Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law (Q6418101)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law |
preprint article from arXiv
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law |
preprint article from arXiv |
Statements
22 November 2022
0 references
math.NA
0 references
cs.NA
0 references
cs.NE
0 references
math.AP
0 references
math.OC
0 references
Konstantin Riedl
0 references
