Abstract. This paper deals with maximum likelihood and least square segmentation of autoregressive random sequences with abruptly changing parameters. Conditional distribution of t...
Abstract. The availability of commodity multiprocessors offers significant opportunities for addressing the increasing computational requirements of optimization applications. To...
The perfectly synchronized round model provides the abstraction of crash-stop failures with atomic message delivery. This abstraction makes distributed programming very easy. We p...
operators. The analysis is abstract interpretation-based and is parameterized over two polyvariance operators and a projection operator. These operators are used to regulate the sp...
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...