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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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Detalles Bibliográficos
Autores principales: Veliov, V. M., Vuong, P. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319312/
https://www.ncbi.nlm.nih.gov/pubmed/32624632
http://dx.doi.org/10.1007/s00245-018-9528-3