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An introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applications

This book introduces the reader to solving partial differential equations (PDEs) numerically using element-based Galerkin methods. Although it draws on a solid theoretical foundation (e.g. the theory of interpolation, numerical integration, and function spaces), the book’s main focus is on how to bu...

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Detalles Bibliográficos
Autor principal: Giraldo, Francis X
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-55069-1
http://cds.cern.ch/record/2744410
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author Giraldo, Francis X
author_facet Giraldo, Francis X
author_sort Giraldo, Francis X
collection CERN
description This book introduces the reader to solving partial differential equations (PDEs) numerically using element-based Galerkin methods. Although it draws on a solid theoretical foundation (e.g. the theory of interpolation, numerical integration, and function spaces), the book’s main focus is on how to build the method, what the resulting matrices look like, and how to write algorithms for coding Galerkin methods. In addition, the spotlight is on tensor-product bases, which means that only line elements (in one dimension), quadrilateral elements (in two dimensions), and cubes (in three dimensions) are considered. The types of Galerkin methods covered are: continuous Galerkin methods (i.e., finite/spectral elements), discontinuous Galerkin methods, and hybridized discontinuous Galerkin methods using both nodal and modal basis functions. In addition, examples are included (which can also serve as student projects) for solving hyperbolic and elliptic partial differential equations, including both scalar PDEs and systems of equations.
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spelling cern-27444102021-04-21T16:45:01Zdoi:10.1007/978-3-030-55069-1http://cds.cern.ch/record/2744410engGiraldo, Francis XAn introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applicationsMathematical Physics and MathematicsThis book introduces the reader to solving partial differential equations (PDEs) numerically using element-based Galerkin methods. Although it draws on a solid theoretical foundation (e.g. the theory of interpolation, numerical integration, and function spaces), the book’s main focus is on how to build the method, what the resulting matrices look like, and how to write algorithms for coding Galerkin methods. In addition, the spotlight is on tensor-product bases, which means that only line elements (in one dimension), quadrilateral elements (in two dimensions), and cubes (in three dimensions) are considered. The types of Galerkin methods covered are: continuous Galerkin methods (i.e., finite/spectral elements), discontinuous Galerkin methods, and hybridized discontinuous Galerkin methods using both nodal and modal basis functions. In addition, examples are included (which can also serve as student projects) for solving hyperbolic and elliptic partial differential equations, including both scalar PDEs and systems of equations.Springeroai:cds.cern.ch:27444102020
spellingShingle Mathematical Physics and Mathematics
Giraldo, Francis X
An introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applications
title An introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applications
title_full An introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applications
title_fullStr An introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applications
title_full_unstemmed An introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applications
title_short An introduction to element-based Galerkin methods on tensor-product bases: analysis, algorithms, and applications
title_sort introduction to element-based galerkin methods on tensor-product bases: analysis, algorithms, and applications
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-55069-1
http://cds.cern.ch/record/2744410
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