Giovanni Fasano

35 papers Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploiting effective negative curvature directions via SYMMBK algorithm, in Newton-Krylov methods.
Comput. Optim. Appl.
Giovanni Fasano, Christian Piermarini, Massimo Roma
2025 J jnl
Properties and applications of some generalized means of positive sequences.
Soft Comput.
Marco Corazza, Giovanni Fasano, Daniela Favaretto, Silvio Giove
2024 J jnl
From regression models to machine learning approaches for long term Bitcoin price forecast.
Ann. Oper. Res.
Andrea Caliciotti, Marco Corazza, Giovanni Fasano
2024 J jnl
Issues on a 2-Dimensional Quadratic Sub-Problem and Its Applications in Nonlinear Programming: Trust-Region Methods (TRMs) and Linesearch Based Methods (LBMs).
Algorithms
Giovanni Fasano, Christian Piermarini, Massimo Roma
2023 — conf
Price Forecasting for Bitcoin: Linear Regression and SVM Approaches.
NUMTA (1)
Marco Corazza, Giovanni Fasano
2021 J jnl
A novel hybrid PSO-based metaheuristic for costly portfolio selection problems.
Ann. Oper. Res.
Marco Corazza, Giacomo di Tollo, Giovanni Fasano, Raffaele Pesenti
2021 J jnl
Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+.
Appl. Soft Comput.
Cecilia Leotardi, Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso
2021 J jnl
Polarity and conjugacy for quadratic hypersurfaces: A unified framework with recent advances.
J. Comput. Appl. Math.
Giovanni Fasano, Raffaele Pesenti
2020 J jnl
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization.
SIAM J. Optim.
Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma
2020 — ch.
A PSO-Based Framework for Nonsmooth Portfolio Selection Problems.
Neural Advances in Processing Nonlinear Dynamic Signals
Marco Corazza, Giacomo di Tollo, Giovanni Fasano, Raffaele Pesenti
2020 J jnl
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation.
Comput. Optim. Appl.
Andrea Caliciotti, Giovanni Fasano, Florian A. Potra, Massimo Roma
2020 J jnl
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization.
J. Optim. Theory Appl.
Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev
2018 J jnl
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization.
Oper. Res. Lett.
Andrea Caliciotti, Giovanni Fasano, Stephen G. Nash, Massimo Roma
2018 — conf
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions.
LION
Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev
2018 J jnl
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming.
Comput. Optim. Appl.
Renato De Leone, Giovanni Fasano, Yaroslav D. Sergeyev
2018 J jnl
Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation.
Appl. Math. Comput.
Andrea Caliciotti, Giovanni Fasano, Massimo Roma
2017 J jnl
Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces.
J. Optim. Theory Appl.
Giovanni Fasano, Raffaele Pesenti
2017 J jnl
Exploiting damped techniques for nonlinear conjugate gradient methods.
Math. Methods Oper. Res.
Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma
2017 J jnl
Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods.
Optim. Lett.
Andrea Caliciotti, Giovanni Fasano, Massimo Roma
2016 J jnl
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization.
Comput. Optim. Appl.
Giovanni Fasano, Massimo Roma
2016 — conf
Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+.
ICSI (1)
Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso
2016 J jnl
Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems.
Appl. Soft Comput.
Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Giovanni Fasano, Matteo Diez
2015 J jnl
A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization.
J. Optim. Theory Appl.
Giovanni Fasano
2015 — ch.
Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques.
Recent Advances in Swarm Intelligence and Evolutionary Computation
Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Daniele Peri, Umberto Iemma
2014 J jnl
A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization.
SIAM J. Optim.
Giovanni Fasano, Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi
2014 — conf
A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit.
ICSI (1)
Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove
2013 — conf
Initial Particles Position for PSO, in Bound Constrained Optimization.
ICSI (1)
Emilio Fortunato Campana, Matteo Diez, Giovanni Fasano, Daniele Peri
2013 J jnl
Particle Swarm Optimization with non-smooth penalty reformulation, for a complex portfolio selection problem.
Appl. Math. Comput.
Marco Corazza, Giovanni Fasano, Riccardo Gusso
2013 J jnl
Preconditioning Newton-Krylov methods in nonconvex large scale optimization.
Comput. Optim. Appl.
Giovanni Fasano, Massimo Roma
2010 J jnl
Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization.
J. Glob. Optim.
Emilio Fortunato Campana, Giovanni Fasano, Antonio Pinto
2009 J jnl
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization.
Optim. Lett.
Giovanni Fasano, Stefano Lucidi
2009 J jnl
On the geometry phase in model-based algorithms for derivative-free optimization.
Optim. Methods Softw.
Giovanni Fasano, José Luis Morales, Jorge Nocedal
2007 J jnl
Iterative computation of negative curvature directions in large scale optimization.
Comput. Optim. Appl.
Giovanni Fasano, Massimo Roma
2006 J jnl
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems.
Comput. Optim. Appl.
Giovanni Fasano, Francesco Lampariello, Marco Sciandrone
2004 J jnl
Conjugate gradient (CG)-type method for the solution of Newton's equation within optimization frameworks.
Optim. Methods Softw.
Giovanni Fasano