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    Applied Numerical Modelling for Engineers

    Applied Numerical Modelling for Engineers by Cogan, Donard de; Cogan, Anne de;

    Series: Textbooks in Electrical and Electronic Engineering; 6;

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    Product details:

    • Publisher OUP Oxford
    • Date of Publication 31 July 1997

    • ISBN 9780198564379
    • Binding Paperback
    • No. of pages284 pages
    • Size 233x156x17 mm
    • Weight 440 g
    • Language English
    • Illustrations line figures, tables
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    Short description:

    A good mathematical model of a physical situation leads to improved understanding. A good model must be robust (its underlying assumptions must not lead to inconsistent results) and it must be predictive anticipating results that can be verified by experiment. This book shows engineers how to construct or choose such models and how to solve them numerically. These are enormously important tasks in practical engineering.

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    Long description:

    A good mathematical model of a physical situation leads to improved understanding. A good model must be robust (its underlying assumptions must not lead to inconsistent results) and it must be predictive anticipating results that can be verified by experiment. This book shows engineers how to construct or choose such models and how to solve them numerically. These are enormously important tasks in practical engineering.

    This is a useful guide to the design and use of numerical models which can be converted into reliable simulation algorithms. It is aimed mainly at electrical and electronic engineering students but will also be useful to students of other engineering disciplines and physics.

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    Table of Contents:

    Introduction
    Models continuous and discrete
    The finite difference approach to discrete modelling
    Models based on distributed electromagnetic analogues
    Rule based models
    Probability based models
    Modelling methods involving non-Cartesian meshes
    Frequency domain models
    Some additional techniques
    Appendix. Mathematical fundamentals
    Index

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