Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces
Author:
Funder
Ministerio de Economía y Competitividad
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11075-018-0608-x.pdf
Reference27 articles.
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3. Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces. Springer, New York (2011)
4. Bauschke, H.H., Bello-Cruz, J., Nghia, T.T., Phan, H.M., Wang, X.: The rate of linear convergence of the Douglas–Rachford algorithm for subspaces is the cosine of the Friedrichs angle. J. Approx. Theory 185, 63–79 (2014)
5. Bauschke, H.H., Bello-Cruz, J., Nghia, T.T., Phan, H.M., Wang, X.: Optimal rates of linear convergence of relaxed alternating projections and generalized Douglas–Rachford methods for two subspaces. Numer. Algor. 73(1), 33–76 (2016)
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