FASANO Giovanni

Qualifica Professore Associato
Telefono 041 234 6922
E-mail fasano@unive.it
Fax 041 234 7444
Sito web www.unive.it/persone/fasano (scheda personale)
 http://venus.unive.it/~fasano
Struttura Dipartimento di Management
Sito web struttura: https://www.unive.it/management
Sede: San Giobbe
Research Institute Research Institute for Complexity

Pubblicazioni per tipologia

Articolo su rivista
  • Andrea Caliciotti , Giovanni Fasano , Florian Potra , Massimo Roma (in corso di stampa), Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton’s equation in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. N/D (ISSN 0926-6003)
    Link DOIURL correlato Link al documento: 10278/3729359
  • Al-Baali, Mehiddin; Caliciotti, Andrea; Fasano, Giovanni; Roma, Massimo (2020), A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization in SIAM JOURNAL ON OPTIMIZATION, vol. 30, pp. 1954-1979 (ISSN 1052-6234)
    Link DOIURL correlato Link al documento: 10278/3728920
  • De Leone, Renato; Fasano, Giovanni; Roma, Massimo; Sergeyev, Yaroslav D. (2020), Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 186, pp. 554-589 (ISSN 0022-3239)
    Link DOIURL correlato Link al documento: 10278/3728921
  • Caliciotti, Andrea; Fasano, Giovanni; Nash, Stephen G.; Roma, Massimo (2018), An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization in OPERATIONS RESEARCH LETTERS, vol. 46, pp. 7-12 (ISSN 0167-6377)
    Link DOIURL correlato Link al documento: 10278/3694947
  • Andrea, Caliciotti; Giovanni, Fasano; Stephen, Nash; Massimo, Roma (2018), Data and performance profiles applying an adaptive truncation criterion, within linesearch-based truncated Newton methods, in large scale nonconvex optimization in DATA IN BRIEF, vol. 17, pp. 246-255 (ISSN 2352-3409)
    Link DOIURL correlato Link al documento: 10278/3694953
  • de Leone, Renato; Fasano, Giovanni; Sergeyev, Yaroslav D. (2018), Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 71, pp. 73-93 (ISSN 0926-6003)
    Link DOIURL correlato Link al documento: 10278/3694946
  • Caliciotti, Andrea; Fasano, Giovanni; Roma, Massimo (2018), Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation in APPLIED MATHEMATICS AND COMPUTATION, vol. 318, pp. 196-214 (ISSN 0096-3003)
    Link DOIURL correlato Link al documento: 10278/3692568
  • Giovanni, Fasano; Raffaele, Pesenti (2017), Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 175, pp. 764-794 (ISSN 1573-2878)
    Link DOIURL correlato Link al documento: 10278/3692466
  • Al-Baali, Mehiddin; Caliciotti, Andrea; Fasano, Giovanni; Roma, Massimo (2017), Exploiting damped techniques for nonlinear conjugate gradient methods in MATHEMATICAL METHODS OF OPERATIONS RESEARCH, vol. 86, pp. 501-522 (ISSN 1432-2994)
    Link DOIURL correlato Link al documento: 10278/3694943
  • Caliciotti, Andrea ; Fasano, Giovanni ; Roma, Massimo (2017), Novel Quasi–Newton updates for Preconditioned Nonlinear Conjugate Gradient methods in OPTIMIZATION LETTERS, vol. 11, pp. 835-853 (ISSN 1862-4472)
    Link DOI Link al documento: 10278/3677533
  • Fasano, Giovanni; Roma, Massimo (2016), A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 65, pp. 399-429 (ISSN 0926-6003)
    Link DOIURL correlato Link al documento: 10278/3677532
  • Serani , Andrea ; Leotardi , Cecilia ; Iemma , Umberto ; Campana , Emilio F. ; Fasano , Giovanni ; Diez , Matteo (2016), Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems in APPLIED SOFT COMPUTING, vol. 49, pp. 313-334 (ISSN 1568-4946)
    Link DOIURL correlato Link al documento: 10278/3677531
  • Serani, Andrea; Fasano, Giovanni; Liuzzi, Giampaolo; Lucidi, Stefano; Iemma, Umberto; Campana, Emilio F.; Stern, Frederick; Diez, Matteo (2016), Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms in APPLIED OCEAN RESEARCH, vol. 59, pp. 115-128 (ISSN 0141-1187)
    Link DOIURL correlato Link al documento: 10278/3677530
  • G. FASANO (2015), A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, SPRINGER/PLENUM PUBLISHERS, vol. 164, pp. 883-914 (ISSN 0022-3239)
    Link DOIURL correlato Link al documento: 10278/39515
  • G. Fasano; G. Liuzzi; S. Lucidi; F. Rinaldi (2014), A Linesearch-based Derivative-free Approach for Nonsmooth Constrained Optimization in SIAM JOURNAL ON OPTIMIZATION, vol. 24, pp. 959-992 (ISSN 1052-6234)
    Link DOIURL correlato Link al documento: 10278/42404
  • M. Corazza; G. Fasano; F. Mason (2014), An Artificial Neural Network-based technique for on-line hotel booking in PROCEDIA ECONOMICS AND FINANCE, vol. 15, pp. 45-55 (ISSN 2212-5671)
    Link DOIURL correlato Link al documento: 10278/43641
  • M. Corazza; G. Fasano; R. Gusso (2013), Particle Swarm Optimization with non-smooth penalty reformulation, for a complex portfolio selection problem in APPLIED MATHEMATICS AND COMPUTATION, vol. 224, pp. 611-624 (ISSN 0096-3003)
    Link DOIURL correlato Link al documento: 10278/38083
  • G. Fasano; M. Roma (2013), Preconditioning Newton-Krylov Methods in Non-Convex Large Scale Optimization in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 56, pp. 253-290 (ISSN 0926-6003)
    Link DOIURL correlato Link al documento: 10278/38255
  • Andrea Ellero;Giovanni Fasano;Annamaria Sorato (2013), Stochastic model of agent interaction with opinion leaders in PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, vol. 87, pp. 1-17 (ISSN 1539-3755)
    Link DOIURL correlato Link al documento: 10278/37563
  • M.Diez ; D.Peri ; G.Fasano ; E.F.Campana (2012), Hydroelastic optimization of a keel fin of a sailing boat: a multidisciplinary robust formulation for ship design in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, vol. 46, pp. 613-625 (ISSN 1615-147X)
    Link DOI Link al documento: 10278/30476
  • E.F. Campana ; G. Fasano ; D. Peri (2012), Penalty Function approaches for Ship Multidisciplinary Design Optimization (MDO) in EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, vol. 6, pp. 765-784 (ISSN 1751-5254)
    Link DOI Link al documento: 10278/30267
  • FASANO G. ; ROMA M. (2012), Preconditioning Large Indefinite Linear Systems in MAGALLAT GAMI'AT AL-SULTAN QABUS LI-L-BUHUT AL-'ILMIYYAT AL-'ULUM WA-AL-HANDASAT, vol. 17, pp. 1-22 (ISSN 1027-524X)
    Link al documento: 10278/28200
  • FASANO, Giovanni ; CAMPANA, Emilio Fortunato ; PINTO, Antonio (2010), Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization in JOURNAL OF GLOBAL OPTIMIZATION, vol. 48, pp. 347-397 (ISSN 0925-5001)
    Link DOI Link al documento: 10278/25783
  • A. ELLERO; G. FASANO; A. SORATO (2009), A modified Galam’s model for word-of-mouth information exchange in PHYSICA. A, vol. 388, pp. 3901-3910 (ISSN 0378-4371)
    Link DOI Link al documento: 10278/30873
  • FASANO G.; LUCIDI S. (2009), A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization in OPTIMIZATION LETTERS, vol. 3, pp. 521-535 (ISSN 1862-4472)
    Link DOI Link al documento: 10278/31199
  • FASANO G.; MORALES J.L.; NOCEDAL J. (2009), On the Geometry Phase in Model-Based Algorithms for Derivative-Free Optimization in OPTIMIZATION METHODS & SOFTWARE, vol. 24, pp. 145-154 (ISSN 1055-6788)
    Link DOI Link al documento: 10278/29438
  • FASANO G.; ROMA M. (2007), Iterative Computation of Negative Curvature Directions in Large Scale Optimization in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 38, pp. 81-104 (ISSN 0926-6003)
    Link DOI Link al documento: 10278/31350
  • FASANO G. (2007), Lanczos-Conjugate Gradient method and pseudoinverse computation, on indefinite and singular systems in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 132, pp. 267-285 (ISSN 0022-3239)
    Link DOI Link al documento: 10278/29016
  • FASANO G.; LAMPARIELLO F.; SCIANDRONE M. (2006), A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 34, pp. 343-358 (ISSN 0926-6003)
    Link DOI Link al documento: 10278/23020
  • FASANO G. (2005), Planar Conjugate Gradient Algorithm for Large-ScaleUnconstrained Optimization, Part 1: Theory in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 125, pp. 523-541 (ISSN 0022-3239)
    Link DOI Link al documento: 10278/26398
  • FASANO G. (2005), Planar-Conjugate Gradient algorithm for Large Scale Unconstrained Optimization, Part 2: Application in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 125, pp. 543-558 (ISSN 0022-3239)
    Link DOI Link al documento: 10278/28573
  • FASANO G. (2004), Conjugate Gradient (CG)-type Method for the Solution of Newton's equation within Optimization Frameworks in OPTIMIZATION METHODS & SOFTWARE, vol. 19, pp. 267-290 (ISSN 1055-6788)
    Link DOI Link al documento: 10278/29550
  • G. FASANO (2001), Uso delle Direzioni Coniugate negli algoritmi per l'Ottimizzazione Non Vincolata a grande dimensione in BOLLETTINO DELL'UNIONE MATEMATICA ITALIANA. A, vol. 4, pp. 447-450 (ISSN 0392-4033)
    Link al documento: 10278/38447
Articolo su libro
  • Marco Corazza, Giacomo di Tollo, Giovanni Fasano, Raffaele Pesenti (2019), A PSO-based framework for nonsmooth portfolio selection problems , Neural Advances in Processing Nonlinear Dynamic Signals, Cham, Springer Science and Business Media Deutschland GmbH, vol. 102, pp. 265-275 (ISBN 978-3-319-95097-6; 978-3-319-95098-3) (ISSN 2190-3018)
    Link DOIURL correlato Link al documento: 10278/3697140
  • De Leone, Renato; Fasano, Giovanni*; Roma, Massimo; Sergeyev, Yaroslav D. (2019), How grossone can be helpful to iteratively compute negative curvature directions in Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, vol. 11353, pp. 180-183 (ISBN 9783030053475) (ISSN 0302-9743)
    Link DOIURL correlato Link al documento: 10278/3713109
  • Corazza M., Fasano G., Favaretto D., Giove S. (2019), Properties of some generalized means for positive sequences , WORKING PAPER SERIES - ISSN:2239-2734, Università Ca' Foscari Venezia, vol. 5/2019, pp. 1-14
    Link al documento: 10278/3724483
  • Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma (2018), Quasi-Newton-Based Preconditioning and Damped Quasi-Newton Schemes for Nonlinear Conjugate Gradient Methods , Numerical Analysis and Optimization, Switzerland, Springer International Publishing AG, part of Springer Nature 2018, vol. 235, pp. 1-21 (ISBN 978-3-319-90026-1) (ISSN 2194-1009)
    Link DOIURL correlato Link al documento: 10278/3700923
  • Diez , Matteo ; Serani, Andrea ; Fasano , Giovanni ; Liuzzi , Giampaolo ; Lucidi ,Stefano ; Iemma , Umberto ; Campana, Emilio F. ; Stern , Frederick (2016), Chapter 8: Effects of Low and High Fidelity Solvers on Hull form Optimization, In: Assessing the Ability to Optimize Hull Forms of Sea Vehicles for Best Performance in Sea Environment in M.Diez , A.Serani , G.Fasano , G.Liuzzi , S.Lucidi , U.Iemma , E.F.Campana , F.Stern, AVT-204, NATO UNCLASSIFIED, vol. A08.03 - COTS Software Assessment, pp. 1-28
    Link al documento: 10278/3687024
  • Diez, Matteo ; Serani, Andrea ; Leotardi, Cecilia ; Campana, Emilio Fortunato ; Fasano, Giovanni ; Gusso, Riccardo (2016), Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit , ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT I, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, vol. 9712, pp. 322-330 (ISBN 978-3-319-41000-5; 978-3-319-40999-3) (ISSN 0302-9743)
    Link DOI Link al documento: 10278/3684793
  • A. Serani; M. Diez; E.F. Campana; G. Fasano; D. Peri and U. Iemma (2015), Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques , Recent Advances in Swarm Intelligence and Evolutionary Computation, Springer Verlag, vol. 585, pp. 25-47 (ISBN 978-3-319-13825-1) (ISSN 1860-949X)
    Link DOIURL correlato Link al documento: 10278/44125
  • M. Diez; A. Serani; C. Leotardi; E.F. Campana; D. Peri; U. Iemma; G. Fasano; S. Giove (2014), A proposal of PSO particles' initialization, for costly unconstrained optimization problems: ORTHOinit , ICSI 2014, Part I, Lecture Notes in Computer Science, Springer International Publishing Switzerland, vol. 8794, Part I, pp. 126-133 (ISBN 9783319118567)
    URL correlato Link al documento: 10278/42402
  • A. Serani; M. Diez; C. Leotardi; D. Peri; G. Fasano; U. Iemma; E.F. Campana (2014), On the use of Synchronous and Asynchronous Single-objective Deterministic Particle Swarm Optimization in Ship Design Problems , OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedings, Atene, National Technical University of Athens, pp. 1218-1240 (ISBN 978-960999946-5)
    Link al documento: 10278/43443
  • CAMPANA E.F.; DIEZ M.; FASANO G.; PERI D. (2013), Initial Particles Position for PSO, in Bound Constrained Optimization , Advances in Swarm Intelligence, Part I, Springer Lecture Notes in Computer Science 7928, Springer-Verlag Berlin Heidelberg, vol. 7928, pp. 112-119 (ISBN 978-364238702-9) (ISSN 0302-9743)
    Link DOIURL correlato Link al documento: 10278/37746
  • CORAZZA M.; FASANO G.; GUSSO R. (2012), Portfolio selection with an alternative measure of risk: Computational performances of Particle Swarm Optimization and Genetic Algorithms , Mathematical and Statistical Methods for Actuarial Sciences and Finance, Dordrecht, Springer-Verlag Italia, pp. 123-130 (ISBN 978-88-470-2341-3; 978-88-470-2342-0)
    Link DOIURL correlato Link al documento: 10278/29109
  • G. Fasano ; M. Roma (2012), Quasi–Newton updates for Preconditioned Nonlinear Conjugate Gradient methods , Quaderni di Matematica, Napoli, Dipartimento di Matematica della Seconda Università di Napoli, vol. 27, pp. 1-29 (ISBN 9788854856875)
    Link al documento: 10278/37393
  • Fasano G. ; Roma M. (2011), A Class of Preconditioners for Large Indefinite Linear Systems, as by-product of Krylov subspace Methods: Part II , Working Paper 5/2011, Venezia, Department of Management, Universita Cá Foscari Venezia, vol. n. 5/2011, pp. 1-31 (ISSN 2239-2734)
    Link al documento: 10278/28150
  • Fasano G. ; Roma M. (2011), A class of preconditioners for large indefinite linear systems, as by-product of Krylov subspace methods: Part I , Working Paper 4/2011, Venezia, Department of Management, Universita Cá Foscari Venezia., pp. 1-18 (ISSN 2239-2734)
    Link al documento: 10278/30264
  • A. Ellero; A. Sorato; G. Fasano (2011), A new model for estimating the probability of information spreading with opinion leaders , Working Paper 13/2011, Venezia, Department of Management, Università Ca' Foscari Venezia., pp. 1-12 (ISSN 2239-2734)
    Link al documento: 10278/35981
  • Bettin R. ; Corazza M. ; Fasano G. ; Mason F. (2011), An Artificial Neural Network technique for on-line hotel booking , Working paper 10/2011, Venezia, Department of Management, Universita Cá Foscari Venezia., pp. 1-18 (ISSN 2239-2734)
    Link al documento: 10278/28781
  • Campana E.F.; Fasano G.; Peri D. (2011), Globally convergent modifications of Particle Swarm Optimization for Unconstrained Optimization in Dr. Bohua Sun, Particle Swarm Optimization: Theory, Techniques and Applications, Nova Publishers, Series: Advances in Engineering Mechanics, Andrea E. Olsson, pp. 97-118 (ISBN 9781616685270)
    Link al documento: 10278/24094
  • FASANO G. (2003), Planar-CG methods and Matrix Tridiagonalization in Large scale Unconstrained Optimization , High Performance Algorithms and Software for Nonlinear Optimization, DORDRECHT, SPRINGER, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS, vol. 82, pp. 243-263 (ISBN 1402075324) (ISSN 1384-6485)
    Link al documento: 10278/14975
Voce in dizionario/enciclopedia
  • FASANO G. (2010), Methods for large scale unconstrained optimization in Sherry Wasserman Editorial Assistant, John Wiley & Sons, Inc., NJ, Wiley Encyclopedia of Operations Research and Management Science, New Jersey, John Wiley & Sons, Inc. (ISBN 9780470400630)
    Link al documento: 10278/23512
Articolo in Atti di convegno
  • Fasano, Giovanni ; Giove, Silvio ; Gusso, Riccardo (2016), Polarity for Quadratic Hypersurfaces and Conjugate Gradient Method: Relation between Degenerate and Nondegenerate Cases , Numerical Computations:Theory and Algorithms, The 2nd International Conference and Summer School (NUMTA 2016), 2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA, AMER INST PHYSICS, vol. 1776, Convegno: Numerical Computations:Theory and Algorithms, The 2nd International Conference and Summer School (NUMTA 2016), 19-25 Giugno 2016 (ISBN 978-073541438-9) (ISSN 0094-243X)
    Link DOI Link al documento: 10278/3677962
  • Caliciotti, Andrea ; Fasano, Giovanni ; Roma, Massimo (2016), Preconditioning Strategies for Nonlinear Conjugate Gradient Methods, Based on Quasi-Newton Updates , Numerical Computations:Theory and Algorithms, The 2nd International Conference and Summer School (NUMTA 2016), 2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA, AMER INST PHYSICS, vol. 1776, Convegno: Numerical Computations:Theory and Algorithms, The 2nd International Conference and Summer School (NUMTA 2016), 19–25 Giugno 2016 (ISBN 978-073541438-9) (ISSN 0094-243X)
    Link DOI Link al documento: 10278/3677960
  • Serani, Andrea ; Fasano, Giovanni ; Liuzzi, Giampaolo ; Lucidi, Stefano ; Iemma, Umberto ; Campana, Emilio Fortunato ; Diez, Matteo (2015), Derivative-free global design optimization in ship hydrodynamics by local hybridization , 14th International Conference on Computer Applications and Information Technology in the Maritime Industries, COMPIT 2015, Ulrichshusen, COMPIT 2015, vol. 1, pp. 331-342, Convegno: COMPIT 2015, 11-13/05/2015
    URL correlato Link al documento: 10278/3677534
  • Pellegrini, R.; Campana, E.F.; Diez, M.; Serani, A.; Rinaldi, F.; Fasano, G; Iemma, U.; Liuzzi, G.; Lucidi, S.; Stern, F. (2014), Application of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment in Herskovits J. , Rodrigues H.C. , Soares C.M.M. , Guedes J.M. , Araujo A.L. , Folgado J.O. , Moleiro F. , Madeira G.F.A., ENGINEERING OPTIMIZATION IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, CRC Press/Balkema, pp. 15-20, Convegno: 4th International Conference on Engineering Optimization, ENGOPT 2014, 2014 (ISBN 9781138027251)
    Link al documento: 10278/3668950
  • D. Peri; G. Fasano; M. Diez (2012), Comparison between Deterministic and Stochastic formulations of Particle Swarm Optimization, for Multidisciplinary Design Optimization , 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA, vol. AIAA 2012 - 5523, Convegno: 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 17-19 September 2012 (ISBN 9781600869303)
    Link DOI Link al documento: 10278/30368
  • Diez M. ; Peri D. ; Fasano G. ; Campana E.F. (2010), Multidisciplinary Robust Optimization for Ship Design , Proceedings of 28th Symposium on Naval Hydrodynamics, U.S. Office of Naval Research and the California Institute of Technology, Convegno: 28th Symposium on Naval Hydrodynamics, 12-17 September 2010 (ISBN 9781618392992)
    Link al documento: 10278/28568
  • PERI D.; FASANO G.; DESSI D.; CAMPANA E.F. (2008), Global Optimization Algorithms in Multidisciplinary DesignOptimization , 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (MAO 2008), AIAA, pp. 953-966, Convegno: 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 10-12/09/2008 (ISBN 978-156347947-2)
    Link DOI Link al documento: 10278/30365
  • CAMPANA E.F.; FASANO G.; PERI D.; PINTO A. (2007), Nonlinear Programming Approaches in the Multidisciplinary Design Optimization of a Sailing Yacht Keel Fin , Proceedings of the 9th International Conference on Numerical Ship Hydrodynamics, ONR, Convegno: 9th International Conference on Numerical Ship Hydrodynamics, August 5-8, 2007
    Link al documento: 10278/14976
  • CAMPANA E.F.; FASANO G.; PINTO A. (2006), Dynamic system analysis and initial particles position in Particle Swarm Optimization , IEEE SIS 2006, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: link esterno , Fax: (732)981-9667, Convegno: IEEE Swarm Intelligence Symposium 2006, 12-14/05/2006
    Link al documento: 10278/23898
  • CAMPANA E. F.; FASANO G.; PERI D.; PINTO A. (2006), Particle Swarm Optimization: efficient globally convergent modifications , III European Conference on Computational Mechanics: Solids, Structures And Coupled Problems in Engineering, Springer, Convegno: III European Conference On Computational Mechanics - Solids, Structures and Coupled Problems in Engi, 05-09/06/2006 (ISBN 978-1-4020-4994-1)
    Link al documento: 10278/30352
  • CAMPANA E.F.; FASANO G.; PERI D. (2005), Issues on Nonlinear Programming for Multidisciplinary Design Optimization (MDO) in Ship Design Framework , 8th Numerical Towing Tank Symposium (NuTTS '05), Conference committee, Convegno: 8th Numerical Towing Tank Symposium (NuTTS '05), 2-4 October 2005
    Link al documento: 10278/23920
Curatela
  • (a cura di) Barro, Diana; Igor Bykadorov; Corazza, Marco; Fasano Giovanni; Ferretti, Paola; Funari, Stefania; Nardon, Martina (2019), MATHEMATICAL METHODS IN ECONOMICS AND FINANCE in MATHEMATICAL METHODS IN ECONOMICS AND FINANCE, Venezia, Dipartimento di Economia, Università di Venezia, vol. 11/12 (ISSN 1971-6419)
    URL correlato Link al documento: 10278/3703764
  • (a cura di) Barro, Diana; Corazza Marco; Fasano, Giovanni; Ferretti, Paola; Funari Stefania; Nardon Martina (2015), MATHEMATICAL METHODS IN ECONOMICS AND FINANCE in MATHEMATICAL METHODS IN ECONOMICS AND FINANCE, Venezia, Dipartimento di Economia, Università di Venezia, vol. 9-10, pp. 1-110 (ISSN 1971-6419)
    URL correlato Link al documento: 10278/3703763
Working paper
  • Marco Corazza, Giovanni Fasano, Riccardo Gusso, Raffaele Pesenti (2019), A comparison among Reinforcement Learning algorithms in financial trading systems , Venezia, Department of Economics, Ca' Foscari University of Venice, vol. 33, pp. 1-34 (ISBN 1827-3580) (ISSN 1827-3580)
    URL correlato Link al documento: 10278/3722054
  • Mehiddin, Al-Baali; Andrea, Caliciotti; Giovanni, Fasano; Massimo, Roma (2017), Exploiting damped techniques for nonlinear conjugate gradient methods , Roma, Dipartimento di Ingegneria Informatica, Automatica e Gestionale “A. Ruberti”, Sapienza Università di Roma, vol. 5 (ISSN 2281-4299)
    URL correlato Link al documento: 10278/3694981
  • Giovanni, Fasano; Marco, Corazza; Riccardo, Gusso; Stefania, Funari (2017), PSO-based tuning of MURAME parameters for creditworthiness evaluation of Italian SMEs , Venezia, Dipartimento di Management, vol. 4, pp. 1-27 (ISSN 2239-2734)
    Link DOIURL correlato Link al documento: 10278/3685583
  • G. Fasano ; M. Roma (2015), An estimation of the condition number for a class of indefinite preconditioned matrices , Roma, DEPARTMENT OF COMPUTER, CONTROL, AND MANAGEMENT ENGINEERING "ANTONIO RUBERTI", vol. 1 - 2015, pp. 1-19 (ISSN 2281-4299)
    Link al documento: 10278/3641147
  • G. Fasano; G. Liuzzi; S. Lucidi; F. Rinaldi (2013), A Linesearch-based Derivative-free Approach for Nonsmooth Optimization , Roma, Consiglio Nazionale delle Ricerche (IASI), vol. ISSN: 1128–3378, n. 01/2013, pp. 1-32
    URL correlato Link al documento: 10278/38462
  • G. Fasano (2013), A framework of conjugate direction methods for symmetric linear systems in optimization , Venezia, Ca' Foscari University, Department of Management, pp. 1-36 (ISSN 2239-2734)
    URL correlato Link al documento: 10278/39123
  • E. F. Campana; M. Diez; G. Fasano; D. Peri (2013), Initial particles position for PSO, in Bound Constrained Optimization , Venezia, Dipartimento di Management - Università Ca'Foscari Venezia, vol. Working Paper n. 6/2013, pp. 1-11 (ISSN 2239-2734)
    URL correlato Link al documento: 10278/38708
  • Ellero A.; Fasano G.; Sorato A. (2008), A Modified Galam's Model , Department of Applied Mathematics, University Ca' Foscari of Venice, pp. 1-15
    Link al documento: 10278/4289
  • FASANO G.; LUCIDI S. (2008), A nonmonotone truncatedNewton-Krylov method exploiting negative curvature directions, forlarge scale unconstrained optimization: complete results
    Link al documento: 10278/23960
  • FASANO G. (2008), Notes on a 3-term Conjugacy Recurrence forthe Iterative Solution of Symmetric Linear Systems , Department of Applied Mathematics, Università Ca' Foscari Venezia
    Link al documento: 10278/19028
  • FASANO G.; ROMA M. (2007), On the iterative computation of a l_2-norm scaling based preconditioner
    Link al documento: 10278/15016
  • FASANO G.; ROMA M. (2007), Preconditioning Newton–Krylov methods in nonconvex large scale optimization
    Link al documento: 10278/23941
  • FASANO G.; ROMA M. (2005), Iterative Computation of Negative Curvature Directions in Large Scale Optimization: Theory and Preliminary Numerical results
    Link al documento: 10278/23961
  • CAMPANA E.F.; FASANO G.; PINTO A. (2005), Particle Swarm Optimization: dynamic system analysis for parameter selection in global optimization frameworks
    Link al documento: 10278/27286
  • FASANO G. (2004), Lanczos-Conjugate Gradient method and pseudoinverse computation, in unconstrained optimization
    Link al documento: 10278/27285
  • FASANO G. (2004), Planar-Conjugate Gradient algorithm for Large Scale Unconstrained Optimization, Part I: Theory
    Link al documento: 10278/15017