Numerical methods for solving some matrix feasibility problems-Reference-Cited by-同舟云学术

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Numerical methods for solving some matrix feasibility problems

Published:2016-06-07 Issue:2 Volume:74 Page:461-479
ISSN:1017-1398
Container-title:Numerical Algorithms
language:en
Short-container-title:Numer Algor

Author:

Duan Xue-Feng,Li Chun-Mei,Li Jiao-Fen,Ding Yong

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China (CN)

Natural Science Foundation of Guangxi Province

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Link

http://link.springer.com/content/pdf/10.1007/s11075-016-0155-2.pdf

Reference27 articles.

1. Aleyner, A., Reich, S.: Block-iterative algorithms for solving convex feasibility problems in Hilbert and in Banach spaces. J. Math. Anal. Appl. 343, 427–435 (2008)

2. Bauschke, H.H., Borwein, J.M.: On projection algorithms for solving convex feasibility problems. SIAM Rev. 38, 367–426 (1996)

3. Bauschke, H.H., Borwein, J.M.: On the convergence of von Neumann’s alternating projection algorithm for two sets. Set-Valued Analysis 1, 185–212 (1993)

4. Bauschke, H.H., Combettes, P.L.: Convex analysis and monotone operator theory in Hilbert spaces. Springer (2011)

5. Bauschke, H.H., Combettes, P.L., Kruk, S.G.: Extrapolation algorithm for affine-convex feasibility problems. Numer. Algorithms 41, 239–274 (2006)

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