Probabilistic Models for Nonlinear Partial Differential Equations
Graham, Carl.
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 / [electronic resource] : by Carl Graham, Thomas G. Kurtz, Sylvie Méléard, Philip E. Protter, Mario Pulvirenti, Denis Talay ; edited by Denis Talay, Luciano Tubaro. - X, 302 p. online resource. - C.I.M.E. Foundation Subseries ; 1627 . - C.I.M.E. Foundation Subseries ; 1627 .
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.
9783540685135
10.1007/BFb0093175 doi
Distribution (Probability theory.
Differential equations, partial.
Numerical analysis.
Thermodynamics.
Statistical physics.
Probability Theory and Stochastic Processes.
Partial Differential Equations.
Numerical Analysis.
Thermodynamics.
Complex Systems.
Statistical Physics and Dynamical Systems.
QA273.A1-274.9 QA274-274.9
519.2
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 / [electronic resource] : by Carl Graham, Thomas G. Kurtz, Sylvie Méléard, Philip E. Protter, Mario Pulvirenti, Denis Talay ; edited by Denis Talay, Luciano Tubaro. - X, 302 p. online resource. - C.I.M.E. Foundation Subseries ; 1627 . - C.I.M.E. Foundation Subseries ; 1627 .
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.
9783540685135
10.1007/BFb0093175 doi
Distribution (Probability theory.
Differential equations, partial.
Numerical analysis.
Thermodynamics.
Statistical physics.
Probability Theory and Stochastic Processes.
Partial Differential Equations.
Numerical Analysis.
Thermodynamics.
Complex Systems.
Statistical Physics and Dynamical Systems.
QA273.A1-274.9 QA274-274.9
519.2