Distributed training of massive machine learning models, in particular deep neural networks,
via Stochastic Gradient Descent (SGD) is becoming commonplace. Several families of …

Conducting polymer anodes for photovoltaic cells based on polyethylendioxythiophene (PEDOT)
and its derivatives (see Figure) are reported. The results presented here show that it is …

… In particular, Karl-Henrik Johansson, Haitham Hindi and Lin Xiao provided many constructive
comments on a late draft that greatly enhanced the quality of this book. All the remaining …

This paper presents a computational approach to stability analysis of nonlinear and hybrid
systems. The search for a piecewise quadratic Lyapunov function is formulated as a convex …

In this paper we propose a subgradient method for solving coupled optimization problems in
a distributed way given restrictions on the communication topology. The iterative procedure …

Presents an approach to stability analysis of fuzzy systems. The analysis is based on Lyapunov
functions that are continuous and piecewise quadratic. The approach exploits the gain-…

The use of piecewise quadratic cost functions is extended from stability analysis of piecewise
linear systems to performance analysis and optimal control. Lower bounds on the optimal …

We present an algorithm that generalizes the randomized incremental subgradient method
with fixed stepsize due to Nedić and Bertsekas [SIAM J. Optim., 12 (2001), pp. 109–138]. Our …

Bevacizumab, an antibody against vascular endothelial growth factor (VEGF), is a promising,
yet controversial, drug in human glioblastoma treatment (GBM). Its effects on tumor burden, …

In wireless data networks, the optimal routing of data depends on the link capacities which,
in turn, are determined by the allocation of communications resources (such as transmit …