We present a method for designing operational amplifiers using reversed geometric programming, which is an extension of geometric programming that allows both convex and non-conve...
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
— The problem of non-cooperative power control is studied for wireless ad hoc networks supporting data services. We develop a maximum throughput based non-cooperative power contr...
Abstract— This paper proposes the opportunistic power allocation (OPA) scheme for random beamforming with a limited feedback rate. Without the channel state information, the prop...