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Replication of Chaos in Neural Networks, Economics and Physics - Nonlinear Physical Science Marat Akhmet Softcover reprint of the original 1st ed. 2015 edition
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Replication of Chaos in Neural Networks, Economics and Physics - Nonlinear Physical Science
Marat Akhmet
This book presents detailed descriptions of chaos for continuous-time systems. It is the first-ever book to consider chaos as an input for differential and hybrid equations. The findings strongly suggest that chaos theory can proceed from the theory of differential equations to a higher level than previously thought.
457 pages, 133 Illustrations, color; 8 Illustrations, black and white; XV, 457 p. 141 illus., 133 il
| 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 | 2016年10月25日 |
| ISBN13 | 9783662517109 |
| 出版社 | Springer-Verlag Berlin and Heidelberg Gm |
| ページ数 | 457 |
| 寸法 | 150 × 220 × 10 mm · 686 g (重量（概算）) |
| 言語 | ドイツ語 |
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