Abstract
This research project aims to develop globally convergent algorithms for derivative-free nonlinear programming, addressing noisy problems, with algebraic and/or implicit constraints. The starting point is the class of sampling-based implicit filtering methods. A major purpose is to exploit the more appropriate features of the existing generating set search algorithms, combined with the …