Nonlinear Optimization

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...
A Reverse Priority approach to multi-task control of redundant robots
Global optimization issues in deep network regression: an overview
Guest Editorial - Erice 2007 Nonlinear Optimization - Special Issue of COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
Preconditioning strategies for nonlinear conjugate gradient methods, based on quasi-Newton updates

This paper reports two proposals of possible preconditioners for the Nonlinear Conjugate Gradient (NCG) method, in large scale unconstrained optimization. On one hand, the common idea of our preconditioners is inspired to L-BFGS quasi–Newton updates, on the other hand we aim at explicitly...
Nonlinear Optimization: a Bridge from Theory to Applications
Prioritized multi-task motion control of redundant robots under hard joint constraints
A truncated Newton method for constrained optimization