Particle methods provide a powerful vocabulary to describe a wide range of deterministic and stochastic processes exhibiting multi-scale characteristics.
In this talk we introduce wavelet adapted particle methods for the Navier-Stokes equations and Adaptive Mesh Refinement for stochastic simulations of reaction-diffusion processes. We discuss the coupling of deterministic and stochastic algorithms and emphasize the mapping of these algorithms to multi/many-core architectures. We demonstrate the capabilities of particle methods by presenting applications ranging from fish swimming, to cancer induced angiogenesis and nano-fluidics.
Begin Flash full motion video, or Flash lower bandwidth video. (Or, right-click to download the 3gp file.)
Begin QuickTime full motion movie or Quicktime lower bandwidth movie.
(Or, right-click to download the lower bandwidth movie.) (Or, right-click to download the podcast.)
Begin streaming RealMedia. (Or, right-click to download the audio file.)
To begin viewing slides, click on the first slide below. (Or, view as pdf.)
Author entry (protected)