| 书目名称 | Finite Element Methods | | 副标题 | Parallel-Sparse Stat | | 编辑 | Duc Thai Nguyen | | 视频video | | | 概述 | Greatly expands chapters 2 and 6, added appendices and adds three new chapters, 7, 8, and 9.Introduces several additional/important research topics for “broad (engineering & science)” applications.Exp | | 图书封面 |  | | 描述 | .This new edition includes three new chapters, 7 through 9, that have very broad, practical applications in engineering and science. In addition, the author’s latest research results incorporated into the new textbook demonstrates better performance than the popular METIS software for partitioning graphs, partitioning finite element meshes, and producing fill-reducing orderings for sparse matrices. The new Chapter 8, and its pre-requisite, Chapter 7, present a state-of-the-art algorithm for computing the shortest paths for real-life (large-scale) transportation networks with minimum computational time. This approach has not yet appeared in any existing textbooks and it could open the doors for other transportation engineering applications. Chapter 9 vastly expands the scope of the previous edition by including sensitivity (gradient) computation and MATLAB’s built-in function “fmincon” for obtaining the optimum (or best) solution for general engineering problems.. | | 出版日期 | Textbook 2024Latest edition | | 关键词 | Sparse matrix; algorithm; algorithms; analysis; duc; element; elements; finite element method; generalized; l | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-48788-0 | | isbn_softcover | 978-3-031-48790-3 | | isbn_ebook | 978-3-031-48788-0 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:59:41
