Interval-gradient cuts are (nonlinear) valid inequalities for nonconvex NLPs defined for constraints g(x) ≤ 0 with g being continuously differentiable in a box [x, ¯x]. In th...
Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti...
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
We design cryptographic protocols that recognize best case (optimistic) situations and exploit them. As a case study, we present a new concurrent zeroknowledge protocol that is exp...
Monte-Carlo Tree Search (MCTS) is a successful algorithm used in many state of the art game engines. We propose to improve a MCTS solver when a game has more than two outcomes. It ...
Abstract. Current XPath processors use direct approach to query evaluation which is quite inefficient in some cases and usually implemented serially. This may be a problem in case ...