A new self-adaptive inertial algorithm with $W$-mapping for solving split feasibility problem in Banach spaces

In this paper, the split feasibility problem is studied in real Banach spaces. Through the $W$-mapping, a new iterative algorithm with the inertial technique for solving the split feasibility problem is proposed, which the step size is self-adaptive and no prior estimation of operator norm is required. We prove that the proposed algorithm converges weakly to a solution of the split feasibility problem under some mild conditions. Finally, the effectiveness of the proposed algorithm is indicated by numerical experiments. Our results are innovative and can enrich recently announced related results in the literature.