Articolo in rivista

Poisson approximation of point processes with stochastic intensity, and application to nonlinear Hawkes processes

We give a general inequality for the total variation distance between a Poisson distributed random variable and a first order stochastic integral with respect to a point process with stochastic intensity, constructed by embedding in a bivariate Poisson process. We apply this general inequality to…

Lagrangian Numerical Approximations to One-Dimensional Convolution-Diffusion Equations

This work focuses on the numerical analysis of one-dimensional nonlinear diffusion equations involving a convolution product. First, homogeneous friction equations are considered. Algorithms follow recent ideas on mass transportation methods and lead to simple schemes which can be proved to be…

Methylation data imputation performances under different representations and missingness patterns

Background: High-throughput technologies enable the cost-effective collection and analysis of DNA methylation data throughout the human genome. This naturally entails missing values management that can complicate the analysis of the data. Several general and specific imputation methods are suitable…

Tecnologia per simulazioni numeriche in biomedicina

Stability of a Kirchhoff-Roe scheme for two-dimensional linearized Euler systems

By applying Helmholtz decomposition, the unknowns of a linearized Euler system can be recast as solutions of uncoupled linearwave equations. Accordingly, the Kirchhoff expression of the exact solutions is recast as a time-marching, Lax-Wendroff type, numerical scheme for which consistency with one-…

Coupling quadrature and continuous Runge-Kutta methods for optimal control problems

This paper deals with the numerical solution of optimal control problems for ODEs. The approach is based on the coupling between quadrature rules and continuous Runge-Kutta solvers and it lies in the framework of direct optimization methods and recursive discretization techniques. The…

Enhanced modularity-based community detection by random walk network preprocessing

The representation of real systems with network models is becoming increasingly common and critical to both capture and simplify systems' complexity, notably, via the partitioning of networks into communities. In this respect, the definition of modularity, a common and broadly used quality measure…

Anisotropic Diffusion and Curve Evolution for Segmentation of Color Images in Cultural Heritage

Effect of perturbation in the numerical solution of fractional differential equations

The equations describing engineering and real-life models are usually derived in an approximated way. Thus, in most cases it is necessary to deal with equations containing some kind of perturbation. In this paper we consider fractional dfferential equations and study the eects on the continuous and…

Lattice Boltzmann for quantum field theory