We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
— This paper addresses the problem of optical signal-to-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general multi-lin...
In this paper we present a method for FPGA datapath precision optimization subject to user-defined area and error constraints. This work builds upon our previous research [1] which...
We present an information theoretic perspective on optimal broadband matching. Most of the broadband matching and communication theory literature assumes a frequencyflat reflection...
d Abstract) Alexander Aiken1 and Edward L. Wimmers2 and Jens Palsberg3 1 EECS Department, University of California at Berkeley, Berkeley, CA 94720-1776. 2 IBM Almaden Research Cent...