General Purpose Optimization Library (Gpol): A Flexible and Efficient Multi-Purpose Optimization Library in Python

AuthID
 P-00V-1S0
5
Author(s)
Bakurov, I
·
Buzzelli, M
·
Schettini, R
Document Type
Article
Year published
2021
Published
in APPLIED SCIENCES-BASEL, ISSN: 2076-3417
Volume: 11, Issue: 11, Pages: 4774 (34)
Indexing
Wos®
Scopus®
Crossref®9
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85107299638
Wos: WOS:000659555700001
Source Identifiers
ISSN: 2076-3417
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