activity
20162023
most citedOn the stability of network indices defined by means of matrix functions

15 citations · 34 across the 12 of their papers we have counts for

collaborators

13 papers

math.NA2023★ 1 cited

A new fast numerical method for the generalized Rosen-Zener model

Christian Bonhomme, Stefano Pozza, Niel Van Buggenhout

In quantum mechanics, the Rosen-Zener model represents a two-level quantum system. Its generalization to multiple degenerate sets of states leads to larger non-autonomous linear sy…

math.NA2023

A new Legendre polynomial-based approach for non-autonomous linear ODEs

Stefano Pozza, Niel Van Buggenhout

We introduce a new method with spectral accuracy to solve linear non-autonomous ordinary differential equations (ODEs) of the kind $ \frac{d}{dt}\tilde{u}(t) = \tilde{f}(t) \tilde{…

math.NA2023

A new closed-form expression for the solution of ODEs in a ring of distributions and its connection with the matrix algebra

Stefano Pozza

A new expression for solving homogeneous linear ODEs based on a generalization of the Volterra composition was recently introduced. In this work, we extend such an expression, show…

math.NA2022

A new matrix equation expression for the solution of non-autonomous linear systems of ODEs

Stefano Pozza, Niel Van Buggenhout

The solution of systems of non-autonomous linear ordinary differential equations is crucial in a variety of applications, such us nuclear magnetic resonance spectroscopy. A new met…

math.NA2022

The *-product approach for linear ODEs: a numerical study of the scalar case

Stefano Pozza, Niel Van Buggenhout

Solving systems of non-autonomous ordinary differential equations (ODE) is a crucial and often challenging problem. Recently a new approach was introduced based on a generalization…

math.NA2022

A -product solver with spectral accuracy for non-autonomous ordinary differential equations

Stefano Pozza, Niel Van Buggenhout

A new method for solving non-autonomous ordinary differential equations is proposed, the method achieves spectral accuracy. It is based on a new result which expresses the solution…

math.NA2022

A Lanczos-type procedure for tensors

S. Cipolla, S. Pozza, M. Redivo-Zaglia +1

The solution of linear non-autonomous ordinary differential equation systems (also known as the time-ordered exponential) is a computationally challenging problem arising in a vari…

math.NA2021

The Short-term Rational Lanczos Method and Applications

Davide Palitta, Stefano Pozza, Valeria Simoncini

Rational Krylov subspaces have become a reference tool in dimension reduction procedures for several application problems. When data matrices are symmetric, a short-term recurrence…

math.NA2019★ 10 cited

Lanczos-like algorithm for the time-ordered exponential: The -inverse problem

Pierre-Louis Giscard, Stefano Pozza

The time-ordered exponential of a time-dependent matrix is defined as the function of that solves the first-order system of coupled linear different…

math.NA2019★ 7 cited

A Lanczos-like method for non-autonomous linear ordinary differential equations

Pierre-Louis Giscard, Stefano Pozza

The time-ordered exponential is defined as the function that solves a system of coupled first-order linear differential equations with generally non-constant coefficients. In spite…

math.NA2019★ 1 cited

The Gauss quadrature for general linear functionals, Lanczos algorithm, and minimal partial realization

Stefano Pozza, Miroslav S. Pranić

The concept of Gauss quadrature can be generalized to approximate linear functionals with complex moments. Following the existing literature, this survey will revisit such generali…

math.NA2017★ 15 cited

On the stability of network indices defined by means of matrix functions

Stefano Pozza, Francesco Tudisco

Identifying important components in a network is one of the major goals of network analysis. Popular and effective measures of importance of a node or a set of nodes are defined in…

math.NA2016

Inexact Arnoldi residual estimates and decay properties for functions of non-Hermitian matrices

Stefano Pozza, Valeria Simoncini

We derive a priori residual-type bounds for the Arnoldi approximation of a matrix function and a strategy for setting the iteration accuracies in the inexact Arnoldi approximation…