Stefan M. Wild

Direct search for stochastic optimization in random subspaces with zeroth-, first-, and second-order convergence and expected complexity

Abstract Stochastic directional direct-search (SDDS) algorithms were recently introduced as an extension to stochastically noisy objectives of a broad class of algorithms including the well-known mesh adaptive direct-search (MADS) algorithms developed for the minimization of dete...