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  • 1
    Keywords: Mathematics ; Computer programming ; Software engineering ; Computer mathematics ; Mathematics ; Computational Science and Engineering ; Programming Techniques ; Software Engineering ; Numerical and Computational Physics, Simulation ; Mathematical and Computational Engineering
    Description / Table of Contents: Preface --- Algorithms and implementations --- Analysis --- Generalizations --- Models --- Scientific Software Engineering --- References --- Index.
    Pages: Online-Ressource (XIV, 200 pages) , 29 illustrations
    ISBN: 9783319294391
    Language: English
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  • 2
    Publication Date: 2024-04-14
    Description: Computational Science and Engineering; Numerical Analysis;
    Keywords: Computational Science and Engineering ; Numerical Analysis ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 3
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-04
    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.
    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 ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKJ Differential calculus and equations ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDE Maths for scientists ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation
    Language: English
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  • 4
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-04
    Description: This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier–Stokes equations, and systems of nonlinear advection–diffusion–reaction equations, it guides readers through the essential steps to quickly solving a PDE in FEniCS, such as how to define a finite variational problem, how to set boundary conditions, how to solve linear and nonlinear systems, and how to visualize solutions and structure finite element Python programs. This book is open access under a CC BY license.
    Keywords: Computational Science and Engineering ; Algorithms ; Visualization ; Mathematical Software ; Numerical Analysis ; Software Engineering/Programming and Operating Systems ; Data and Information Visualization ; Software Engineering ; Finite element ; FEniCS ; Partial Differential Equations ; Python ; Simulation ; Open access ; Maths for scientists ; Combinatorics & graph theory ; Mathematical & statistical software ; Operating systems ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDE Maths for scientists ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBV Combinatorics and graph theory ; thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
    Language: English
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