Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

We present a novel method for deriving tight Monte Carlo confidence intervals for solutions of stochastic dynamic programming equations. Taking some approximate solution to the equation as an input, ...

My friends, please believe this: the day has come for real dynamic power reduction! Over the past 15 years, EDA vendors have had some fairly old functionality for dynamic power reduction. Granted, ...