Proximal-gradient algorithms for fractional programming

In this paper, we propose two proximal-gradient algorithms for fractional programming problems in real Hilbert spaces, where the numerator is a proper, convex and lower semicontinuous function and the denominator is a smooth function, either concave or convex. In the iterative schemes, we perform a...

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Detalles Bibliográficos
Autores principales: Boţ, Radu Ioan, Csetnek, Ernö Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632963/
https://www.ncbi.nlm.nih.gov/pubmed/33116346
http://dx.doi.org/10.1080/02331934.2017.1294592

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632963/
https://www.ncbi.nlm.nih.gov/pubmed/33116346
http://dx.doi.org/10.1080/02331934.2017.1294592

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