Nonlinear Optimization

A derivative-free approach to constrained multiobjective nonsmooth optimization
Improving P300 Speller performance by means of optimization and machine learning

Brain-Computer Interfaces (BCIs) are systems allowing people to interact with the environment bypassing the natural neuromuscular and hormonal outputs of the peripheral nervous system (PNS). These interfaces record a user’s brain activity and translate it into control commands for external devices...
Hybridization of multi-objective deterministic particle swarm with derivative-free local searches
An active-set algorithmic framework for non-convex optimization problems over the simplex
Joaquim Judice

Prof. Joaquim Judice visited our department of Computer, Control, and Management
Engineering Antonio Ruberti (DIAG) of Sapienza University of Rome in the week 9th-15th
June 2019.

On Monday 10th, he gave a seminar entitled “Linear Complementarity Problems: Appli-
...
Using a factored dual in augmented Lagrangian methods for semidefinite programming

In the context of augmented Lagrangian approaches for solving semidefinite programming problems, we investigate the possibility of eliminating the positive semidefinite constraint on the dual matrix by employing a factorization. Hints on how to deal with the resulting unconstrained maximization of...
Data and performance of an active-set truncated Newton method with non-monotone line search for bound-constrained optimization
A Two-Stage Active-Set Algorithm for Bound-Constrained Optimization
A fast active set block coordinate descent algorithm for ℓ1-regularized least squares
An active set feasible method for large-scale minimization problems with bound constraints