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Working with Dynamical Systems (A Toolbox for Scientists and Engineers)

List Price: $68.99
SKU:
9780367636289
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25 unit(s)
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  • Product Details

    Author:
    Len Pismen
    Format:
    Paperback
    Pages:
    250
    Publisher:
    CRC Press (May 31, 2023)
    Language:
    English
    ISBN-13:
    9780367636289
    Weight:
    18.375oz
    Dimensions:
    7.5" x 9.25"
    File:
    TAYLORFRANCIS-TayFran_260825151049702-20260825.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $68.99
    Series:
    Series in Computational Biophysics
    Case Pack:
    36
    As low as:
    $65.54
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    CRC Press
  • Overview

    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.