Adaptive Monte Carlo methods are very efficient techniques designed to tune simulation estimators on-line. In this work, we present an alternative to stochastic approximation to tune the optimal ...

An importance sampling procedure is developed to approximate the distribution of an arbitrary function of the eigenvalues for a matrix beta random matrix or a Wishart random matrix. The procedure is ...

A very important aspect of memory design is yield analysis which takes into account the performance of SRAM cells in the presence of process variations. This project involves a study of algorithms for ...