Pischke, Nicholas ; Kohlenbach, Ulrich (2024)
Quantitative analysis of a subgradient-type method for equilibrium problems.
In: Numerical Algorithms, 2022, 90 (1)
doi: 10.26083/tuprints-00023489
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Quantitative analysis of a subgradient-type method for equilibrium problems |
Language: | English |
Date: | 24 September 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | May 2022 |
Place of primary publication: | Dordrecht |
Publisher: | Springer Science |
Journal or Publication Title: | Numerical Algorithms |
Volume of the journal: | 90 |
Issue Number: | 1 |
DOI: | 10.26083/tuprints-00023489 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | We use techniques originating from the subdiscipline of mathematical logic called ‘proof mining’ to provide rates of metastability and—under a metric regularity assumption—rates of convergence for a subgradient-type algorithm solving the equilibrium problem in convex optimization over fixed-point sets of firmly nonexpansive mappings. The algorithm is due to H. Iiduka and I. Yamada who in 2009 gave a noneffective proof of its convergence. This case study illustrates the applicability of the logic-based abstract quantitative analysis of general forms of Fejér monotonicity as given by the second author in previous papers. |
Uncontrolled Keywords: | Equilibrium problems, Firmly nonexpansive mappings, Subgradient-type method, Proof mining |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-234897 |
Additional Information: | Mathematics Subject Classification (2010) 47H06, 47J25, 90C33, 03F10 |
Classification DDC: | 500 Science and mathematics > 510 Mathematics |
Divisions: | 04 Department of Mathematics > Logic |
Date Deposited: | 24 Sep 2024 11:36 |
Last Modified: | 26 Sep 2024 07:42 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23489 |
PPN: | 521695899 |
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