The solution of large-scale, nonlinear PDE-based simulations typically depends on the performance of sparse linear solvers, which may be invoked at each nonlinear iteration. We pre...
Sanjukta Bhowmick, Lois C. McInnes, Boyana Norris,...
We give an algorithm that computes the final state of certain growth models without computing all intermediate states. Our technique is based on a "least action principle"...
We describe an open-source software framework that simulates the measurements made using one or several cameras in a videooculographic eye tracker. The framework can be used to co...
Abstract— We analyze the performance of likelihoodbased approaches used to reconstruct phylogenetic trees. Unlike other techniques such as Neighbor-Joining (NJ) and Maximum Parsi...
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...