P-adic Deterministic and Random Dynamics
Andrei Y. Khrennikov · Marcus Nilsson
Mac 2013 · Mathematics and Its Applications Kitabu cha 574 · Springer Science & Business Media
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270
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reportUkadiriaji na maoni hayajahakikishwa Pata Maelezo Zaidi
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This book provides an overview of the theory of p-adic (and more general non-Archimedean) dynamical systems. The main part of the book is devoted to discrete dynamical systems. It presents a model of probabilistic thinking on p-adic mental space based on ultrametric diffusion. Coverage also details p-adic neural networks and their applications to cognitive sciences: learning algorithms, memory recalling.
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