Robustness of Krasnoselski-Mann's Algorithm for Asymptotically Nonexpansive Mappings
Yuchao Tang, Liwei Liu · ISRN Mathematical Analysis · 2011
Iterative approximation of fixed points of nonexpansive mapping is a very active theme in many aspects of mathematical and engineering areas, in particular, in image recovery and signal processing. Because the errors usually occur in few places, it is necessary to show that whether the iterative algorithm is robust or not. In the present work, we prove that Krasnoselski-Mann's algorithm is robust for asymptotically nonexpansive mapping in a Banach space setting. Our results generalize the corresponding results existing in the literature.