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Probabilistic Models for Nonlinear Partial Differential Equations

Download or Read eBook Probabilistic Models for Nonlinear Partial Differential Equations PDF written by Denis Talay and published by Springer. This book was released on 2006-11-13 with total page 312 pages. Available in PDF, EPUB and Kindle.
Probabilistic Models for Nonlinear Partial Differential Equations
Author :
Publisher : Springer
Total Pages : 312
Release :
ISBN-10 : 9783540685135
ISBN-13 : 3540685138
Rating : 4/5 (35 Downloads)

Book Synopsis Probabilistic Models for Nonlinear Partial Differential Equations by : Denis Talay

Book excerpt: The lecture courses of the CIME Summer School on Probabilistic Models for Nonlinear PDE's and their Numerical Applications (April 1995) had a three-fold emphasis: first, on the weak convergence of stochastic integrals; second, on the probabilistic interpretation and the particle approximation of equations coming from Physics (conservation laws, Boltzmann-like and Navier-Stokes equations); third, on the modelling of networks by interacting particle systems. This book, collecting the notes of these courses, will be useful to probabilists working on stochastic particle methods and on the approximation of SPDEs, in particular, to PhD students and young researchers.


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