Fasano Giovanni 's
home page
M. Eng, Ph.D. (Operations Research)
Assistant ProfessorDepartment of Management
Phone: +39-0412346922
University of Venice "Ca' Foscari"
San Giobbe, Cannaregio 873,
30121 Venice, Italy
Fax: +39-0412347444
TEACHING (Italian):
Officina Tesi Triennali: Presentazione del 01/12/2009
INSEGNAMENTO PERIODO RICEVIMENTO / NOTIZIE
Prima di svolgere l'esame è indispensabile leggere le seguenti NOTE. Inoltre, tutte le informazioni relative al corso, incluso:
sono reperibili sul sito del corso. Il docente ha inoltre svolto le lezioni usando il seguente materiale integrativo:
A.A. 2011-2012
IV periodo
(19/03/2012 - 21/04/2012)
giovedì 08.30-11.00, Aula F
venerdì 08.30-11.00, Aula F
Appelli di esame (date indicative):
18 / 05 / 2012
08 / 06 / 2012Dal giorno 01/05/2012 il ricevimento studenti verrà svolto a richiesta degli studenti, utilizzando l'indirizzo di Email: fasano@unive.it per concordare l'orario con il docente.
AVVISO IMPORTANTE: si rammenta che nella sala calcolo presso la quale verrà svolta la prova orale, sui PC è installato Office 2003. Gli studenti possono svolgere la prova con il proprio laptop, ma quest'ultimo dovrà essere immediatamente operativo quando lo studente sarà chiamato. Inoltre, il giorno prima della prova orale, il docente provvederà a scaglionare i nominativi degli studenti, differenziandoli per giorno e/o fascia oraria nel quale presentarsi. Le informazioni saranno pubblicate su questo sito.
Modelli e Metodi per l'Organizzazione dei
Sistemi Logistici (a.a. 2010-2011)
G.Ghiani, R.Musmanno, Modelli e metodi
- Programma: Programma 2010-2011
- Modalità d'esame: prova orale + prove integrative
- Dispense: sono in parte reperibili sul sito DMA
- Dispensa a.a. 2010-2011
- Dispensa Complessità a.a. 2010-2011
- Dispensa RO1 PL & grafi
- Dispensa RO2 logistica
- Libri di testo: il libro di testo del corso è
per l'organizzazione dei sistemi logistici,
Ed. Pitagora (Bologna)
A.A. 2010-2011
IV periodo
Si ricorda che dal giorno 30/06/2011 il ricevimento viene svolto per appunta- mento, a richiesta degli studenti.
Mathematics - 2 (a.y. 2011-2012)
Program (last update 13-12-2011) : Program 2011-2012
Simulated Exam with solution (last update 21-12-2011):
Material for the exam:
Reference [II]
Reference [III]
Reference [IV]
Homeworks (last update 13-12-2011): Homeworks
Remark: Giovanni Fasano has not the permission to modify the account of 'Mathematics' on the E-Learning platform, due to last time arrengements of the Ca' Foscari University. Thus, all the communication with students will be throughout this webpage.
A.Y. 2011-2012
II period
IMPORTANT NOTICE: Since February 1st the grades relative to the calls of January 9th and January 24th, 2012 will be registered exclusively by Prof. Andrea Collevecchio. Students are invited to contact him for a date.
IMPORTANT NOTICE: we recall that the homeworks given during the lessons are not exhaustive. Students are invited to consider the other exercises and examples in the references [I],[II],[II],[IV].
Ricerca Operativa (a.a. 2010-2011)
Programma esame: Programma 2010-2011
Modalità d'esame: prova orale
Dispense: sono in parte reperibili sul sito DMA. Parte del
corso adotta le dispense del docente:
Dispensa a.a. 2010-2011
RO_Treviso
Materiale integrativo: Software per la programmazioneAmplMan2
matematica, si consiglia di considerare le dispense:
A.A. 2010-2011
III periodo
Si ricorda che dal giorno 02/03/2011 il
ricevimento viene svolto per appunta-
mento, a richiesta degli studenti.
GENERAL RESEARCH INTERESTS:
- Unconstrained Optimization,
- Nonlinear Least Squares,
- Global Optimization,
- Neural Networks,
- Derivative-free Optimization.
CURRENT INTERESTS:
- Conjugate Gradient Schemes,
- Iterative Methods for Indefinite and Singular Linear Systems,
- Model-based Derivative-free Optimization,
- Multidisciplinary Optimization,
- Evolutionary Algorithms.
WORKING GROUPS:
- Nonlinear Programming at the Dipartimento di Informatica, Automatica e Gestionale 'A. Ruberti', Rome, Italy.
- Optimization & Operations Research at the Istituto di Analisi dei Sistemi ed Informatica 'A. Ruberti' (IASI) - CNR, Rome, Italy.
- Hydrodynamic Resistance of Ships & Optimization at The Italian Ship Model Basin (INSEAN), Rome, Italy.
RECENT PAPERS:
Papers on International Journals:
- Hydroelastic optimization of a keel fin of a sailing boat: a multidisciplinary robust formulation for ship design, M.Diez, D.Peri, G.Fasano, E.F.Campana, Structural and Multidisciplinary Optimization, 2012, DOI: 10.1007/s00158-012-0783-7.
- Preconditioning Large Indefinite Linear Systems, G.Fasano, M.Roma, accepted for publication on SQU Journal for Science (ISSN 1027-524X), 2011.
- Penalty Function approaches for Ship Multidisciplinary Design Optimization (MDO), E.F.Campana, G.Fasano, D.Peri, accepted for publication on European Journal of Industrial Engineering, 2011.
- Globally convergent modifications of Particle Swarm Optimization for Unconstrained Optimization, E. F.Campana, G.Fasano, D.Peri, book chapter in Particle Swarm Optimization: Theory, Techniques and Applications, Nova Publishers, Series: Advances in Engineering Mechanics (Series Editor: Dr. Bohua Sun), ISBN: 978-1-61668-527-0, 2011.
- Methods for large scale unconstrained optimization, G.Fasano, Section 1.2.1.8 for Wiley Encyclopedia of Operations Research and Management Science, James J. Cochran (Editor-in-Chief), Sherry Wasserman Editorial Assistant, John Wiley & Sons, Inc., NJ, ISBN: 978-0-470-40063-0, hardcover, 2010.
- Dynamic system analysis for the selection of parameters and initial population, in Particle Swarm Optimization, E. F.Campana, G.Fasano, A.Pinto, Journal of Global Optimization, vol. 48(3), pp. 347 - 397. DOI: 10.1007/s10898-009-9493-0, 2010.
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization, G.Fasano, S.Lucidi, Optimization Letters, Vol. 3, no. 4, pp. 521 - 535, DOI10.1007/s11590-009-0132-y, 2009.
A Modified Galam's Model for Word-of-Mouth Information Exchange, A.Ellero, G.Fasano, A.Sorato, Physica A: Statistical Mechanics and its Applications, Vol. 388, no. 18, pp. 3901 - 3910, DOI 10.1016/j.physa.2009.06.002, 2009.
On the Geometry Phase in Model-Based Algorithms for Derivative-Free Optimization, G. Fasano, J. L. Morales, J. Nocedal, Optimization Methods and Software, Vol. 24, n. 1, pp. 145 - 154, DOI: 10.1080/10556780802409296, 2009.
Iterative Computation of Negative Curvature Directions in Large Scale Optimization, G.Fasano, M.Roma, Computational Optimization and Applications, Vol. 38, n. 1, pp. 81 - 104, DOI: 10.1007/s10589-007-9034-z, 2007.
Lanczos-Conjugate Gradient method and pseudoinverse computation, on indefinite and singular systems, G.Fasano, Journal of Optimization Theory and Applications, Vol. 132, n. 2, pp. 267 - 285, DOI: 10.1007/s10957-006-9119-3, 2007.
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems, G.Fasano, F.Lampariello, M.Sciandrone, Computational Optimization and Applications, Vol. 34, n. 3, pp. 343 - 358, DOI: 10.1007/s10589-006-6444-2, 2006.
- Planar-Conjugate Gradient algorithm for Large Scale Unconstrained Optimization, Part I: Theory, G.Fasano, Journal of Optimization Theory and Applications, Vol. 125, n. 3, pp. 523 - 541, 2005.
Planar-Conjugate Gradient algorithm for Large Scale Unconstrained Optimization, Part 2: Application, G.Fasano, Journal of Optimization Theory and Applications, Vol. 125, n. 3, pp. 543 - 558, 2005.
Conjugate Gradient (CG)-type Method for the Solution of Newton's equation within Optimization Frameworks, G.Fasano, Optimization Methods and Software, Vol. 19, n. 3-4, pp. 267 - 290, 2004.
Papers under Peer-Revision:
- Preconditioning Newton--Krylov Methods in Non-Convex Large Scale Optimization, G.Fasano, M.Roma, submitted to Computational Optimization and Applications, 2009.
- Quasi-Newton updates for Preconditioned Nonlinear Conjugate Gradient methods, G.Fasano, M.Roma, submitted to 'Quaderni di Matematica' series, Dipartimento di Matematica, II Università di Napoli, 2011.
- Particle Swarm Optimization with non-smooth penalty reformulation for a complex portfolio selection problem, M.Corazza, G.Fasano, R.Gusso, submitted to Applied Mathematics and Computation, 2011.
Other Peer Reviewed Papers
Portfolio Selection with an Alternative Measure of Risk: Computational Performances of Particle Swarm Optimization and Genetic Algorithms, M.Corazza, G.Fasano, R.Gusso, Mathematical and Statistical Methods for Actuarial Sciences and Finance, XII, 2011, pp. 1-408, Perna, Cira; Sibillo, Marilena (Eds.), Hardcover, ISBN 978-88-470-2341-3 (refereed volume).
Multidisciplinary Robust Optimization for Ship Design, M.Diez, D.Peri, G.Fasano, E.F.Campana, 28th Symposium on Naval Hydrodynamics, Pasadena, California, 12-17 September 2010 (refereed paper).
Nonlinear Programming Approaches in the Multidisciplinary Design Optimization of a Sailing Yacht Keel Fin, E.F.Campana, G.Fasano, D.Peri, A.Pinto, 9th International Conference on Numerical Ship Hydrodynamics, Ann Arbor, Michigan, August 5-8, 2007 (refereed volume).
Particle Swarm Optimization: efficient globally convergent modifications, E. F.Campana, G.Fasano, D.Peri, A.Pinto, III European Conference On Computational Mechanics - Solids, Structures and Coupled Problems in Engineering, Lisbon 05-09/06/2006 (refereed volume).
Dynamic system analysis and initial particles position in Particle Swarm Optimization, E.F.Campana, G.Fasano, A.Pinto, IEEE Swarm Intelligence Symposium 2006, Indianapolis 12-14/05/2006 (refereed volume).
Issues on Nonlinear Programming for Multidisciplinary Design Optimization (MDO) in Ship Design Framework, E.F.Campana, G.Fasano, D.Peri, 8th Numerical Towing Tank Symposium (NuTTS '05), Varna, Bulgaria 2-4 October 2005 (invited lecture on conference volume).
Planar-CG methods and Matrix Tridiagonalization in Large scale Unconstrained Optimization, G.Fasano, in High Performance Algorithms and Software for Nonlinear Optimization, G. Di Pillo and A. Murli, Eds., Kluwer Academic Publishers, pp. 243-263, 2003 (refereed volume).
Use of Conjugate Directions inside Newton-type Algorithms for Large Scale Unconstrained Optimization,G.Fasano, PhD final dissertation in Operations Research, XIII course.
Other Papers:
- Particle Swarm Optimization with non-smooth penalty reformulation for a complex portfolio selection problem, M.Corazza, G.Fasano, R.Gusso, Working Paper n.10/2011, Dept. of Economics, Venice, ISSN: 1827/3580, Italy.
- A class of preconditioners for large indefinite linear systems, as by-product of Krylov subspace methods: Part I, G. Fasano, M. Roma,Working Paper n. 4/2011, June 2011, Dept. of Management, Venice, ISSN: 2239-2734.
- A class of preconditioners for large indefinite linear systems, as by-product of Krylov subspace methods: Part II, G. Fasano, M. Roma,Working Paper n. 5/2011, June 2011, Dept. of Management, Venice, ISSN: 2239-2734.
- A Modified Galam's Model , A.Ellero, G.Fasano, A.Sorato, Working Paper n. 180/2008, November 2008, Venice, ISSN: 1828-6887.
- Notes on a 3-term Conjugacy Recurrence for the Iterative Solution of Symmetric Linear Systems , G.Fasano, Working Paper n. 179/2008, November 2008, Venice, ISSN: 1828-6887.
Global Optimization Algorithms in Multidisciplinary Design Optimization , D.Peri, G.Fasano, D.Dessi, E.F.Campana, 2th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 10 - 12 September 2008, Victoria, British Columbia, Canada.
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization: complete results , G. Fasano, S.Lucidi, Technical Report INSEAN 2008-035/rt.
Preconditioning Newton–Krylov methods in nonconvex large scale optimization , G. Fasano, M. Roma, Technical Report DIS 01-2007, Italy.
On the iterative computation of a l2-norm scaling based preconditioner, G. Fasano, M. Roma, Technical Report INSEAN 2007-002, Italy.
- An approximate inverse preconditioner in truncated Newton methods for large scale optimization, G. Fasano, M. Roma, Communications to SIMAI Congress, Vol. 1, 2006, DOI: 10.1685/CSC06076, ISSN 1827-9015 (refereed communication), Italy.
- An approximate inverse preconditioner in truncated Newton methods for large scale optimization, G. Fasano, M. Roma, Communications to SIMAI Congress, Vol. 1 (2006), DOI: 10.1685/CSC06076, ISSN 1827-9015, Italy.
Particle Swarm Optimization: dynamic system analysis for parameter selection in global optimization frameworks, E.F.Campana, G.Fasano, A.Pinto, Technical Report INSEAN 2005-023, Italy.
Iterative Computation of Negative Curvature Directions in Large Scale Optimization: Theory and Preliminary Numerical results, G.Fasano, M.Roma, Technical Report DIS 12-2005, Italy.
Planar-Conjugate Gradient algorithm for Large Scale Unconstrained Optimization, Part I: Theory, G.Fasano, Technical Report INSEAN 2004-015, Italy.
Lanczos-Conjugate Gradient method and pseudoinverse computation, in unconstrained optimization, G.Fasano, Technical Report INSEAN 2004-036, Italy.
This site is still under construction, for any comments contact fasano(at)unive(dot)it Last update December 5th,2011.