Articolo in rivista

Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations

In this paper, we discuss the convergence of an Algebraic MultiGrid (AMG) method for general symmetric positive-definite matrices. The method relies on an aggregation algorithm, named coarsening based on compatible weighted matching, which exploits the interplay between the principle of compatible…

Metabolic disorders: How can systems modelling help?

Abstract

Splitting schemes and energy preservation for separable Hamiltonian systems

It is known that symplectic algorithms do not necessarily conserve energy even for the harmonic oscillator. However, for separable Hamiltonian systems, splitting and composition schemes have the advantage to be explicit and can be constructed to preserve energy. In this paper we describe and test…

Spin-rotation couplings: spinning test particles and Dirac field

Penalized wavelet nonparametric univariate logistic regression for irregular spaced data

This paper concerns the study of a non-smooth logistic regression function. The focus is on a high-dimensional binary response case by penalizing the decomposition of the unknown logit regression function on a wavelet basis of functions evaluated on the sampling design. Sample sizes are arbitrary (…

On the measurement of vortex filament lifetime statistics in turbulence

A numerical study of turbulence seeded with light particles is presented. We analyze the statistical properties of coherent, small-scale structures by looking at the trapping events of light particles inside vortex filaments. We study the properties of particles attracting set, measuring its…

Behaviour of Hourly Solar Irradiance in the Italian Climate

A general class of finite-difference methods for the linear transport equation

A Bayesian method for multispectral image data classification

The problem of classifying multispectral image data is studied here. We propose a new Bayesian method for this. The method uses "a priori" spatial information modeled by means of a suitable Markov random field. The image data for each class are assumed to be i.i.d. following a multivariate Gaussian…

Front Propagation in Stirred Media

The problem of asymptotic features of front propagation in stirred media is addressed for laminar and turbulent velocity fields. In particular we consider the problem in two dimensional steady and unsteady cellular flows in the limit of very fast reaction and sharp front, i.e., in the geometrical…