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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Bibliographic Details

Published in:	Optimization Vol. 66; no. 8; pp. 1383 - 1396
Main Authors:	Boţ, Radu Ioan, Csetnek, Ernö Robert
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis 03.08.2017 Taylor & Francis LLC
Subjects:	Algorithms convergence rate convex subdifferential forward-backward algorithm Fractional programming Iterative methods Kurdyka-ᴌojasiewicz property limiting subdifferential Mathematical programming Programming
ISSN:	0233-1934, 1029-4945, 1029-4945
Online Access:	Get full text
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