Nonlinear Optimization

Quasi-Newton Updates for Preconditioned Nonlinear Conjugate Gradient Methods
Preconditioned nonlinear conjugate gradient methods based on a modified secant equation

This paper includes a twofold result for the Nonlinear Conjugate Gradient (NCG) method, in large scale unconstrained optimization. First we consider a theoretical analysis, where preconditioning is embedded in a strong convergence framework of an NCG method from the literature. Mild conditions to...
A Reverse Priority approach to multi-task control of redundant robots
A nonmonotone GRASP

A greedy randomized adaptive search procedure (GRASP) is an itera- tive multistart metaheuristic for difficult combinatorial optimization problems. Each GRASP iteration consists of two phases: a construction phase, in which a feasible solution is produced, and a local search phase, in which a local...
LARGE SCALE UNCONSTRAINED 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...
Preconditioning Newton-Krylov methods in nonconvex large scale optimization
Prioritized multi-task motion control of redundant robots under hard joint constraints
On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds
Large Scale Nonlinear Optimization