| 書(shū)目名稱 | Multiscale Model Reduction |
| 副標(biāo)題 | Multiscale Finite El |
| 編輯 | Eric Chung,Yalchin Efendiev,Thomas Y. Hou |
| 視頻video | http://file.papertrans.cn/642/641146/641146.mp4 |
| 概述 | Introduces a systemic approach to theory, computation, and applications in multi-scale finite element methods.Presents an accessible summary to a wide array of researchers in mathematics, science, and |
| 叢書(shū)名稱 | Applied Mathematical Sciences |
| 圖書(shū)封面 |  |
| 描述 | This monograph is devoted to the study of multiscale model reduction methods from the point of view of multiscale finite element methods.?.Multiscale numerical methods have become popular tools for modeling processes with multiple scales. These methods allow reducing the degrees of freedom based on local offline computations. Moreover, these methods allow deriving rigorous macroscopic equations for multiscale problems without scale separation and high contrast. Multiscale methods are also used to design efficient solvers.?.This book offers a combination of analytical and numerical methods designed for solving multiscale problems. The book mostly focuses on methods that are based on multiscale finite element methods. Both applications and theoretical developments in this field are presented. The book is suitable for graduate students and researchers, who are interested in this topic.. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Model Reduction; Multiscale Finite Element Methods; Linear Equations; GMsFEM; Numerical Homogenization |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-20409-8 |
| isbn_softcover | 978-3-031-20411-1 |
| isbn_ebook | 978-3-031-20409-8Series ISSN 0066-5452 Series E-ISSN 2196-968X |
| issn_series | 0066-5452 |
| copyright | Springer Nature Switzerland AG 2023 |
|Archiver|手機(jī)版|小黑屋|
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