Gianni Di Pillo

Professore ordinario


dipillo@diag.uniroma1.it
Stanza: A101
Tel: +39 0677274077
Fax: +39 0677274074
Biografia: 

Gianni Di Pillo (Rome, Italy, 1942) is Professor of  Optimization in the Faculty of Engineering of the University of Rome "La Sapienza", where he teaches basic and advanced courses in Optimization for the degrees in Engineering Management.

His research activity is carried out in the Department of Computer Control and Management Engineering, a leading research and teaching institution in Italy, with a staff of more than 65 professors and researchers. In 1994 he was elected Director of the Department, and he was in this charge uninterruptedly until 2006.
His main research interests are in the field of Optimization, with an emphasis  on Nonlinear Programming theory and algorithms. Among his contributions, a theory of exact penalization, aiming to transform a constrained optimization problem into an equivalent unconstrained optimization problem, with several algorithmic implementations; smooth methods for the non-smooth mini-max problem; and global optimization methods for highly expensive objective functions. Applications have been in the railway yield management, in the management of steam production, in the parametric estimation of astrophysics systems, in sales forecasting, in the design of microelectronics devices. His research results are published in more then one hundred papers in international journals and edited proceedings. 
Since 1984 up to 2010 he has been principal investigator of  national research programs on Optimization Theory and Algorithms, carried out jointly by several research groups of Italian Universities.
He is Associate Editor of Journal of Optimization Theory and Applications,  Journal of Global Optimization, Computational Optimization and Applications, Journal of Industrial Management and Optimization, Optimization Letters, International Journal of Optimization Theory, Methods and Applications, 4OR Journal of Operations Research.
He is the Director of the Workshops on Nonlinear Optimization organized every three years since 1995 at the International School of Mathematics "G. Stampacchia" of the Majorana Centre for Scientific Culture in Erice.
Pubblicazioni: 

25 selected publications

1) BRUNI C., DI PILLO G., KOCH G. (1971). On the mathematical models of bilinear systems. RICERCHE DI AUTOMATICA, vol. 2; p. 11–26.

2) BRUNI C., DI PILLO G., KOCH G. (1974). Bilinear systems: an appealing class of "nearly linear'' systems in theory and applications. IEEE TRANS. AUTOMATIC CONTROL, vol. AC-19; p. 334–348.

3) DI PILLO G., GRIPPO L. (1979). A new class of augmented Lagrangians in nonlinear programming. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 17; p. 618-628.

4) DI PILLO G., GRIPPO L., LAMPARIELLO L. (1979). The multiplier method for optimal control problems of parabolic systems. APPLIED MATHEMATICS AND OPTIMIZATION, vol. 5; p. 253-269.

5) DI PILLO G., GRIPPO L. (1985). A continuously differentiable exact penalty function for  nonlinear programming problems with inequality constraints. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 23.

6) DI PILLO G., GRIPPO L. (1986). An exact penalty function method with global convergence properties for nonlinear programming problems. MATHEMATICAL PROGRAMMING, vol. 36; p. 1-18.

7) DI PILLO G., GRIPPO L. (1988). On the exactness of a class of nondifferentiable penalty functions. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 57; p. 399-410.

8) DI PILLO G., GRIPPO L. (1989). Exact penalty functions in constrained optimization. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 27; p. 1333-1360.

9) DI PILLO G., FACCHINEI F., GRIPPO L. (1992). An RQP algorithm using a differentiable exact penalty function for inequality constrained problems. MATHEMATICAL PROGRAMMING, vol. 55; p. 49-68.


10) DI PILLO G., GRIPPO L., LUCIDI S. (1993). A smooth method for the finite minimax problem. MATHEMATICAL PROGRAMMING, vol. 60; p. 187-214.

11) DI PILLO G., LUCIDI S., PALAGI L. (1993). An exact penalty-Lagrangian approach for a class of constrained optimization problems with bounded variables. OPTIMIZATION, vol. 28; p. 129-148.

12) DI PILLO G. (1994). Exact penalty methods. In: SPEDICATO E.. Algorithms for Continuous Optimization: the State of the Art. (p. 209-253). DORDRECHT: Kluwer Academic Publishers.

13) DI PILLO G., FACCHINEI F. (1995). Exact barrier function methods for Lipschitz programs. APPLIED MATHEMATICS AND OPTIMIZATION, vol. 32; p. 1-31.

14) DI PILLO G., GRIPPO L., LUCIDI S. (1997). A smooth transformation of the generalized minimax problem. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 95; p. 1-24.

15) BRACHETTI P., DE FELICE CICCOLI M., DI PILLO G., LUCIDI S. (1997). A new version of the Price's algorithm for global optimization. JOURNAL OF GLOBAL OPTIMIZATION, vol. 10; p. 165-184.

16) DEMYANOV V. F., DI PILLO G., FACCHINEI F. (1998). Exact penalization via Dini and Hadamard conditional derivatives. OPTIMIZATION METHODS & SOFTWARE, vol. 9; p. 19-36.

17) DI PILLO G., LUCIDI S., PALAGI L. (1999). A shifted barrier primal-dual algorithm model for linearly constrained optimization problems. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 12; p. 157-188.

18) DI PILLO G., LUCIDI S., PALAGI L. (2000). A superlinearly convergent primal-dual algorithm model for constrained optimization problems with bounded variables. OPTIMIZATION METHODS & SOFTWARE, vol. 14; p. 49-73.

19) DI PILLO G., LUCIDI S. (2002). An augmented Lagrangian function with improved exactness properties. SIAM JOURNAL ON OPTIMIZATION, vol. 12; p. 376-406.

20) DI PILLO G., PALAGI L. (2002). Nonlinear Programming: Introduction, Unconstrained NLP, Constrained NLP. In: PARDALOS P., RESENDE M. Handbook of Applied Optimization. (p. 263-298). NEW YORK: Oxford University Press.

21) DI PILLO G., LIUZZI G., LUCIDI S., PALAGI L. (2003). An exact augmented Lagrangian function for nonlinear programming with two-sided constraints. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 25; p. 57-83.

22) DI PILLO G., LUCIDI S., PALAGI L. (2005). Convergence to second-order stationary points of a primal-dual algorithm model for Nonlinear Programming. MATHEMATICS OF OPERATIONS RESEARCH, vol. 30; p. 897-915.

23) DI PILLO G., LIUZZI G., LUCIDI S., PALAGI L. (2010). A truncated Newton method in an augmented Lagrangian framework for nonlinear programming.  COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 45; p. 311-352.

24) DI PILLO G., LUCIDI S., RINALDI F. (2012). An approach to constrained global optimization based on exact penalty functions. JOURNAL OF GLOBAL OPTIMIZATION, vol. 54; p.251-260.

25) DE SANTIS M., DI PILLO G., LUCIDI S. (2012). An active set feasible method for large-scale minimization problems with bound constraints. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 53; p. 395-423.

 
 

 

Riconoscimenti e premi: 

Membro onorario dell'AIRO, Associazione Italiana Ricerca Operativa

Area di ricerca: 
Ottimizzazione continua
Interessi di ricerca: 

Continuous nonlinear optimization, penalty and augmented Lagrangian methods, global optimization, applications of optimization in engineering design.