The Journal of the Operational Research Society, Vol. 64, No. 10 (OCTOBER 2013), pp. 1557-1569 (13 pages) The common difficulty in solving a Binary Linear Programming (BLP) problem is uncertainties in ...

Model abstraction for finite state automata is helpful for decreasing computational complexity and improving comprehensibility for the verification and control synthesis of discrete-event systems (DES ...

This paper presents a computationally efficient method for binary classification using Manski's (1975,1985) maximum score model when covariates are discretely distributed and parameters are partially ...

Abstract: In this paper we model access selection in heterogeneous access network environments as a binary linear optimization problem. The model is based on a flexible utility function, which allows ...

Abstract: We develop a framework for linear-programming (LP) decoding of non-binary linear codes over rings. We prove that the resulting LP decoder has the `maximum likelihood certificate' property, ...

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