Tuesday, May 21, 2013
4:00 pm
Annenberg 105

Special Seminar in Applied Mathematics

Multilevel Monte Carlo Method
Mike Giles, Professorial Fellow in Mathematical Finance at St Hugh's College, University of Oxford

In this talk, I will describe the multilevel Monte Carlo method which reduces the computational cost of Monte Carlo simulation by combining simulations with different levels of resolution.  Numerical results will be presented for two application areas: computational finance with a payoff dependent of the solution of a stochastic differential equation, and uncertainty quantification in modelling oil reservoirs and nuclear waste repositories with a stochastic field representation for the uncertain rock permeability.

Contact Sydney Garstang sydney@caltech.edu at x4555
For more information see http://www.acm.caltech.edu
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