1. A survey of nonlinear robust optimization. Issue 2 (2nd April 2020) Authors: Leyffer, Sven; Menickelly, Matt; Munson, Todd; Vanaret, Charlie; Wild, Stefan M. Journal: Infor Issue: Volume 58:Issue 2(2020) Page Start: 342 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Derivative-free optimization methods. (1st May 2019) Authors: Larson, Jeffrey; Menickelly, Matt; Wild, Stefan M. Journal: Acta numerica Issue: Volume 28(2019) Page Start: 287 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Optimization and supervised machine learning methods for fitting numerical physics models without derivatives*The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory ('Argonne'). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan. http://energy.gov/downloads/doe-public-access-plan. (31st December 2020) Authors: Bollapragada, Raghu; Menickelly, Matt; Nazarewicz, Witold; O'Neal, Jared; Reinhard, Paul-Gerhard; Wild, Stefan M Journal: Journal of physics Issue: Volume 48:Number 2(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗