On the choice of the low-dimensional domain for global optimization via random embeddings
Crossref DOI link: https://doi.org/10.1007/s10898-019-00839-1
Published Online: 2019-10-18
Published Print: 2020-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Binois, Mickaƫl http://orcid.org/0000-0002-7225-1680
Ginsbourger, David
Roustant, Olivier
Funding for this research was provided by:
Division of Mathematical Sciences (DMS-1521702)
Text and Data Mining valid from 2019-10-18
Version of Record valid from 2019-10-18
Article History
Received: 13 April 2017
Accepted: 14 February 2019
First Online: 18 October 2019