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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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Dades bibliogràfiques
Publicat a:Optimization
Autors principals: Boţ, Radu Ioan, Csetnek, Ernö Robert
Format: Artigo
Idioma:Inglês
Publicat: Taylor & Francis 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5632963/
https://ncbi.nlm.nih.gov/pubmed/33116346
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02331934.2017.1294592
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