47 citations · 60 across the 2 of their papers we have counts for
3 papers
Global Optimization of Gaussian processes
Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe +4
Gaussian processes~(Kriging) are interpolating data-driven models that are frequently applied in various disciplines. Often, Gaussian processes are trained on datasets and are subs…
Tighter McCormick Relaxations through Subgradient Propagation
Jaromił Najman, Alexander Mitsos
Tight convex and concave relaxations are of high importance in the field of deterministic global optimization. We present a heuristic to tighten relaxations obtained by the McCormi…
Optimal Deterministic Algorithm Generation
Alexander Mitsos, Jaromił Najman, Ioannis G. Kevrekidis
A formulation for the automated generation of algorithms via mathematical programming (optimization) is proposed. The formulation is based on the concept of optimizing within a par…