| 書目名稱 | Dynamical Systems with Applications using Python | | 編輯 | Stephen Lynch | | 視頻video | http://file.papertrans.cn/284/283899/283899.mp4 | | 概述 | Designed for a broad audience of students in applied mathematics, physics, and engineering.Represents dynamical systems with popular Python libraries like sympy, numpy, and matplotlib.Explores a varie | | 圖書封面 |  | | 描述 | This textbook provides a broad introduction to continuous and discrete dynamical systems. With its hands-on approach, the text leads the reader from basic theory to recently published research material in nonlinear ordinary differential equations, nonlinear optics, multifractals, neural networks, and binary oscillator computing. Dynamical Systems with Applications Using Python takes advantage of Python’s extensive visualization, simulation, and algorithmic tools to study those topics in nonlinear dynamical systems through numerical algorithms and generated diagrams..After a tutorial introduction to Python, the first part of the book deals with continuous systems using differential equations, including both ordinary and delay differential equations. The second part of the book deals with discrete dynamical systems and progresses to the study of both continuous and discrete systems in contexts like chaos control and synchronization, neural networks, and binary oscillator computing. These later sections are useful reference material for undergraduate student projects. The book is rounded off with example coursework to challenge students’ programming abilities and Python-based exam que | | 出版日期 | Textbook 2018 | | 關(guān)鍵詞 | Gr?bner bases; nonlinear discrete dynamical systems; bifurcation theory; fractals; optical resonators; di | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-78145-7 | | isbn_softcover | 978-3-030-08624-4 | | isbn_ebook | 978-3-319-78145-7 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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