Nonlinear Optimization | Dipartimento di Ingegneria informatica, automatica e gestionale

Nonlinear Optimization

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
AN APPROXIMATE INVERSE PRECONDITIONER IN TRUNCATED NEWTON METHODS FOR LARGE SCALE OPTIMIZATION
Quasi-Newton Updates for Preconditioned Nonlinear Conjugate Gradient Methods
Data and performance profiles applying an adaptive truncation criterion, within linesearch-based truncated Newton methods in large scale nonconvex optimization

In this paper, we report data and experiments related to the research article entitled “An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization” by Caliciotti et. Al. [1]. In particular, in [1], large scale unconstrained optimization...
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization

We propose a class of preconditioners for large positive definite linear systems, arising in nonlinear optimization frameworks. These preconditioners can be computed as by-product of Krylov-subspace solvers. Preconditioners in our class are chosen by setting the values of some user-dependent...
Discrete-time velocity control of redundant robots with acceleration/torque optimization properties
Using SVM to combine global heuristics for the Standard Quadratic Problem
LARGE SCALE UNCONSTRAINED OPTIMIZATION

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