Generalized viscosity approximation method for solving split generalized mixed equilibrium problem with application to compressed sensing

Abstract

In this study, we establish a new inertial generalized viscosity approximation method and prove that the resulting sequence strongly converges to a common solution of a split generalized mixed equilibrium problem, fixed point problem for a finite family of nonexpansive mappings and hierarchical fixed point problem in real Hilbert spaces. As an application, we demonstrate the use of our main finding in compressed sensing in signal processing. Additionally, we include numerical examples to evaluate the efficiency of the suggested method and then conduct a comparative analysis of its efficiency with different methods. Our findings can be used in a variety of contexts to improve results.

Keywords

• projection operator
• hierarchical fixed point
• equilibrium problem
• cq-algorithm
• approximation
• iterative methods
• numerical results