Approximate Solutions for Three Fixed Point Problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
https://link.springer.com/content/pdf/10.1007/s10957-023-02313-1.pdf
Reference34 articles.
1. Butnariu, D., Davidi, R., Herman, G.T., Kazantsev, I.G.: Stable convergence behavior under summable perturbations of a class of projection methods for convex feasibility and optimization problems. IEEE J. Sel. Top. Signal Process. 1, 540–547 (2007)
2. Censor, Y., Davidi, R., Herman, G.T.: Perturbation resilience and superiorization of iterative algorithms. Inverse Probl. 26, 065008 (2010)
3. Censor, Y., Davidi, R., Herman, G.T., Schulte, R.W., Tetruashvili, L.: Projected subgradient minimization versus superiorization. J. Optim. Theory Appl. 160, 730–747 (2014)
4. Censor, Y., Elfving, T., Herman, G.T.: Averaging strings of sequential iterations for convex feasibility problems. In: Butnariu, D., Censor, Y., Reich, S. (eds.) Inherently Parallel Algorithms in Feasibility and Optimization and their Applications, pp. 101–113. North-Holland, Amsterdam (2001)
5. Censor, Y., Reem, D.: Zero-convex functions, perturbation resilience, and subgradient projections for feasibility-seeking methods. Math. Program. 152, 339–380 (2015)
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