An inertia based viscosity type regularized splitting scheme for finding common solutions of split monotone variational inclusion and fixed point problems
摘要
In this article, we propose a theoretical framework for solving split monotone variational inclusion problems (SMVIP) involving maximal monotone operators and split common fixed point problem (SCFPP) associated with a finite family of demimetric mappings in Hilbert spaces. Within this framework, we employ inertial, Tikhonov regularization and viscosity approximation techniques to develop an iterative algorithm for computing solutions to the SMVIP and SCFPP under suitable control conditions. The effectiveness of the proposed algorithm is established through rigorous convergence analysis and numerical experiments, including real-world applications. Moreover, we demonstrate the advantages of the proposed algorithm over classical algorithms for solving SMVIP and SCFPP. The results presented herein extend and unify several existing works in the literature.