From Complex to Simple

Interdisciplinary Stochastic Models

Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, Other Sciences, Applied Sciences, General Physics
Cover of the book From Complex to Simple by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams, Morgan & Claypool Publishers
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Dan A. Mazilu, Irina Mazilu, H. Thomas Williams ISBN: 9781643271194
Publisher: Morgan & Claypool Publishers Publication: August 24, 2018
Imprint: IOP Concise Physics Language: English
Author: Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
ISBN: 9781643271194
Publisher: Morgan & Claypool Publishers
Publication: August 24, 2018
Imprint: IOP Concise Physics
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Morgan & Claypool Publishers

Cover of the book Verified Functional Programming in Agda by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Resource-Oriented Architecture Patterns for Webs of Data by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Student Attitudes, Student Anxieties, and How to Address Them by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book What's the Matter with Waves? by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Quantum Field Theory by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book The Search and Discovery of the Higgs Boson by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Data-Intensive Text Processing with MapReduce by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Essential Mathematics for the Physical Sciences, Volume 1 by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Demystifying OWL for the Enterprise by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Analysis of Alkali Metal Diatomic Spectra by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Computational Approaches in Physics by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Networks on Networks by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Project Management for Engineering Design by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Crystal Engineering by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
Cover of the book Theories of Matter, Space, and Time by Dan A. Mazilu, Irina Mazilu, H. Thomas Williams
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy