Giovanni Fasano
Orcid: 0000-0003-4721-8114
According to our database1,
Giovanni Fasano
authored at least 30 papers
between 2004 and 2021.
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Bibliography
2021
Polarity and conjugacy for quadratic hypersurfaces: A unified framework with recent advances.
J. Comput. Appl. Math., 2021
Appl. Soft Comput., 2021
Ann. Oper. Res., 2021
2020
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization.
SIAM J. Optim., 2020
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization.
J. Optim. Theory Appl., 2020
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation.
Comput. Optim. Appl., 2020
2018
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization.
Oper. Res. Lett., 2018
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming.
Comput. Optim. Appl., 2018
Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation.
Appl. Math. Comput., 2018
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018
2017
Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods.
Optim. Lett., 2017
Math. Methods Oper. Res., 2017
J. Optim. Theory Appl., 2017
2016
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization.
Comput. Optim. Appl., 2016
Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems.
Appl. Soft Comput., 2016
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
2015
Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques.
Proceedings of the Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015
A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization.
J. Optim. Theory Appl., 2015
2014
SIAM J. Optim., 2014
A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014
2013
Comput. Optim. Appl., 2013
Particle Swarm Optimization with non-smooth penalty reformulation, for a complex portfolio selection problem.
Appl. Math. Comput., 2013
Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013
2010
Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization.
J. Glob. Optim., 2010
2009
Optim. Methods Softw., 2009
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization.
Optim. Lett., 2009
2007
Comput. Optim. Appl., 2007
2006
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems.
Comput. Optim. Appl., 2006
2004
Conjugate gradient (CG)-type method for the solution of Newton's equation within optimization frameworks.
Optim. Methods Softw., 2004