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This book presents simple interdisciplinary stochastic models meant as a gentle introduction to the field of non-equilibrium statistical physics. It focuses on the analysis of two-state models with cooperative effects, which are versatile enough to be applied to many physical and social systems. The book also explores a variety of mathematical techniques to solve the master equations that govern these models: matrix theory, empty-interval methods, mean field theory, a quantum approach, and mapping onto classical Ising models. The models discussed are at the confluence of nanophysics, biology, mathematics, and the social sciences and provide a pedagogical path toward understanding the complex dynamics of particle self-assembly with the tools of statistical physics.
| Autorius: | Dan A. Mazilu, Irina Mazilu, H. Thomas Williams, |
| Leidėjas: | IOP Concise Physics |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 68 |
| ISBN-10: | 1643271172 |
| ISBN-13: | 9781643271170 |
| Formatas: | 254 x 178 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „From Complex to Simple: Interdisciplinary Stochastic Models“
