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Computational non-commutative geometry for materials science: The example of multilayer 2D materials

Abstract: Descrizione:Computational non-commutative geometry for materials science: The example of multilayer 2D materials After recalling the standard mathematical formalism used to model disordered ...

Adaptive Filtered Schemes for first order Hamilton-Jacobi equations

The accurate numerical solution of Hamilton-Jacobi equations is a challenging topic of growing importance in many fields of application but due to the lack of regularity of viscosity solutions the con...

Modelli variazionali per singolarità topologiche e applicazioni ai policristalli e alla loro evoluzione

In questo seminario presenterò alcuni risultati, ottenuti negli ultimi anni, riguardanti modelli variazionali per singolarità topologiche in due dimensioni e per flussi geometrici di tipo locale e non...

Image denoising techniques for astronomical images

The goal of image denoising algorithms is to reduce the contribution of the observational noise intrinsic to the images, preserving information (e.g. small sources, morphological details etc.). State-...

The physics of glasses form the viewpoint of theoretical physicists

Abstract: Glassy materials are characterized by being solid (for all practical purpose) at low temperature in absence of a sharp transition from the liquid phase to the solid state.  They are ubi...

Multi-view shape-from-shading

A way to overcome the concave/convex ambiguity of shape-from-shading (SfS) is to use several images of an object taken from different viewpoints, instead of a single one. A computer vision pipeline co...

Depth map super-resolution from shading

Super-resolution is one of the most classical inverse problems in computer vision. Given one low-resolution and possibly noisy input image, it aims at estimating a higher-resolution and denoised image...

Preconditioning semismooth Newton methods for optimal control problems with L^1-sparsity and control constraints

PDE-constrained optimization aims at finding optimal setups for partial differential equations so that relevant quantities are minimized. Including sparsity promoting terms in the formulation of such ...