Adaptive Tseng’s Type Methods for Inclusion and Signal Processing

摘要

This research presents a new non-monotone adaptive step size for Tseng’s type method to solve the monotone inclusion problem. The results were applied to the problem of convex minimization and signal processing, using a basic assumption, numerical testing, and comparisons with other operations to show that the recommended operation was weakly and strongly convergent.