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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/11498
Title: Deterministic Particle Methods for High Dimensional Fokker-Planck Equations
Authors: Venkiteswaran, G.
Keywords: Mathematics
Monte Carlo
Polymeric Liquid
Halton Sequence
Consecutive Component
Wiener Increment
Issue Date: 2006
Publisher: Springer
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.
URI: https://link.springer.com/chapter/10.1007/978-3-540-46222-4_10
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11498
Appears in Collections:Department of Mathematics

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