default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGiovanni Fasano
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j25]Andrea Caliciotti
, Marco Corazza, Giovanni Fasano:
From regression models to machine learning approaches for long term Bitcoin price forecast. Ann. Oper. Res. 336(1-2): 359-381 (2024)- 2021
- [j24]Marco Corazza, Giacomo di Tollo, Giovanni Fasano, Raffaele Pesenti:
A novel hybrid PSO-based metaheuristic for costly portfolio selection problems. Ann. Oper. Res. 304(1): 109-137 (2021) - [j23]Cecilia Leotardi, Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso:
Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+. Appl. Soft Comput. 104: 107121 (2021) - [j22]Giovanni Fasano, Raffaele Pesenti:
Polarity and conjugacy for quadratic hypersurfaces: A unified framework with recent advances. J. Comput. Appl. Math. 390: 113248 (2021) - 2020
- [j21]Andrea Caliciotti, Giovanni Fasano, Florian A. Potra, Massimo Roma:
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation. Comput. Optim. Appl. 77(3): 627-651 (2020) - [j20]Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev:
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization. J. Optim. Theory Appl. 186(2): 554-589 (2020) - [j19]Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization. SIAM J. Optim. 30(3): 1954-1979 (2020) - [p2]Marco Corazza, Giacomo di Tollo, Giovanni Fasano, Raffaele Pesenti:
A PSO-Based Framework for Nonsmooth Portfolio Selection Problems. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 265-275
2010 – 2019
- 2018
- [j18]Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation. Appl. Math. Comput. 318: 196-214 (2018) - [j17]Renato De Leone, Giovanni Fasano, Yaroslav D. Sergeyev:
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming. Comput. Optim. Appl. 71(1): 73-93 (2018) - [j16]Andrea Caliciotti, Giovanni Fasano, Stephen G. Nash, Massimo Roma:
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization. Oper. Res. Lett. 46(1): 7-12 (2018) - [c4]Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev:
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions. LION 2018: 180-183 - 2017
- [j15]Giovanni Fasano, Raffaele Pesenti:
Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces. J. Optim. Theory Appl. 175(3): 764-794 (2017) - [j14]Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
Exploiting damped techniques for nonlinear conjugate gradient methods. Math. Methods Oper. Res. 86(3): 501-522 (2017) - [j13]Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods. Optim. Lett. 11(4): 835-853 (2017) - 2016
- [j12]Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Giovanni Fasano, Matteo Diez:
Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems. Appl. Soft Comput. 49: 313-334 (2016) - [j11]Giovanni Fasano, Massimo Roma:
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization. Comput. Optim. Appl. 65(2): 399-429 (2016) - [c3]Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso:
Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+. ICSI (1) 2016: 322-330 - 2015
- [j10]Giovanni Fasano:
A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization. J. Optim. Theory Appl. 164(3): 883-914 (2015) - [p1]Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Daniele Peri, Umberto Iemma:
Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques. Recent Advances in Swarm Intelligence and Evolutionary Computation 2015: 25-47 - 2014
- [j9]Giovanni Fasano, Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization. SIAM J. Optim. 24(3): 959-992 (2014) - [c2]Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove:
A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit. ICSI (1) 2014: 126-133 - 2013
- [j8]Marco Corazza, Giovanni Fasano, Riccardo Gusso:
Particle Swarm Optimization with non-smooth penalty reformulation, for a complex portfolio selection problem. Appl. Math. Comput. 224: 611-624 (2013) - [j7]Giovanni Fasano, Massimo Roma:
Preconditioning Newton-Krylov methods in nonconvex large scale optimization. Comput. Optim. Appl. 56(2): 253-290 (2013) - [c1]Emilio Fortunato Campana, Matteo Diez, Giovanni Fasano, Daniele Peri:
Initial Particles Position for PSO, in Bound Constrained Optimization. ICSI (1) 2013: 112-119 - 2010
- [j6]Emilio Fortunato Campana, Giovanni Fasano, Antonio Pinto:
Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization. J. Glob. Optim. 48(3): 347-397 (2010)
2000 – 2009
- 2009
- [j5]Giovanni Fasano, Stefano Lucidi:
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization. Optim. Lett. 3(4): 521-535 (2009) - [j4]Giovanni Fasano, José Luis Morales, Jorge Nocedal:
On the geometry phase in model-based algorithms for derivative-free optimization. Optim. Methods Softw. 24(1): 145-154 (2009) - 2007
- [j3]Giovanni Fasano, Massimo Roma:
Iterative computation of negative curvature directions in large scale optimization. Comput. Optim. Appl. 38(1): 81-104 (2007) - 2006
- [j2]Giovanni Fasano, Francesco Lampariello, Marco Sciandrone:
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems. Comput. Optim. Appl. 34(3): 343-358 (2006) - 2004
- [j1]Giovanni Fasano:
Conjugate gradient (CG)-type method for the solution of Newton's equation within optimization frameworks. Optim. Methods Softw. 19(3-4): 267-290 (2004)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-08 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
