We consider an iterative preconditioning technique for non-convex large scale optimization. First, we refer to the solution of large scale indefinite linear systems by using a Krylov subspace method, and describe the iterative construction of a preconditioner which does not involve matrices...

This paper focuses on the solution of difficult multidisciplinary optimisation formulations arising in ship design. The latter schemes are by nature the result of the interaction among several optimisation problems. Each optimisation problem summarises the issues related to a specific aspect...

In this paper we analyze the stochastic model proposed by Galam in [S. Galam, Modelling rumors: The no plane Pentagon French hoax case, Physica A 320 (2003), 571–580], for information spreading in a ‘word-of-mouth’ process among agents, based on a majority rule. Using the communications...

1 Albano G. et al., A comparison among alternative parameters estimators in the Vasicek process: a small sample analysis -- 2 Amendola A. et al., On the use of mixed sampling in modelling realized volatility: The MEM–MIDAS -- 3 Amerise I. L. and Tarsitano A., Simultaneous prediction intervals...