Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Distributed hash tables (DHTs) have been adopted as a building block for large-scale distributed systems. The upshot of this success is that their robust operation is even more imp...
In this paper, we consider the Grand Challenge under a very specific perspective: the enabling of application experts without programming knowledge to reliably model their busines...
While most previous work in planning manipulation tasks relies on the assumption of quasi-static conditions, there can be situations where the quasi-static assumption may not hold...
— We consider the design of Tomlinson-Harashima (TH) precoders for broadcast channels in the presence of channel uncertainty. For systems in which uplink-downlink reciprocity is ...