A successive centralized circumcentered-reflection method for the convex feasibility problem-Reference-Cited by-同舟云学术

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A successive centralized circumcentered-reflection method for the convex feasibility problem

Published:2023-08-11 Issue:1 Volume:87 Page:83-116
ISSN:0926-6003
Container-title:Computational Optimization and Applications
language:en
Short-container-title:Comput Optim Appl

Author:

Behling Roger^ORCID,Bello-Cruz Yunier^ORCID,Iusem Alfredo^ORCID,Liu Di^ORCID,Santos Luiz-Rafael^ORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Division of Mathematical Sciences

Fundação Carlos Chagas Filho de Amparo á Pesquisa do Estado do Rio de Janeiro

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Control and Optimization

Link

https://link.springer.com/content/pdf/10.1007/s10589-023-00516-w.pdf

Reference51 articles.

1. Combettes, P.L.: The convex feasibility problem in image recovery. In: Hawkes, P.W. (ed.) Advances in Imaging and Electron Physics, pp. 155–270. Elsevier, San Diego (1996). https://doi.org/10.1016/S1076-5670(08)70157-5

2. Hu, Y., Li, C., Yang, X.: On convergence rates of linearized proximal algorithms for convex composite optimization with applications. SIAM J. Optim. 26(2), 1207–1235 (2016). https://doi.org/10.1137/140993090

3. Wang, J., Hu, Y., Li, C., Yao, J.-C.: Linear convergence of CQ algorithms and applications in gene regulatory network inference. Inverse Prob. 33(5), 055017 (2017). https://doi.org/10.1088/1361-6420/aa6699

4. Bauschke, H.H., Borwein, J.M.: On projection algorithms for solving convex feasibility problems. SIAM Rev. 38(3), 367–426 (1996). https://doi.org/10.1137/S0036144593251710

5. De Pierro, A.R., Iusem, A.N.: A simultaneous projections method for linear inequalities. Linear Algebra Appl. 64, 243–253 (1985). https://doi.org/10.1016/0024-3795(85)90280-0

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