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The Proximal Alternating Minimization Algorithm for Two-Block Separable Convex Optimization Problems with Linear Constraints
The Alternating Minimization Algorithm has been proposed by Paul Tseng to solve convex programming problems with two-block separable linear constraints and objectives, whereby (at least) one of the components of the latter is assumed to be strongly convex. The fact that one of the subproblems to be...
Zapisane w:
| Wydane w: | J Optim Theory Appl |
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| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer US
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6560466/ https://ncbi.nlm.nih.gov/pubmed/31258180 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10957-018-01454-y |
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