Fr. 69.00

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

English · Paperback / Softback

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Description

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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.

List of contents

Weak convergence of stochastic integrals and differential equations.- Asymptotic behaviour of some interacting particle systems; McKean-Vlasov and Boltzmann models.- Kinetic limits for stochastic particle systems.- A statistical physics approach to large networks.- Probabilistic numerical methods for partial differential equations: Elements of analysis.- Weak convergence of stochastic integrals and differential equations II: Infinite dimensional case.

Product details

Authors Carl Graham, Thomas G. Kurtz, Sylvie Meleard, Philip Protter, Mario Pulvirenti, Denis Talay
Assisted by Denis Talay (Editor), Luciano Tubaro (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.1960
 
EAN 9783540613978
ISBN 978-3-540-61397-8
No. of pages 302
Dimensions 156 mm x 236 mm x 19 mm
Weight 472 g
Illustrations X, 302 p.
Series Lecture Notes in Mathematics
Lecture Notes in Mathematics
C.I.M.E. Foundation Subseries
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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