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＜電子ブック＞
An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases : Analysis, Algorithms, and Applications / by Francis X. Giraldo
(Texts in Computational Science and Engineering. ISSN:2197179X ; 24)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	XXVI, 559 p. 171 illus., 168 illus. in color : online resource
著者標目	*Giraldo, Francis X author SpringerLink (Online service)
件　名	LCSH:Differential equations LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Numerical analysis FREE:Differential Equations FREE:Computational Science and Engineering FREE:Numerical Analysis
一般注記	Introduction -- Motivation and Background -- Overview of Existing Methods -- One-Dimensional Problems -- Interpolation in One Dimension -- Numerical Integration in One Dimension -- 1D Continuous Galerkin Method for Hyperbolic Equations -- 1D Discontinuous Galerkin Methods for Hyperbolic Equations -- 1D Unified Continuous and Discontinuous Galerkin Methods for Systems of Hyperbolic Equations -- 1D Continuous Galerkin Methods for Elliptic Equations -- 1D Discontinuous Galerkin Methods for Elliptic Equations -- Two-Dimensional Problems -- Interpolation in Multiple Dimensions -- Numerical Integration in Multiple Dimensions -- 2D Continuous Galerkin Methods for Elliptic Equations -- 2D Discontinuous Galerkin Methods for Elliptic Equations -- 2D Unified Continuous and Discontinuous Galerkin Methods for Elliptic Equations -- 2D Continuous Galerkin Methods for Hyperbolic Equations -- 2D Discontinuous Galerkin Methods for Hyperbolic Equations -- 2D Continuous/Discontinuous Galerkin Methods for Hyperbolic Equations -- Advanced Topics -- Stabilization of High-Order Methods -- Adaptive Mesh Refinement -- Time Integration -- 1D Hybridizable Discontinuous Galerkin Method -- Classification of Partial Differential Equations and Vector Notation -- Jacobi Polynomials -- Data Structures 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 HTTP:URL=https://doi.org/10.1007/978-3-030-55069-1

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