In this paper, we focus on the problem of existence of and computing small and large stable models. We show that for every xed integer k, there is a linear-time algorithm to decid...
In this paper we present data structures and distributed algorithms for CSL model checking-based performance and dependability evaluation. We show that all the necessary computatio...
It is argued that the teaching of programming is central to the education of skilled computer professionals, that the teaching of programming languages is central to the teaching ...
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of comput...
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...