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Deep Learning in Computational Mechanics: An Introductory Course - Studies in Computational Intelligence Stefan Kollmannsberger 2021 edition
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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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 6 de agosto de 2021 |
| ISBN13 | 9783030765866 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 104 |
| Dimensiones | 163 × 244 × 13 mm · 302 g |
| Lengua | Alemán |