學充滿熱情，除了在多所大學教授外，他還教授武術、高中科學、K-12教師的科學研討會以及夏季幼稚園數學課程。
庫爾博士的研究興趣集中在非線性動力學、非線性時間序列分析和複雜系統等領域。他在同行評審的期刊和會議論文集中發表了超過20篇論文，並撰寫了兩個書章。他的超過10篇出版物有本科生共同作者。他的許多工作專注於區分時間序列數據中的混沌行為和隨機行為。他在萊科明學院維持一個活躍的本科生研究小組，迄今為止指導了近50名本科生。他目前的研究興趣集中在使用機器學習分析時間序列和建模複雜系統。
當他不在編寫代碼解決物理問題時，庫爾博士會閱讀、彈吉他和創作音樂。
瓦西里斯·帕戈尼斯博士是馬里蘭州麥克丹尼爾學院的名譽物理學教授，在該校教授本科課程並從事研究36年。他經常與世界各地的研究人員及其學生合作，研究興趣包括固態物理，特別是在熱刺激和光刺激發光（TL和OSL）方面。這是一個具有考古和地質年代測定應用的研究領域，也涉及輻射劑量測定。他教授過經典和量子力學、類比和數位電子學以及數學物理等課程，還教授過多門一般科學課程。
帕戈尼斯博士的履歷中列出了超過140篇在國際期刊上發表的同行評審出版物。他曾獲得多項獎助金，包括來自本科研究委員會和國家科學基金會的獎項。他也是麥克丹尼爾學院科學領域約翰·德斯蒙德·科普教授職位的首位獲得者。
他是三本發光劑量測定領域書籍的共同作者，分別是2006年由Springer出版的《熱發光的實用和數值練習》，2011年由Wiley出版的《熱刺激和光刺激發光：模擬方法》，以及2019年由World Scientific出版的《光刺激和熱刺激發光的物理學及應用進展》。
