Nonlinear Optimization

Erice 2007: Nonlinear Optimization
An estimation of the condition number for a class of indefinite preconditioned matrices
Quasi-Newton based preconditioning and damped quasi-Newton schemes for nonlinear conjugate gradient methods

In this paper, we deal with matrix-free preconditioners for nonlinear conjugate gradient (NCG) methods. In particular, we review proposals based on quasi-Newton updates, and either satisfying the secant equation or a secant-like equation at some of the previous iterates. Conditions are given...
Fast redundancy resolution for high-dimensional robots executing prioritized tasks under hard bounds in the joint space
ON THE ITERATIVE COMPUTATION OF A l2-NORM SCALING BASED PRECONDITIONER
Using SVM to combine global heuristics for the Standard Quadratic Problem
Preconditioning Large Indefinite Linear Systems
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...
Extracting feasible robot parameters from dynamic coefficients using nonlinear optimization methods

We consider the problem of extracting a complete set of numerical parameters that characterize the robot dynamics, starting from the identified values of dynamic coefficients that linearly parametrize the robot dynamic equations. This information is relevant when realistic dynamic simulations have...
A shifted-barrier primal-dual algorithm model for linearly constrained optmization problems