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Dynamical Systems with Applications using Python de Stephen Lynch
Descripción - Críticas “This book is meant as an upper level undergraduate or graduate text in dynamical systems. … this is an attractive text, one that I wish I had access to when I was learning dynamical systems, and one that I would be glad to teach from.” (John Starrett, MAA Reviews, July 28, 2019) Reseña del editor 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 questions. This book will appeal to advanced undergraduate and graduate students, applied mathematicians, engineers, and researchers in a range of disciplines, such as biology, chemistry, computing, economics, and physics. Since it provides a survey of dynamical systems, a familiarity with linear algebra, real and complex analysis, calculus, and ordinary differential equations is necessary, and knowledge of a programming language like C or Java is beneficial but not essential. Contraportada 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 questions. This book will appeal to advanced undergraduate and graduate students, applied mathematicians, engineers, and researchers in a range of disciplines, such as biology, chemistry, computing, economics, and physics. Since it provides a survey of dynamical systems, a familiarity with linear algebra, real and complex analysis, calculus, and ordinary differential equations is necessary, and knowledge of a programming language like C or Java is beneficial but not essential. Biografía del autor Stephen Lynch is Senior Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University.
Detalles del Libro
- Name: Dynamical Systems with Applications using Python
- Autor: Stephen Lynch
- Categoria: Libros,Ciencias, tecnología y medicina,Física
- Tamaño del archivo: 16 MB
- Tipos de archivo: PDF Document
- Descargada: 196 times
- Idioma: Español
- Archivos de estado: AVAILABLE
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Dynamical systems with applications using python stephen dynamical systems with applications using python takes advantage of pythons extensive visualization simulation and algorithmic tools to study those topics in nonlinear dynamical systems through numerical algorithms and generated diagrams
Springermathdynamicalsystemswithapplicationsusingpython this repository accompanies dynamical systems with applications using python by stephen lynch birkhäuser 2018 download the files as a zip using the green button or clone the repository to your machine using git releases release v10 corresponds to the code in the published book without corrections or updates corrections
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Dynamical systems with applications using python ebook get this from a library dynamical systems with applications using python stephen lynch this textbook provides a broad introduction to continuous and discrete dynamical systems with its handson approach the text leads the reader from basic theory to recently published research
Dynamical systems with applications using python dynamical systems with applications using python takes advantage of pythons 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
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Dynamical systems with applications using pythonfinelybook dynamical systems with applications using python by 作者 stephen lynch isbn10 书号 3319781448 isbn13 书号 9783319781440 edition 版本 1st ed 2018 release finelybook 出版日期 20181010 pages 页数 665 book description to finelybook sorting this textbook provides a broad introduction to continuous and discrete dynamical
Dynamical systems with applications using python lynch dynamical systems with applications using python takes advantage of pythons extensive visualization simulation and algorithmic tools to study those topics in nonlinear dynamical systems through numerical algorithms and generated diagrams
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