A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Business, Management and Accounting (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11590-022-01893-7.pdf
Reference14 articles.
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2. Saigal, R., Todd, M.J.: Efficient acceleration techniques for fixed point algorithms. SIAM J. Numer. Anal. 15(5), 997–1007 (1978)
3. Walker, H.F., Ni, P.: Anderson acceleration for fixed-point iterations. SIAM J. Numer. Anal. 49(4), 1715–1735 (2011)
4. Jung, A.: A fixed-point of view on gradient methods for big data. Front. Appl. Math. Stat. 3, 18 (2017)
5. Brouwer, L.E.J.: Über abbildung von mannigfaltigkeiten. Math. Ann. 71(1), 97–115 (1911)
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