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Stochastic dynamics out of equilibrium = Institut Henri Poincare, Paris, France, 2017 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Stochastic dynamics out of equilibrium/ edited by Giambattista Giacomin ... [et al.].
其他題名:	Institut Henri Poincare, Paris, France, 2017 /
其他作者:	Giacomin, Giambattista.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xi, 649 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Distribution (Probability theory) -
電子資源:	https://doi.org/10.1007/978-3-030-15096-9
ISBN:	9783030150969

Stochastic dynamics out of equilibrium = Institut Henri Poincare, Paris, France, 2017 /
Stochastic dynamics out of equilibriumInstitut Henri Poincare, Paris, France, 2017 /[electronic resource] :edited by Giambattista Giacomin ... [et al.]. - Cham :Springer International Publishing :2019. - xi, 649 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.2822194-1009 ;. - Springer proceedings in mathematics & statistics ;v.24..

Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments. It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown. The trimester, held at the Institut Henri Poincare (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics. The present volume is indispensable reading for researchers and Ph.D. students working in such areas.

ISBN: 9783030150969

Standard No.: 10.1007/978-3-030-15096-9doiSubjects--Topical Terms:

527721
Distribution (Probability theory)

LC Class. No.: QA273.6 / .S76 2019

Dewey Class. No.: 519.2

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