2016_Book_ScalingOfDifferentialEquations.pdf

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. Scalin...

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Γλώσσα:English
Έκδοση: Springer Nature 2020
Διαθέσιμο Online:https://www.springer.com/9783319327266
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spelling oapen-20.500.12657-428972020-11-14T01:44:58Z Scaling of Differential Equations Langtangen, Hans Petter Pedersen, Geir K. 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 bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBK Calculus & mathematical analysis::PBKJ Differential calculus & equations bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling bic Book Industry Communication::P Mathematics & science::PD Science: general issues::PDE Maths for scientists bic Book Industry Communication::U Computing & information technology::UY Computer science::UYM Computer modelling & simulation 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. 2020-11-13T13:34:15Z 2020-11-13T13:34:15Z 2016 book ONIX_20201113_9783319327266_3 https://library.oapen.org/handle/20.500.12657/42897 eng Simula SpringerBriefs on Computing application/pdf n/a 2016_Book_ScalingOfDifferentialEquations.pdf https://www.springer.com/9783319327266 Springer Nature Springer International Publishing 10.1007/978-3-319-32726-6 10.1007/978-3-319-32726-6 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer International Publishing 2 138 open access
institution OAPEN
collection DSpace
language English
description 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.
title 2016_Book_ScalingOfDifferentialEquations.pdf
spellingShingle 2016_Book_ScalingOfDifferentialEquations.pdf
title_short 2016_Book_ScalingOfDifferentialEquations.pdf
title_full 2016_Book_ScalingOfDifferentialEquations.pdf
title_fullStr 2016_Book_ScalingOfDifferentialEquations.pdf
title_full_unstemmed 2016_Book_ScalingOfDifferentialEquations.pdf
title_sort 2016_book_scalingofdifferentialequations.pdf
publisher Springer Nature
publishDate 2020
url https://www.springer.com/9783319327266
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