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＜電子ブック＞
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 / by Carl Graham, Thomas G. Kurtz, Sylvie Meleard, Philip Protter, Mario Pulvirenti, Denis Talay ; edited by Denis Talay, Luciano Tubaro
(C.I.M.E. Foundation Subseries ; 1627)

版	1st ed. 1996.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1996
大きさ	X, 302 p : online resource
著者標目	*Graham, Carl author Kurtz, Thomas G author Meleard, Sylvie author Protter, Philip author Pulvirenti, Mario author Talay, Denis author Talay, Denis editor Tubaro, Luciano editor SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Differential equations LCSH:Numerical analysis LCSH:Thermodynamics LCSH:System theory LCSH:Mathematical physics FREE:Probability Theory FREE:Differential Equations FREE:Numerical Analysis FREE:Thermodynamics FREE:Complex Systems FREE:Theoretical, Mathematical and Computational Physics
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/BFb0093175

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