Strong convergence of expected-projection methods in hilbert spaces-Reference-Cited by-同舟云学术

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Strong convergence of expected-projection methods in hilbert spaces

Published:1995-01 Issue:5-6 Volume:16 Page:601-636
ISSN:0163-0563
Container-title:Numerical Functional Analysis and Optimization
language:en
Short-container-title:Numerical Functional Analysis and Optimization

Author:

Butnariu Dan,Didrik Fl[adot]m Sjur

Publisher

Informa UK Limited

Subject

Control and Optimization,Computer Science Applications,Signal Processing,Analysis

Link

http://www.tandfonline.com/doi/pdf/10.1080/01630569508816635

Reference49 articles.

1. The Relaxation Method for Linear Inequalities

2. Block-iterative projection methods for parallel computation of solutions to convex feasibility problems

3. Aubin, J.P. and Cellina, A. 1984. “Differential Inclusions”. Berlin, Heidelberg, New York, Tokyo: Springer Verlag.

4. Aubin, J.P. and Frankowska, H. 1990. “Set-Valued Analysis”. Boston: Birkhauser.

5. Auslender, A. 1976. “Optimisation - Méthodes Numériques”. Paris, New York, Barcelona, Milan: Masson.

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