> Detailanzeige

Mazilu, Dan A. [VerfasserIn]; Mazilu, Irina [VerfasserIn]; Williams, H. Thomas [VerfasserIn] ; Morgan & Claypool Publishers, Institute of Physics (Great Britain)

From complex to simple : interdisciplinary stochastic models - [Version: 20180801]

Literatur-
verwaltung

Zur
Merkliste

Lösche von
Merkliste

Per Whatsapp teilen

Schließen

Merkliste



Sie können Bookmarks mittels Listen verwalten, loggen Sie sich dafür bitte in Ihr SLUB Benutzerkonto ein.
  • Medientyp: E-Book
  • Titel: From complex to simple : interdisciplinary stochastic models
  • Beteiligte: Mazilu, Dan A. [VerfasserIn]; Mazilu, Irina [VerfasserIn]; Williams, H. Thomas [VerfasserIn]
  • Körperschaft: Morgan & Claypool Publishers ; Institute of Physics (Great Britain)
  • Erschienen: San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA): Morgan & Claypool Publishers, 2018
  • Erschienen in: IOP concise physics
    IOP release 5
  • Ausgabe: Version: 20180801
  • Umfang: 1 online resource (various pagings)
  • Sprache: Englisch
  • DOI: 10.1088/978-1-64327-120-0
  • ISBN: 9781643271200; 9781643271187
  • Identifikator:
  • Schlagwörter: Statistical physics ; Mathematical Physics ; bicssc ; SCIENCE / Physics / Mathematical & Computational ; bisacsh ; Mathematical Physics ; SCIENCE / Physics / Mathematical & Computational
  • Entstehung:
  • Anmerkungen: "A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso. - Includes bibliographical references. - Title from PDF title page (viewed on September 10, 2018)
  • Beschreibung: 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 and explores a variety of mathematical techniques to solve the master equations that govern these models. The models discussed are at the confluence of nanophysics, biology, mathematics, and the social science, and provide a pedagogical path toward understanding the complex dynamics of particle self-assembly with the tools of statistical physics.