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    Scaling of Differential Equations

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    Author(s)
    Langtangen, Hans Petter
    Pedersen, Geir K.
    Language
    English
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    Abstract
    The book serves both as a reference for various scaled models with corresponding dimensionless numbers, and as a resource for learning the art of scaling. A special feature of the book is the emphasis on how to create software for scaled models, based on existing software for unscaled models. Scaling (or non-dimensionalization) is a mathematical technique that greatly simplifies the setting of input parameters in numerical simulations. Moreover, scaling enhances the understanding of how different physical processes interact in a differential equation model. Compared to the existing literature, where the topic of scaling is frequently encountered, but very often in only a brief and shallow setting, the present book gives much more thorough explanations of how to reason about finding the right scales. This process is highly problem dependent, and therefore the book features a lot of worked examples, from very simple ODEs to systems of PDEs, especially from fluid mechanics. The text is easily accessible and example-driven. The first part on ODEs fits even a lower undergraduate level, while the most advanced multiphysics fluid mechanics examples target the graduate level. The scientific literature is full of scaled models, but in most of the cases, the scales are just stated without thorough mathematical reasoning. This book explains how the scales are found mathematically. This book will be a valuable read for anyone doing numerical simulations based on ordinary or partial differential equations.
    URI
    https://library.oapen.org/handle/20.500.12657/42897
    Keywords
    Ordinary Differential Equations; Partial Differential Equations; Mathematical Modeling and Industrial Mathematics; Computational Science and Engineering; Simulation and Modeling; Analysis; Computer Science; scaling; non-dimensionalization; dimensionless numbers; fluid mechanics; multiphysics models; Differential calculus & equations; Mathematical modelling; Maths for engineers; Maths for scientists; Computer modelling & simulation
    DOI
    10.1007/978-3-319-32726-6
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2016
    Imprint
    Springer International Publishing
    Series
    Simula SpringerBriefs on Computing, 2
    Classification
    Differential calculus and equations
    Mathematical modelling
    Maths for scientists
    Computer modelling and simulation
    Pages
    138
    Rights
    http://creativecommons.org/licenses/by-nc/2.5/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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