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Table of contents

  1. Front Matter
    Pages i-xiii
  2. Hans Petter Langtangen, Geir K. Pedersen
    Pages 1-15 Open Access
  3. Hans Petter Langtangen, Geir K. Pedersen
    Pages 17-68 Open Access
  4. Hans Petter Langtangen, Geir K. Pedersen
    Pages 69-98 Open Access
  5. Hans Petter Langtangen, Geir K. Pedersen
    Pages 99-134 Open Access
  6. Back Matter
    Pages 135-138

About this book

Introduction

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.

Keywords

scaling non-dimensionalization ordinary differential equations partial differential equations dimensionless numbers fluid mechanics multiphysics models

Authors and affiliations

  • Hans Petter Langtangen
    • 1
  • Geir K. Pedersen
    • 2
  1. 1.Center for Biomedical ComputingSimula Research LaboratoryFornebuNorway
  2. 2.Department of MathematicsUniversity of OsloOsloNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-32726-6
  • Copyright Information The Editor(s) (if applicable) and the Author(s) 2016
  • License CC BY-NC
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-32725-9
  • Online ISBN 978-3-319-32726-6
  • Buy this book on publisher's site