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Replication of Chaos in Neural Networks, Economics and Physics - Nonlinear Physical Science Softcover reprint of the original 1st ed. 2015 edition
Marat Akhmet
Replication of Chaos in Neural Networks, Economics and Physics - Nonlinear Physical Science Softcover reprint of the original 1st ed. 2015 edition
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
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | October 25, 2016 |
ISBN13 | 9783662517109 |
Publishers | Springer-Verlag Berlin and Heidelberg Gm |
Pages | 457 |
Dimensions | 686 g (Weight (estimated)) |