Nonlinear Optimization

ITERATIVE COMPUTATION OF NEGATIVE CURVATURE DIRECTIONS IN LARGE SCALE OPTIMIZATION: THEORY AND PRELIMINARY NUMERICAL RESULTS
Erice 2007: Nonlinear Optimization
Exploiting damped techniques for nonlinear conjugate gradient methods

In this paper we propose the use of damped techniques within Nonlinear Conjugate Gradient (NCG) methods. Damped techniques were introduced by Powell and recently reproposed by Al-Baali and till now, only applied in the framework of quasi--Newton methods. We extend their use to NCG methods in large...
An estimation of the condition number for a class of indefinite preconditioned matrices
Motion control of redundant robots under joint constraints: Saturation in the null space
On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds
ON THE ITERATIVE COMPUTATION OF A l2-NORM SCALING BASED PRECONDITIONER
Preconditioning Large Indefinite Linear Systems
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization

Starting from the paper by Nash and Sofer (1990), we propose a heuristic adaptive truncation criterionfor the inner iterations within linesearch-based truncated Newton methods. Our aim is to possibly avoid ‘‘over-solving’’ of the Newton equation, based on a comparison between the predicted...
A derivative-free approach for a simulation-based optimization problem in healthcare

Hospitals have been challenged in recent years to deliver high quality care with limited resources. Given the pressure to contain costs,developing procedures for optimal resource allocation becomes more and more critical in this context. Indeed, under/overutilization of emergency room and ward...