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An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases - Analysis, Algorithms, and Applications (Hardcover,... An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases - Analysis, Algorithms, and Applications (Hardcover, 1st ed. 2020)
Francis X. Giraldo
R2,664 Discovery Miles 26 640 Ships in 10 - 15 working days

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.

An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases - Analysis, Algorithms, and Applications (Paperback,... An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases - Analysis, Algorithms, and Applications (Paperback, 1st ed. 2020)
Francis X. Giraldo
R1,915 Discovery Miles 19 150 Ships in 10 - 15 working days

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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