Abstract
In this chapter we study the convergence of dynamic string-maximum methods for solving common fixed point problems in a metric space. Our main goal is to obtain an approximate solution of the problem using perturbed algorithms. We show that the inexact iterative method generates an approximate solution if perturbations are summable.
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Zaslavski, A.J. (2018). Dynamic String-Maximum Methods in Metric Spaces. In: Algorithms for Solving Common Fixed Point Problems. Springer Optimization and Its Applications, vol 132. Springer, Cham. https://doi.org/10.1007/978-3-319-77437-4_4
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DOI: https://doi.org/10.1007/978-3-319-77437-4_4
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77436-7
Online ISBN: 978-3-319-77437-4
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