In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
It is important that practical data-flow analyzers are backed by reliably proven theoretical Abstract interpretation provides a sound mathematical framework and necessary properti...
Patricia M. Hill, Roberto Bagnara, Enea Zaffanella
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
— The Kuka Control Toolbox (KCT) is a collection of MATLAB functions for motion control of KUKA robot manipulators, developed to offer an intuitive and high-level programming int...
Francesco Chinello, Stefano Scheggi, Fabio Morbidi...
Sized types are a modular and theoretically well-understood tool for checking termination of recursive and productivity of corecursive definitions. The essential idea is to track ...