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Cited article:

On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints

Yair Censor, Wei Chen, Patrick L. Combettes, Ran Davidi and Gabor T. Herman
Computational Optimization and Applications 51 (3) 1065 (2012)
https://doi.org/10.1007/s10589-011-9401-7

Local Linear Convergence for Alternating and Averaged Nonconvex Projections

A. S. Lewis, D. R. Luke and J. Malick
Foundations of Computational Mathematics 9 (4) 485 (2009)
https://doi.org/10.1007/s10208-008-9036-y

The asymptotic behavior of the composition of two resolvents

Heinz H. Bauschke, Patrick L. Combettes and Simeon Reich
Nonlinear Analysis: Theory, Methods & Applications 60 (2) 283 (2005)
https://doi.org/10.1016/j.na.2004.07.054

Global convergence for Newton methods in mathematical programming

J. W. Daniel
Journal of Optimization Theory and Applications 12 (3) 233 (1973)
https://doi.org/10.1007/BF00935105

Penalty function versus non-penalty function methods for constrained nonlinear programming problems

Garth P. McCormick
Mathematical Programming 1 (1) 217 (1971)
https://doi.org/10.1007/BF01584087