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Gradient Methods on Strongly Convex Feasible Sets and Optimal Control of Affine Systems
The paper presents new results about convergence of the gradient projection and the conditional gradient methods for abstract minimization problems on strongly convex sets. In particular, linear convergence is proved, although the objective functional does not need to be convex. Such problems arise,...
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| Publicado no: | Appl Math Optim |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7319312/ https://ncbi.nlm.nih.gov/pubmed/32624632 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00245-018-9528-3 |
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