Rate this book
What to read after Probabilistic Models for Nonlinear Partial Differential Equations?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Probabilistic Models for Nonlinear Partial Differential Equations" by Carl Graham! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
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 , Mario Pulvirenti , Philip E. Protter , Sylvie Meleard , Thomas G. Kurtz
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.
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Probabilistic Models for Nonlinear Partial Differential Equations" by Carl Graham? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
