Inertial algorithms with adaptive stepsizes for split variational inclusion problems and their applications to signal recovery problem

With the help of the Meir-Keeler contraction method and the Mann-type method, two adaptive inertial iterative schemes are introduced for finding solutions of the split variational inclusion problem in Hilbert spaces. The strong convergence of the suggested algorithms is guaranteed by a new stepsize criterion that does not require calculation of the bounded linear operator norm. Some numerical experiments and applications in signal recovery problems are given to demonstrate the efficiency of the proposed algorithms.

Automated summary

This paper introduces two adaptive inertial iterative schemes for finding solutions of the split variational inclusion problem in Hilbert spaces, using the Meir-Keeler contraction method and the Mann-type method. The strong convergence of the suggested algorithms is guaranteed by a new stepsize criterion that does not require calculation of the bounded linear operator norm. Numerical experiments and applications in signal recovery problems are provided to demonstrate the efficiency of the proposed algorithms.