Event Detail

Event Type: 
Applied Mathematics and Computation Seminar
Date/Time: 
Friday, November 20, 2009 - 04:00
Location: 
GLK 113

Speaker Info

Local Speaker: 
Abstract: 

It is well known that flow in porous media is strongly affected by
spatial variability in the medium and is additionally subject to
uncertainties.
Using stochastic models to incorporate uncertainty and variability in
the equations that govern flow and transport in heterogeneous media
yields stochastic partial differential equations. The Monte Carlo method can be used to
find approximate solutions to these equations. We present some
Monte Carlo simulations based on Karhunen-Loeve decompositions of
stochastic processes.