The talk presents an overview of selected results regarding recent achievements in the field of structure-preserving numerical integration of deterministic and stochastic differential equations. The p...
In questo seminario presento uno schema numerico per un sistema di equazioni di Fokker-Planck-Kolmogorov, in cui la dipendenza dei coefficienti è non lineare e non locale rispetto alle incognite. Lo s...
The talk presents a generalization of the Hough transform (HT) to special classes of curves: recently, algebraic geometry arguments have been applied to generalize the HT approach to algebraic curves....
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 ...
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...
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...
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 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...
We introduce a macroscopic model for a network of conveyor belts with various speeds and capacities. In a different way from traffic flow models, the product densities are forced to move with a consta...
In questo seminario presenterò problemi di propagazione di onde in domini illimitati bi e tridimensionali. Per la risoluzione di tali problemi mediante metodi FEM, considererò una condizione non rifle...
