A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution

We investigate the strong convergence properties of a proximal-gradient inertial algorithm with two Tikhonov regularization terms in connection with the minimization problem of the sum of a convex lower semi-continuous function f and a smooth convex function g. For the appropriate setting of the par...

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Bibliographic Details
Published in:	Optimization methods & software Vol. 40; no. 4; pp. 947 - 976
Main Author:	László, Szilárd Csaba
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 04.07.2025
Subjects:	convex optimization Inertial algorithm optimal rate proximal-gradient algorithm strong convergence Tikhonov regularization
ISSN:	1055-6788, 1029-4937
Online Access:	Get full text
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