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New results in differential inclusion theory

We will present a relatively new approach to differential inclusion theory that is "parametrization-free". That is, results in control theory will be described under assumptions on the Hamiltonian (an...

Approssimazioni monotone per problemi di controllo ottimo di sistemi ibridi

La nozione di sistema di controllo ibrido è stata proposta in tempi relativamente recenti per dare un quadro unificato a molti sistemi di controllo di forte interesse applicativo, caratterizzati dal f...

Optimal control of distributed parameter systems: numerical schemes for the linear case

We discuss issues concerning the numerical approximation of optimal control problems where the dynamics are governed by partial differential equations. We focus on the linear quadratic case with infin...

Variational approach to restore point-like and curve-like singularities in imaging

The talk is concerned with the analysis of a new variational model to restore point-like and curve-like singularities in biological or biomedical images. To this aim we investigate the variational pro...

A link between microscopic and macroscopic models of self-organized aggregation

In order to understand self-organized aggregation of German cockroaches which possess aggregation pheromone, we propose an individual-based model where each individual with social interaction moves by...

A finite volume approximation of a 2 Layer system for growth of sandpile based on schemes for discontinuous flux for hyperbolic conservation laws

We propose an explicit finite volume numerical scheme for a system of partial differential equations proposed in by K. P. Hadeler and C. Kuttler, a model for growing sandpiles under a vertical source ...

Numerical Methods for Hyperbolic Differential Equations for Applications in Computer Vision

After an introduction on partial differential equations (PDEs), I will visit some classic and modern problems in Computer Vision that are formulated using hyperbolic PDEs. Specifically, these are shap...

Uno schema Semi-Lagrangiano per il moto per Curvatura media e sue estensioni

Presenterò uno schema Semi-Lagrangiano per il moto per curvatura media. L'approssimazione si ottiene accoppiando un metodo stocastico per l'approssimazione delle caratteristiche, da intendersi in modo...

How to find a minimum of a multivariate convex function only by its values

Is it possible to compute effectively the minimal value of a multivariate function without computing its derivative? The general answer is "No", unless the function is convex. For convex functions one...

An efficient policy iteration algorithm for dynamic programming

Policy iteration is a well-known alternative to algorithms based on value function iterations for the solution of optimal control problems and differential games. In this talk we present a scheme for ...
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