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Random Evolutionary Systems Asymptotic Properties and Large Deviations /
Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations. In R...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Wiley-ISTE,
2021.
|
| Edición: | 1st edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | OR_on1277067426 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 210717s2021 enk go 000 0 eng d | ||
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| 020 | |a 9781119851240 |q (e-book) | ||
| 020 | |a 1119851246 | ||
| 020 | |z 9781786307521 | ||
| 035 | |a (OCoLC)1277067426 | ||
| 037 | |a 9781786307521 |b O'Reilly Media | ||
| 050 | 4 | |a QA276 | |
| 082 | 0 | 4 | |a 519.5 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Koroliouk, Dmitri, |e author. | |
| 245 | 1 | 0 | |a Random Evolutionary Systems |b Asymptotic Properties and Large Deviations / |c Dmitri Koroliouk, Igor Samoilenko. |
| 250 | |a 1st edition. | ||
| 264 | 1 | |a London : |b Wiley-ISTE, |c 2021. | |
| 300 | |a 1 online resource | ||
| 520 | |a Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations. In Random Evolutionary Systems we consider these systems in terms of the operators that appear in the schemes of their diffusion and the Poisson approximation. Such an approach allows us to obtain a number of limit theorems and asymptotic expansions of processes that model complex stochastic systems, both those that are autonomous and those dependent on an external random environment. In this case, various possibilities of scaling processes and their time parameters are used to obtain different limit results. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Mathematical statistics |x Asymptotic theory. | |
| 650 | 0 | |a Science |x Mathematical models. | |
| 650 | 7 | |a Mathematical statistics |x Asymptotic theory. |2 fast |0 (OCoLC)fst01012128 | |
| 650 | 7 | |a Science |x Mathematical models. |2 fast |0 (OCoLC)fst01108309 | |
| 700 | 1 | |a Samoilenko, Igor, |e author. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781786307521/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH39076947 | ||
| 994 | |a 92 |b IZTAP | ||