Dynamical Systems with Applications using Python

Stephen Lynch

ISBN 10: 3319781448 / ISBN 13: 9783319781440

Published by Birkhäuser, Springer Okt 2018, 2018

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 665 pp. Englisch.

Seller Inventory # 9783319781440

Bibliographic Details

• Title: Dynamical Systems with Applications using Python
• Publisher: Birkhäuser, Springer Okt 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3319781448
• ISBN 13: 9783319781440
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 40D millimeters 241 millimeters width by 160 millimeters height by 40 millimeters depth
• Weight: 1304 grams

About this title

Synopsis

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. 

About the Author

Stephen Lynch is Senior Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University.