Additive Schwarz Methods for Convex Optimization – Convergence Theory and Acceleration
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, Jongho | ko |
| dc.date.accessioned | 2023-09-14T09:00:55Z | - |
| dc.date.available | 2023-09-14T09:00:55Z | - |
| dc.date.created | 2023-09-14 | - |
| dc.date.issued | 2020-12 | - |
| dc.identifier.citation | 26th International Conference on Domain Decomposition Methods, 2020, pp.715 - 723 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/312635 | - |
| dc.description.abstract | In this paper, we present a unified view of some notable recent results [8, 9] on additive Schwarz methods for convex optimization (1). The starting point is the generalized additive Schwarz lemma presented in [9]. | - |
| dc.language | English | - |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | - |
| dc.title | Additive Schwarz Methods for Convex Optimization – Convergence Theory and Acceleration | - |
| dc.type | Conference | - |
| dc.identifier.scopusid | 2-s2.0-85151117178 | - |
| dc.type.rims | CONF | - |
| dc.citation.beginningpage | 715 | - |
| dc.citation.endingpage | 723 | - |
| dc.citation.publicationname | 26th International Conference on Domain Decomposition Methods, 2020 | - |
| dc.identifier.conferencecountry | CC | - |
| dc.identifier.conferencelocation | Virtual | - |
| dc.identifier.doi | 10.1007/978-3-030-95025-5_78 | - |
| dc.contributor.localauthor | Park, Jongho | - |
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