Stochastic Partial Differential Equations /
Edited by Alison Etheridge.
- Cambridge : Cambridge University Press, 1995.
- 1 online resource (348 pages) : digital, PDF file(s).
- London Mathematical Society Lecture Note Series ; no. 216 .
- London Mathematical Society Lecture Note Series ; no. 216. .
Title from publisher's bibliographic system (viewed on 16 Oct 2015).
Stochastic partial differential equations can be used in many areas of science to model complex systems that evolve over time. Their analysis is currently an area of much research interest. This book consists of papers given at the ICMS Edinburgh meeting held in 1994 on this topic, and it brings together some of the world's best known authorities on stochastic partial differential equations. Subjects covered include the stochastic Navier–Stokes equation, critical branching systems, population models, statistical dynamics, and ergodic properties of Markov semigroups. For all workers on stochastic partial differential equations this book will have much to offer.
9780511526213 (ebook)
QA274.25 / .S74 1995
519.2
Title from publisher's bibliographic system (viewed on 16 Oct 2015).
Stochastic partial differential equations can be used in many areas of science to model complex systems that evolve over time. Their analysis is currently an area of much research interest. This book consists of papers given at the ICMS Edinburgh meeting held in 1994 on this topic, and it brings together some of the world's best known authorities on stochastic partial differential equations. Subjects covered include the stochastic Navier–Stokes equation, critical branching systems, population models, statistical dynamics, and ergodic properties of Markov semigroups. For all workers on stochastic partial differential equations this book will have much to offer.
9780511526213 (ebook)
QA274.25 / .S74 1995
519.2