A proximal regularization of the steepest descent method
A. N. Iusem, B. F. Svaiter (1995)
RAIRO - Operations Research - Recherche Opérationnelle
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Displaying similar documents to “A generalized proximal point algorithm for the nonlinear complementarity problem”
A proximal regularization of the steepest descent method
Relatively inexact proximal point algorithm and linear convergence analysis.
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J. F. Bonnans, M. Bouhtou (1995)
RAIRO - Operations Research - Recherche Opérationnelle
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Second-order differential proximal methods for equilibrium problems.
Moudafi, A. (2003)
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Super-relaxed -proximal point algorithms, relaxed -proximal point algorithms, linear convergence analysis, and nonlinear variational inclusions.
Agarwal, Ravi P., Verma, Ram U. (2009)
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Partially relaxed cocoercive variational inqualities and auxiliary problem principle.
Verma, Ram U. (2004)
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P. Mahey, Pham Dinh Tao (1993)
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Generalized partially relaxed pseudomonotone variational inequalities and general auxiliary problem principle.
Verma, Ram U. (2006)
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A new method for solving monotone generalized variational inequalities.
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Rescaled proximal methods for linearly constrained convex problems
Paulo J.S. Silva, Carlos Humes (2007)
RAIRO - Operations Research
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We present an inexact interior point proximal method to solve linearly constrained convex problems. In fact, we derive a primal-dual algorithm to solve the KKT conditions of the optimization problem using a modified version of the rescaled proximal method. We also present a pure primal method. The proposed proximal method has as distinctive feature the possibility of allowing inexact inner steps even for Linear Programming. This is achieved by using an error criterion that ...