Journal article : Editorial

Optimization challenges in data science – special issue editorial

Publication status:: Published

Peer review status:: Reviewed (other)

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APA Style

Cartis, C., & Mertikopoulos, P. (2023). Optimization challenges in data science – special issue editorial. EURO Journal on Computational Optimization, 11.

MLA Style

Cartis, C., and P. Mertikopoulos. “Optimization Challenges in Data Science – Special Issue Editorial.” EURO Journal on Computational Optimization, vol. 11, Elsevier, 2023.

Chicago Style

Cartis, C, and P Mertikopoulos. 2023. “Optimization Challenges in Data Science – Special Issue Editorial.” EURO Journal on Computational Optimization 11.
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Files:: Cartis_and_Mertikopoulos_2023_Optimization_challenges_in.pdf

(Preview, Version of record, pdf, 182.5KB, Terms of use)

Publisher copy:: 10.1016/j.ejco.2023.100064

Authors

+ Cartis, C More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Mathematical Institute
Oxford college:: Balliol College
Role:: Author
ORCID:: 0000-0002-0963-5550

+ Mertikopoulos, P More by this author

Role:: Author

Publisher:: Elsevier
Journal:: EURO Journal on Computational Optimization More from this journal
Volume:: 11
Article number:: 100064
Publication date:: 2023-03-24
DOI:: 10.1016/j.ejco.2023.100064
EISSN:: 2192-4414
ISSN:: 2192-4406

Language:: English
Subtype:: Editorial
Pubs id:: 1342556
Local pid:: pubs:1342556
Deposit date:: 2024-10-12

Terms of use

Copyright holder:: Cartis and Mertikopoulos
Copyright date:: 2023
Rights statement:: © 2023 The Author(s). Published by Elsevier Ltd on behalf of Association of European Operational Research Societies (EURO). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Licence:: CC Attribution (CC BY)

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