Foto del docente

Daniele Ritelli

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: MAT/05 Mathematical Analysis

Curriculum vitae

Download Curriculum Vitae (.pdf 521KB )

Daniele Ritelli, Bologna, March 7th, 1960, graduated cum laude in Pure Mathematics at Bologna University on July, 17th, 1989. Thesis: Variational Methods for elliptic semilinear equations. Supervisor Ermanno Lanconelli.

 

In 1992 he becomes Contract Professor at the Statistical Science Faculty of Bologna University where he deliverd a course about the Ordinary Differential Equations and their applications to Social and Economic Sciences. Since June 1993 Lecturer at the Faculty of Economics of Bologna University. In 2003 he became Associate Professor at the Faculty of Economics of Bologna University. His relevant and actual reference board is Dipartimento di Scienze Statistiche (Bologna University). Since 2008 reviewer for American Mathematical Society. Serves as "Referee" for several international journals: among other Journal of Number Theory, Applied Mathematical Modeling, Journal of Mathematical Analysis and Applications, Journal of Inequalities and Applications, Journal of the Franklin Institute, Bulletin of Mathematical Analysis and Applications, Studia Scientiarum Mathematicarum Hungarica, Mathematics, Symmetry, Statistical Papers, European Journal of Physics, Advances in Difference Equations.

Synopsis of his research activity. Generalized Trigonometric functions. Hypergeometric functions of one and several variables. Hyperelliptic integrals. Exact solutions and Exact Approximate solutions of nonlinear ordinary differential equations and boundary value problems. Nonlinear Oscillators. Symmetries of ordinary differential equations. Mathematical modeling thorugh nonlinear ordinary differential equations (e.g. population dynamics and epidemiology) dynamical economics and growth models, economic order quantity models for inventory optimization, minimum cost model in production planning or other management models.