RICERCA ITALIANA     

FIRB simili:

• 1 - METODI AVANZATI DI PREVISIONE E DI OTTIMIZZAZIONE DELLA DISTRIBUZIONE DI CAMPO ELETTROMAGNETICO PER SISTEMI DI TELEFONIA CELLULARE GSM ED UMTS IN AMBIENTE URBANO
• 2 - Metodi innovativi per il modellamento e la progettazione di dispositivi e sottosistemi avanzati a radiofrequenza per comunicazioni multimediali

Classificazione scientifico-disciplinare

• Area scientifico disciplinare: Scienze matematiche e informatiche
  • RICERCA OPERATIVA
• Area scientifico disciplinare: Ingegneria industriale e dell'informazione
  • FLUIDODINAMICA
  • SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Classificazione brevettuale

• PHYSICS
  • COMPUTING; CALCULATING; COUNTING (score computers for games A63; combinations of writing applicances with computing devices B43K29/08)
    • COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS [N0004]

Classificazione geografica

• Regione: Lazio

Bibliografia

* INTERNATIONAL TEXTBOOKS
[1] M. S. Bazaraa, H. D. Sherali, C. M. Shetty. Nonlinear Programming - Theory and Algorithms, John Wiley & Sons, 1993
[2] J. F. Bonnans, J. C. Gilbert, C. Lemarèchal, C. Sagastizábal, Optimisation Numérique: Aspects théoriques et pratiques, Springer Verlag, 1997
[3] D. P. Bertsekas, Nonlinear Programming, Athena Scientific, 1999
[4] J. Nocedal, S. J. Wright, Numerical Optimization, Springer, 1999
[5] G. Meurant, Computer solution of large linear systems, North Holland, 1999
[6] A. R. Conn, N. I. M. Gould, P. L. Toint, Trust-region methods, MPS-SIAM Series on Optimization, 2000

* EDITED VOLUMES
[7] Algorithms for continuous optimization: the state of the art, E. Spedicato ed., Kluwer Academic Publisher, 1994
[8] Variational inequalities and network equilibrium problems, F. Giannessi, A. Maugeri, Plenum Press, 1995
[9] Nonlinear optimization and applications, G. Di Pillo, F. Giannessi eds., Plenum Press, 1996
[10] Nonlinear optimization and related topics, G. Di Pillo, F. Giannessi eds., Kluwer Academic Publisher, 2000
[11] High Performance Algorithms and Software in Nonlinear Optimization, R. De Leone, A. Murli, P. Pardalos, G. Toraldo eds., Kluwer Academic Publisher, 1998

* SURVEY PAPERS
[12] J. Nocedal, Large Scale Unconstrained Optimization, In The state of the art in Numerical Analysis, A. Watson and I. Duff eds., Oxford University Press, pp. 311--338, 1997
[13] A. R. Conn, N. Gould, P.L. Toint, Large-scale nonlinear constrained optimization: a current survey, Algorithms for Continuous Optimization: the State of the Art, E. Spedicato ed., Kluwer Academic Publishers, pp. 287--332, 1994
[14] G. Di Pillo, Exact penalty methods, In Algorithms for continuous Optimization: the state of the art, E. Spedicato, ed., pp. 209-253, Kluwer Academic Publishers, 1994
[15] P.L. De Angelis, P.M. Pardalos, G. Toraldo, Quadratic programming with box constraints. In Developments in Global Optimization, I.M. Bomze et al., eds., Kluwer Academic Publishers, 1996
[16] G. Di Pillo, S. Lucidi, On exact augmented Lagrangian functions in nonlinear programming, In Nonlinear optimization and applications, G. Di Pillo, F. Giannessi eds., Plenum Press, 1996
[17] M. Gaudioso, Nonsmooth optimization, in P. Pardalos, M. Resende eds., Handbook of Applied Optimization, Oxford University Press, 2001
[18] L. Grippo, Unconstrained minimization methods for neural network training, in C. Floudas, P. Pardalos eds., Encyclopedia of Optimization, Kluwer Academic
Publishers, 2001
[19] L. Palagi, Large scale trust region problems, in C. Floudas, P. Pardalos eds., Encyclopedia of Optimization, Kluwer Academic Publishers, 2001
[20] M. Roma, Large scale unconstrained optimization, in C. Floudas, P. Pardalos eds., Encyclopedia of Optimization, Kluwer Academic Publishers, 2001
[21] G. Di Pillo, L. Palagi, Nonlinear Programming: Introduction, Unconstrained Optimization, Constrained Optimization. To appear in Handbook of Applied
Optimization, Springer Verlag, P. Pardalos and M. Resende eds., 2001
[22] F. Schoen, Two phase metods for global optimization, Handbook of Global Optimization 2: Heuristic Approaches, Pardalos, Romeijn, eds. Kluwer Academic Publisher, 2001

* PAPERS in INTERNATIONAL JOURNALS or in VOLUMES

Linear Algebra
[23] Y. Saad, H. van der Vorst, Iterative solution of linear systems in the 20-th century, J. Comp. Appl. Math., 123, pp. 1-33, 2000

Unconstrained Optimization
[24] S. Lucidi, F. Rochetich, M. Roma, Curvilinear stabilization techniques for truncated Newton methods in large scale unconstrained optimization, SIAM J. on Optimization, 8, pp. 916-939, 1998
[25] N. Gould, S. Lucidi, M. Roma, P. L. Toint, A linesearch algorithm with memory for unconstrained optimization. In High performance algorithms and software in nonlinear optimization, Kluwer Academic Publishers, R. De Leone, A. Murli, P. Pardalos, G. Toraldo eds., pp.207-223, 1998
[26] L. Grippo, M. Sciandrone, Globally convergent block-coordinate techniques for unconstrained optimization, Optimization Methods and Software, 10, pp. 587-637, 1999
[27] N. Gould, S. Lucidi, M. Roma, P. L. Toint, Exploiting negative curvature direction in linesearch methods for unconstrained optimization. Optimization Methods and Software, 14, pp.75-98, 2000

Nonsmooth optimization
[28] R. De Leone, M. Gaudioso, M.F. Monaco, Nonsmooth Optimization Methods for Parallel Decomposition of Multicommodity Flow Problems, Annals of Operations Research, 44, pp. 299-311, 1993
[29] A. Fuduli, M. Gaudioso, Fixed and virtual stability center methods for convex nonsmooth minimization, in G. Di Pillo, F. Giannessi eds., Nonlinear Optimization and Related Topics, Kluwer Academic Publishers, 2000

Constrained Optimization
[30] F. Facchinei, J. Júdice, J. Soares, An active set Newton's method for large scale nonlinear programs with box constraints, SIAM J. On Optimization, 8, pp. 158-186, 1998
[31] G. Di Pillo, S. Lucidi, L. Palagi, A shifted-barrier primal-dual algorithm model for linearly constrained optimization problems, Computational Optimization and App., 12, 1998
[32] G. Di Pillo, S. Lucidi, L. Palagi, A superlinearly convergent primal-dual algorithm for constrained optimization problems with bounded variables, Optimization Methods and Software, 1, pp. 1-25, 2000
[33] J. Moré, G. Toraldo, On the solution of quadratic programming problems with bound constraints, SIAM J. on Optimization, 1, pp. 92-113, 1991
[34] N. Gould, S. Lucidi, M. Roma, P. L. Toint, Solving the trust-region subproblem using the Lanczos method. SIAM J. On Optimization, 9, pp. 504-525, 1999
[35] S. Lucidi, L. Palagi, M. Roma, On some properties of quadratic programs with a convex quadratic constraint, SIAM J. on Optimization, 8, pp. 105-122, 1998

Global Optimization
[36] G. Di Pillo, S. Lucidi, L. Palagi, M. Roma, A controlled random search algorithm with local Newton-type search for global optimization. In High performance algorithms and software in nonlinear optimization, Kluwer Academic Publishers, R. De Leone, A. Murli, P. Pardalos e G. Toraldo eds., pp. 143-159, 1998
[37] F. Schoen, Global Optimization methods for high-dimensional problems, European Journal of Operations Research, 119, pp. 345-352., 1999
[38] Ya. D. Sergeyev, An efficient strategy for adaptive partition of N-dimensional intervals in the framework of diagonal algorithms, J. of Optimization Theory and App., 107, pp.145-168, 2000
[39] M. Locatelli, F. Schoen, Fast global optimization od difficult Lennard-Jones cluster, Computational Optimization and App., to appear

Variational Inequalities and Nonlinear Complementarity
[40] F. Facchinei, Structural and stability properties of P0 nonlinear complementarity problems, Mathematics of Operations Research , 23, 1998
[41] F. Facchinei, A. Fischer, C. Kanzow, Regularity properties of a semismooth reformulation of variational inequalities, SIAM J. on Optimization, 8, 1998
[42] F. Facchinei, H. Jiang, L. Qi, A smoothing method for mathematical programs with equilibrium constraints, Mathematical Programming, 85, pp. 107-134, 1999
[43] T. De Luca, F. Facchinei, C. Kanzow, A theoretical and numerical comparison of some semismooth algorithms for complementarity problems, Computational Optimization and App., 16, pp. 173-205, 2000
[44] M. Pappalardo, M. Passacantando, Stability for equilibrium problems: from
variational inequalities to dynamical systems, J. of Optimization Theory and App., to appear

Neural Networks
[45] L. Grippo, A class of unconstrained minimization methods for neural network training, Optimization Methods and Software, 4, pp. 135-150, 1994
[46] L. Grippo, Convergent On-Line Algorithms for Supervised Learning in Neural Networks", IEEE Trans. on Neural Networks, 6, pp. 1284-1299, 2000
[47] C. Buzzi, L. Grippo e M. Sciandrone, Convergent decomposition techniques for training RBF neural networks, Neural Computation, to appear

Parole Chiave

Ottimizzazione Nonlineare; Programmazione Nonlineare; Programmazione Quadratica; Ottimizzazione Globale; Disequazioni Variazionali; Reti neurali