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Seminario Matematico e Fisico di Milano
Piazza Leonardo da Vinci, 32 - 20133 Milano
Direttore: Paolo Stellari
      
Vice Direttore: Gabriele Grillo
      
Segretario: Giona Veronelli

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Emilio ACERBI , Università di Parma
Approccio geometrico-analitico a funzionali di curvatura
Lunedì 19 Ottobre 2015, ore 17:00 precise
Dipartimento di Matematica del Politecnico, Aula Consiglio 7° piano
Abstract
 
Yehuda Pinchover, Department of Mathematics, Technion, Haifa, Israel
On positive solutions of half-linear equations with the (p,A)-Laplacian and a potential in Morrey space
http://www.mate.polimi.it/smf/upload/file/allegati/Abstract_...ano_15.pdf
Martedì 13 Ottobre 2015, ore 15:00 precise
Sala Consiglio, 7 piano, Dipartimento di Matematica, Via Bonardi 9, Milano
 
Martin HAIRER, University of Warwick
Taming Infinities
Lunedì 05 Ottobre 2015, ore 16:30 precise
Dipartimento di Matematica, Via Saldini, Aula Chisini
 
Curtis T.McMullen, Harvard University
Billiards and Moduli Spaces
Martedì 30 Giugno 2015, ore 16:30
Dipartimento di Matematica, Via Saldini, Aula Chisini
 
Carola Bibiane Schoenlieb, DAMTP University of Cambridge
Learning variational regularization models for image denoising by PDE constrained optimization
http://www.damtp.cam.ac.uk/user/cbs31/Home.html
Mercoledì 17 Giugno 2015, ore 11:00 precise
Dipartimento di Matematica del Politecnico - Aula Consiglio 7° piano
Abstract
We review some recent learning approaches in variational image regularisation — in particular for variational image denoising — based on PDE constrained (also called bilevel) optimisation. Optimal solutions are typically parameters determining the type of regularisation and data discrepancy. A general type of regulariser is considered, which encompasses total variation (TV), total generalized variation (TGV) and infimal-convolution total variation (ICTV), as well as general data discrepancies encoding different noise distributions. We analyse those models for existence and structure of minimisers, as well as optimality conditions for their characterisation. Based on this information, Newton type methods are employed to solve the models numerically. The computational verification of the developed techniques will be discussed, covering instances with different type of regularisers, several noise models, spatially dependent weights and large image databases. This is joint work with Luca Calatroni, Chung Cao, Juan Carlos De los Reyes, and Tuomo Valkonen.
 
Giovanni Gallavotti, Universita' di Roma
Gruppo di rinormalizzaione, effetto Kondo e modelli gerarchici
Lunedì 15 Giugno 2015, ore 17:00 precise
Sala di Rappresentanza, Dipartimento di Matematica, Via Saldini
Abstract