Decomposition Techniques for Large-Scale Energy Optimization Problems

The primary goal of this work is to show a robust method for uncertainty quan- tification applied to energy systems. The first step in this direction was made do- ing a work on

We studied cellulite affected tissues with a multimodal approach: magnetic resonance imaging (MRI), ultrastructural analysis (Transmission Electron Microscopy (TEM)

L’obiettivo di questa tesi è il miglioramento della situazione manutentiva dell’impianto tramite una fase di documentazione ed una di informatizzazione della

L’efficiacia dell’approccio anomaly detection, e quindi del sistema proposto, si basa sull’ipotesi che il profilo ` e generato a partire da un learning set che non ` e corrotto

The effectiveness of anomaly detection approach, and hence of the proposed framework, bases on the assumption that the profile is computed starting from a learning set which is

In this work, which deals with an efficient Truncated Newton method for solving large scale unconstrained optimization problems, we considered the use of an adapted Bunch and

First, we refer to the solution of large scale indefinite linear sys- tems by using a Krylov subspace method, and describe the iterative construction of a preconditioner which does

Scelte di politica criminale che individuino condotte sintomatiche di (tenta- tivi) d’infiltrazione mafiosa, al fine di reprimerle sul nascere, ap- paiono particolarmente indicate