Conjugate gradient (CG)-type method for the solution of Newton's equation within optimization frameworks. - Giovanni Fasano (Optim. Methods Softw., 2004)

A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems. - Giovanni Fasano; Francesco Lampariello; Marco Sciandrone (Comput. Optim. Appl., 2006)

Iterative computation of negative curvature directions in large scale optimization. - Giovanni Fasano; Massimo Roma (Comput. Optim. Appl., 2007)

A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization. - Giovanni Fasano; Stefano Lucidi (Optim. Lett., 2009)

On the geometry phase in model-based algorithms for derivative-free optimization. - Giovanni Fasano; José Luis Morales; Jorge Nocedal (Optim. Methods Softw., 2009)

Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization. - Emilio Fortunato Campana; Giovanni Fasano; Antonio Pinto (J. Glob. Optim., 2010)

Initial Particles Position for PSO, in Bound Constrained Optimization. - Emilio Fortunato Campana; Matteo Diez; Giovanni Fasano; Daniele Peri (ICSI (1), 2013)

Particle Swarm Optimization with non-smooth penalty reformulation, for a complex portfolio selection problem. - Marco Corazza; Giovanni Fasano; Riccardo Gusso (Appl. Math. Comput., 2013)

Preconditioning Newton-Krylov methods in nonconvex large scale optimization. - Giovanni Fasano; Massimo Roma (Comput. Optim. Appl., 2013)

A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit. - Matteo Diez; Andrea Serani; Cecilia Leotardi; Emilio Fortunato Campana; Daniele Peri; Umberto Iemma; Giovanni Fasano; Silvio Giove (ICSI (1), 2014)

A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization. - Giovanni Fasano; Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (SIAM J. Optim., 2014)

A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization. - Giovanni Fasano (J. Optim. Theory Appl., 2015)

Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques. - Andrea Serani; Matteo Diez; Emilio Fortunato Campana; Giovanni Fasano; Daniele Peri; Umberto Iemma (Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015)

Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+. - Matteo Diez; Andrea Serani; Cecilia Leotardi; Emilio Fortunato Campana; Giovanni Fasano; Riccardo Gusso (ICSI (1), 2016)

Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems. - Andrea Serani; Cecilia Leotardi; Umberto Iemma; Emilio Fortunato Campana; Giovanni Fasano; Matteo Diez (Appl. Soft Comput., 2016)

A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization. - Giovanni Fasano; Massimo Roma (Comput. Optim. Appl., 2016)

Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces. - Giovanni Fasano; Raffaele Pesenti (J. Optim. Theory Appl., 2017)

Exploiting damped techniques for nonlinear conjugate gradient methods. - Mehiddin Al-Baali; Andrea Caliciotti; Giovanni Fasano; Massimo Roma (Math. Methods Oper. Res., 2017)

Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods. - Andrea Caliciotti; Giovanni Fasano; Massimo Roma (Optim. Lett., 2017)

How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions. - Renato De Leone; Giovanni Fasano; Massimo Roma; Yaroslav D. Sergeyev (LION, 2018)

Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation. - Andrea Caliciotti; Giovanni Fasano; Massimo Roma (Appl. Math. Comput., 2018)

Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming. - Renato De Leone; Giovanni Fasano; Yaroslav D. Sergeyev (Comput. Optim. Appl., 2018)

An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization. - Andrea Caliciotti; Giovanni Fasano; Stephen G. Nash; Massimo Roma (Oper. Res. Lett., 2018)

Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation. - Andrea Caliciotti; Giovanni Fasano; Florian A. Potra; Massimo Roma (Comput. Optim. Appl., 2020)

Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization. - Renato De Leone; Giovanni Fasano; Massimo Roma; Yaroslav D. Sergeyev (J. Optim. Theory Appl., 2020)

A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization. - Mehiddin Al-Baali; Andrea Caliciotti; Giovanni Fasano; Massimo Roma (SIAM J. Optim., 2020)

A PSO-Based Framework for Nonsmooth Portfolio Selection Problems. - Marco Corazza; Giacomo di Tollo; Giovanni Fasano; Raffaele Pesenti (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

A novel hybrid PSO-based metaheuristic for costly portfolio selection problems. - Marco Corazza; Giacomo di Tollo; Giovanni Fasano; Raffaele Pesenti (Ann. Oper. Res., 2021)

Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+. - Cecilia Leotardi; Andrea Serani; Matteo Diez; Emilio Fortunato Campana; Giovanni Fasano; Riccardo Gusso (Appl. Soft Comput., 2021)

Polarity and conjugacy for quadratic hypersurfaces: A unified framework with recent advances. - Giovanni Fasano; Raffaele Pesenti (J. Comput. Appl. Math., 2021)

Price Forecasting for Bitcoin: Linear Regression and SVM Approaches. - Marco Corazza; Giovanni Fasano (NUMTA (1), 2023)

From regression models to machine learning approaches for long term Bitcoin price forecast. - Andrea Caliciotti; Marco Corazza; Giovanni Fasano (Ann. Oper. Res., 2024)

Exploiting effective negative curvature directions via SYMMBK algorithm, in Newton-Krylov methods. - Giovanni Fasano; Christian Piermarini; Massimo Roma (Comput. Optim. Appl., 2025)