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Dive into the research topics where Giuseppe Izzo is active.

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Featured researches published by Giuseppe Izzo.


Journal of Difference Equations and Applications | 2012

Global dynamics of difference equations for SIR epidemic models with a class of nonlinear incidence rates

Yoichi Enatsu; Yukihiko Nakata; Yoshiaki Muroya; Giuseppe Izzo; Antonia Vecchio

In this paper, by applying a variation of the backward Euler method, we propose a discrete-time SIR epidemic model whose discretization scheme preserves the global asymptotic stability of equilibria for a class of corresponding continuous-time SIR epidemic models. Using discrete-time analogue of Lyapunov functionals, the global asymptotic stability of the equilibria is fully determined by the basic reproduction number , when the infection incidence rate has a suitable monotone property.


Discrete Dynamics in Nature and Society | 2009

A General Discrete Time Model of Population Dynamics in the Presence of an Infection

Giuseppe Izzo; Yoshiaki Muroya; Antonia Vecchio

We present a set of difference equations which generalizes that proposed in the work of G. Izzo and A. Vecchio (2007) and represents the discrete counterpart of a larger class of continuous model concerning the dynamics of an infection in an organism or in a host population. The limiting behavior of this new discrete model is studied and a threshold parameter playing the role of the basic reproduction number is derived.


Journal of Computational and Applied Mathematics | 2010

General linear methods for Volterra integral equations

Giuseppe Izzo; Z. Jackiewicz; Eleonora Messina; Antonia Vecchio

We investigate the class of general linear methods of order p and stage order q=p for the numerical solution of Volterra integral equations of the second kind. Construction of highly stable methods based on the Schur criterion is described and examples of methods of order one and two which have good stability properties with respect to the basic test equation and the convolution one are given.


Journal of Scientific Computing | 2017

Accurate Implicit---Explicit General Linear Methods with Inherent Runge---Kutta Stability

Michał Braś; Giuseppe Izzo; Z. Jackiewicz

We investigate implicit–explicit (IMEX) general linear methods (GLMs) with inherent Runge–Kutta stability (IRKS) for differential systems with non-stiff and stiff processes. The construction of such formulas starts with implicit GLMs with IRKS which are A- and L-stable, and then we ‘remove’ implicitness in non-stiff terms by extrapolating unknown stage derivatives by stage derivatives which are already computed by the method. Then we search for IMEX schemes with large regions of absolute stability of the ‘explicit part’ of the method assuming that the ‘implicit part’ of the scheme is


Journal of Scientific Computing | 2015

Strong Stability Preserving General Linear Methods

Giuseppe Izzo; Z. Jackiewicz


Mathematical Modelling and Analysis | 2015

Strong Stability Preserving Multistage Integration Methods

Giuseppe Izzo; Z. Jackiewicz

A(\alpha )


Journal of Computational and Applied Mathematics | 2014

Construction of algebraically stable DIMSIMs

Giuseppe Izzo; Z. Jackiewicz


NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2 | 2009

Highly Stable General Linear Methods for Differential Systems

R. D’Ambrosio; Giuseppe Izzo; Z. Jackiewicz

A(α)-stable for some


Numerical Algorithms | 2014

Natural Volterra Runge-Kutta methods

Dajana Conte; Giuseppe Izzo; Z. Jackiewicz


Computers & Mathematics With Applications | 2012

Perturbed MEBDF methods

Giuseppe Izzo; Z. Jackiewicz

\alpha \in (0,\pi /2]

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Z. Jackiewicz

AGH University of Science and Technology

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Yukihiko Nakata

Basque Center for Applied Mathematics

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Anna d’Elia

University of Naples Federico II

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Eleonora Messina

University of Naples Federico II

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Luana Vessicchio

University of Naples Federico II

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Michał Braś

AGH University of Science and Technology

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