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Convergence Analysis of the Generalized Alternating Direction Method of Multipliers with Logarithmic–Quadratic Proximal Regularization

Min Li (), Xinxin Li () and Xiaoming Yuan ()
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Min Li: Southeast University
Xinxin Li: Hong Kong Baptist University
Xiaoming Yuan: Hong Kong Baptist University

Journal of Optimization Theory and Applications, 2015, vol. 164, issue 1, No 11, 218-233

Abstract: Abstract We consider combining the generalized alternating direction method of multipliers, proposed by Eckstein and Bertsekas, with the logarithmic–quadratic proximal method proposed by Auslender, Teboulle, and Ben-Tiba for solving a variational inequality with separable structures. For the derived algorithm, we prove its global convergence and establish its worst-case convergence rate measured by the iteration complexity in both the ergodic and nonergodic senses.

Keywords: Generalized alternating direction method of multipliers; Logarithmic–quadratic proximal method; Convergence rate; Variational inequality; 90C25; 90C33; 65K05 (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10957-014-0567-x

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