Giovedì 8 Ottobre 2015, alle ore 16 precise il Dr. Matteo Borrotti, IMATI-CNR, Milano terrà un seminario dal titolo:
COMPUTER-AIDED METHODOLOGIES FOR OPTIMIZING COMPLEX PROBLEMS
nell'ambito del Seminario di Matematica Applicata (IMATI-CNR e Dipartimento di Matematica, Pavia).
Al termine della conferenza sarà organizzato un piccolo rinfresco.
In recent years, the use of rules that govern experiments for technological improvement (i.e., Design of Experiments) has received renewed momentum through the utilization of Computer Experiments. These experiments are run on a computer code implementing a simulation model of a physical system of interest such as in the process of recovering waste printed circuit boards (PCBs) or in enzyme kinetics or in prosthesis design. In general, a simulation model, or simulator, consists of a set of many linear or nonlinear, ordinary and/or differential simultaneous equations, whose solutions may not be amenable to analytical expression. Furthermore, runs of the simulator can be expensive and/or time-consuming. In this case, the use of a surrogate model (metamodel) is suggested. These metamodels are simpler models, which represent a valid approximation of the original simulator and usually are statistical interpolators built from the simulated input-output data. Predictions at untried experimental points can then be made by metamodels, and optimization techniques can be applied in order to find best settings. The aim of this presentation is to give an overview of computer experiments techniques through the description of main concepts and meaningful examples.
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