Deterministic particle methods for high dimensional Fokker-Planck Equations

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We consider a mathematical model for polymeric liquids which requires the solution of high-dimensional Fokker-Planck equations related to stochastic differential equations. While Monte-Carlo (MC) methods are classically used to construct approximate solutions in this context, we consider an approach based on Quasi- Monte-Carlo (QMC) approximations. Although QMC has proved to be superior to MC in certain integration problems, the advantages are not as pronounced when dealing with stochastic differential equations. In this article, we illustrate the basic difficulty which is related to the construction of QMC product measures.

Cite

CITATION STYLE

APA

Junk, M., & Venkiteswaran, G. (2007). Deterministic particle methods for high dimensional Fokker-Planck Equations. Lecture Notes in Computational Science and Engineering, 57, 165–183. https://doi.org/10.1007/978-3-540-46222-4_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free