Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5510
Title: A new relaxed inertial Ishikawa-type algorithm for solving fixed points problems with applications to convex optimization problems
Authors: Orim, R. E. 
Ofem, A. E. 
Maharaj, A. 
Narain, O. K. 
Keywords: Fixed point;Inertial technique;Convex optimization problem;Hilbert space
Issue Date: 2024
Publisher: SCIK Publishing Corporation
Source: A new relaxed inertial Ishikawa-type algorithm for solving fixed points problems with applications to convex optimization problems. Asia Pacific Journal of Mathematics, 13 p. doi:10.28924/apjm/11-84
Journal: Asia Pacific Journal of Mathematics 
Abstract: 
In this research, we present a new relaxed intertial algorithm without viscosity for solving
common solution of countable family of nonexpansive mappings in real Hilbert spaces. We obtain the
strong convergence results of the proposed method under some wild conditions on the control parameters.
Weapply our main results to solve convex bilevel optimization problems. Finally, we present a numerical
example to illustrate the efficiency of our method over some existing methods in the literature.
URI: https://hdl.handle.net/10321/5510
ISSN: 2357-2205 (Online)
DOI: 10.28924/apjm/11-84
Appears in Collections:Research Publications (Applied Sciences)

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