Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Abstract An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions. Co...
Abstract-- The problem of universal simulation given a training sequence is studied both in a stochastic setting and for individual sequences. In the stochastic setting, the traini...
Abstract. We present a general scheme for automated instantiation-based invariant discovery. Given a transition system, the scheme produces k-inductive invariants from templates re...
Abstract—Many important biological problems can be modeled as contagion diffusion processes over interaction networks. This paper shows how the EpiSimdemics interaction-based sim...
Keith R. Bisset, Ashwin M. Aji, Madhav V. Marathe,...