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Probabilistic models for nonlinear partial differential equations

✍ Scribed by Graham C., Kurtz Th., et al.


Publisher
Springer
Year
1996
Tongue
English
Leaves
311
Series
Lecture Notes in Mathematics 1627
Category
Library

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✦ Synopsis


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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