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Probabilistic Models for Nonlinear Partial Differential Equations

Probabilistic Models for Nonlinear Partial Differential Equations Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Montecatini Terme, Italy, May 22-30, 1995

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Lecture Notes in Mathematics C.I.M.E. Foundation Subseries

Probabilistic Models for Nonlinear Partial Differential Equations

Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Montecatini Terme, Italy, May 22-30, 1995

Carl Graham | Denis Talay | Thomas G. Kurtz | Luciano Tubaro | Sylvie Meleard | Philip Protter | Mario Pulvirenti | Denis Talay

Mathematics / Probability & Statistics / General

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.

Publication Date: 12 July 1996
Publisher: Springer Berlin Heidelberg
Imprint: Springer
ISBN-13: 9783540613978
Format: Paperback softback
Page Count: 302

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