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Total Size:
59.9 MB
Info Hash:
E4875F541165A87E43079C4825BAFF4E5B050981
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Added:
Sept. 6, 2025, 8:39 a.m.
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(Last updated: Sept. 6, 2025, 9:10 a.m.)
| File | Size |
|---|---|
| Bhattacharya R., Majumdar M. Random Dynamical Systems. Theory and Apps 2007.pdf | 2.1 MB |
| Langtangen H., Logg A. Solving PDEs in Python. The FEniCS Tutorial I 2017.pdf | 4.7 MB |
| Code.zip | 5.4 MB |
| Barros L. A First Course in Fuzzy Logic, Fuzzy Dynamical Systems,...2ed 2024.pdf | 7.7 MB |
| Lynch S. Dynamical Systems with Applications using Python 2018.pdf | 18.3 MB |
| Volterra V. Theory of Functionals and of Integral and Integro-Diff Equ 2005.pdf | 21.6 MB |
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13.8 MB
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2023-07-02
| Uploaded by indexFroggy | Size 13.8 MB | Health [ 51 /2 ] | Added 2023-07-02 |
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106.7 MB
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2025-09-06
| Uploaded by andryold1 | Size 106.7 MB | Health [ 28 /7 ] | Added 2025-09-06 |
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| Uploaded by homesickrisk | Size 795.4 MB | Health [ 42 /7 ] | Added 2025-03-04 |
NOTE
SOURCE: Lynch S. Dynamical Systems with Applications using Python 2018
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MEDIAINFO
Textbook in PDF format 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
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