Mercoledi' 5 Dicembre 2018 alle ore 15 precise, presso la sala conferenze dell’IMATI-CNR di Pavia, il

Dr. Mikael Laaksonen, Aalto University, Finlandia

terrà un seminario dal titolo:

Stochastic collocation methods for multiparametric eigenvalue problems

nell'ambito del Seminario di Matematica Applicata (IMATI-CNR e Dipartimento di Matematica, Pavia),

http://matematica.unipv.it/it/seminari-matematica-applicata

Al termine della conferenza sarà organizzato un piccolo rinfresco.

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Abstract.
Real-life engineering problems are often subject to significant parameter uncertainties. Including such uncertainties in the underlying mathematical model results in a multiparametric problem, in which the stochastic dimension of the system is approximated by a finite, but possibly large, number of parameters. Sparse stochastic collocation algorithms may then be used to resolve the dependence of the solution on the input parameters. Optimal rates of convergence are observed when the solution depends analytically on the input parameters. In the case of eigenvalue problems special care must be taken in order to make solutions corresponding to different parameter values comparable.