Adaptive hybrid steepest descent algorithms involving an inertial extrapolation term for split monotone variational inclusion problems
Zheng Zhou, Bing Tan, Songxiao Li · Mathematical Methods in the Applied Sciences · 2021
In this paper, we discuss the split monotone variational inclusion problem and propose two new inertial algorithms in infinite‐dimensional Hilbert spaces. The iterative sequence by the proposed algorithms converges strongly to the solution of a certain variational inequality with the help of the hybrid steepest descent method. Furthermore, an adaptive step size criterion is considered in suggested algorithms to avoid the difficulty of calculating the operator norm. Meanwhile, our results are also applied to several other types of split problems. Finally, some numerical experiments show that our algorithms are realistic and summarize the known results.