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.
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