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Working with Dynamical Systems
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Working with Dynamical Systems : A Toolbox for Scientists and Engineers

Book Details

Format Hardback or Cased Book
ISBN-10 1138591718
ISBN-13 9781138591714
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 16th, 2020
Print length 250 Pages
Weight 674 grams
Dimensions 19.70 x 24.10 x 2.10 cms
Ksh 25,200.00
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This book provides working tools for the study and design of dynamical systems, emphasizing qualitative analysis over complex mathematics. The author includes executable Mathematica notebooks and extensive examples for discussion of mechanical models, models of chemical reactions, dynamics of patterns, and dynamical systems in space.

This book provides working tools for the study and design of nonlinear dynamical systems applicable in physics and engineering. It offers a broad-based introduction to this challenging area of study, taking an applications-oriented approach that emphasizes qualitative analysis and approximations rather than formal mathematics or simulation. The author, an internationally recognized authority in the field, makes extensive use of examples and includes executable Mathematica notebooks that may be used to generate new examples as hands-on exercises. The coverage includes discussion of mechanical models, chemical and ecological interactions, nonlinear oscillations and chaos, forcing and synchronization, spatial patterns and waves.

Key Features:

  • Written for a broad audience, avoiding dependence on mathematical formulations in favor of qualitative, constructive treatment
  • Extensive use of physical and engineering applications
  • Incorporates Mathematica notebooks for simulations and hands-on self-study
  • Provides a gentle but rigorous introduction to real-world nonlinear problems
  • Features a final chapter dedicated to applications of dynamical systems to spatial patterns

The book is aimed at student and researchers in applied mathematics and mathematical modelling of physical and engineering problems. It teaches to see common features in systems of different origins, and to apply common methods of study without losing sight of complications and uncertainties related to their physical origin.


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