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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 en: | Appl Math Optim |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer US
2018
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| Assuntos: | |
| Acceso en liña: | 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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