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Deep Learning in Computational Mechanics: An Introductory Course - Studies in Computational Intelligence Stefan Kollmannsberger 2021 edition
Deep Learning in Computational Mechanics: An Introductory Course - Studies in Computational Intelligence
Stefan Kollmannsberger
It then provides an overview of current topics in physics and engineering, setting the stage for the book’s main topics: physics-informed neural networks and the deep energy method. The idea of the book is to provide the basic concepts in a mathematically sound manner and yet to stay as simple as possible.
104 pages, 20 Tables, color; 22 Illustrations, color; 19 Illustrations, black and white; VI, 104 p.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2022年8月7日 |
| ISBN13 | 9783030765897 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 104 |
| 寸法 | 156 × 234 × 9 mm · 192 g |
| 言語 | ドイツ語 |