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CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
15 years 4 days ago
Convergence rates of consensus algorithms in stochastic networks
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...
Stacy Patterson, Bassam Bamieh
CORR
2011
Springer
206views Education» more  CORR 2011»
15 years 4 days ago
Convergence analysis of a proximal Gauss-Newton method
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...
Saverio Salzo, Silvia Villa
TIT
2010
112views Education» more  TIT 2010»
14 years 12 months ago
Twice-universal simulation of Markov sources and individual sequences
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...
Alvaro Martín, Neri Merhav, Gadiel Seroussi...
NFM
2011
303views Formal Methods» more  NFM 2011»
14 years 11 months ago
Instantiation-Based Invariant Discovery
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...
Temesghen Kahsai, Yeting Ge, Cesare Tinelli
ICCABS
2011
14 years 8 months ago
High-performance biocomputing for simulating the spread of contagion over large contact networks
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,...