9783540613978-3540613978-Probabilistic Models for Nonlinear Partial Differential Equations: Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo ... 1995 (Lecture Notes in Mathematics, 1627)

Probabilistic Models for Nonlinear Partial Differential Equations: Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo ... 1995 (Lecture Notes in Mathematics, 1627)

ISBN-13: 9783540613978
ISBN-10: 3540613978
Edition: 1996
Author: Carl Graham, Thomas G. Kurtz, Sylvie Meleard, Philip Protter, Mario Pulvirenti, Denis Talay, Luciano Tubaro
Publication date: 1996
Publisher: Springer
Format: Paperback 312 pages
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Book details

ISBN-13: 9783540613978
ISBN-10: 3540613978
Edition: 1996
Author: Carl Graham, Thomas G. Kurtz, Sylvie Meleard, Philip Protter, Mario Pulvirenti, Denis Talay, Luciano Tubaro
Publication date: 1996
Publisher: Springer
Format: Paperback 312 pages

Summary

Probabilistic Models for Nonlinear Partial Differential Equations: Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo ... 1995 (Lecture Notes in Mathematics, 1627) (ISBN-13: 9783540613978 and ISBN-10: 3540613978), written by authors Carl Graham, Thomas G. Kurtz, Sylvie Meleard, Philip Protter, Mario Pulvirenti, Denis Talay, Luciano Tubaro, was published by Springer in 1996. With an overall rating of 4.2 stars, it's a notable title among other Number Systems (Mathematics, Pure Mathematics, Mathematical Physics, Physics) books. You can easily purchase or rent Probabilistic Models for Nonlinear Partial Differential Equations: Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo ... 1995 (Lecture Notes in Mathematics, 1627) (Paperback) from BooksRun, along with many other new and used Number Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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