| 期刊全稱 | An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases | | 期刊簡稱 | Analysis, Algorithms | | 影響因子2023 | Francis X. Giraldo | | 視頻video | http://file.papertrans.cn/156/155238/155238.mp4 | | 發(fā)行地址 | The construction of element matrices and the resulting matrices are shown for all the differential operators discussed. This helps the reader understand the material clearly and assists them in buildi | | 學科分類 | Texts in Computational Science and Engineering | | 圖書封面 |  | | 影響因子 | .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.. | | Pindex | Textbook 2020 |
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