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Texts in Computational Science and Engineering

Texts in Computational Science and Engineering: Analysis, Algorithms, and Applications

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Texts in Computational Science and Engineering: Analysis, Algorithms, and Applications

Giraldo, Francis X.

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, includingboth scalar PDEs and systems of equations.


Details

Published by: Springer

Publication Date: 2020-10-31

Format: Hardcover

ISBN-13: 9783030550684

DOI: 10.1007/978-3-030-55069-1

Dimensions: 235cm x155cm

Pages: 559

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