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An augmented Lagrangian method for distributed optimization

Mathematical Programming, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nikolaos Chatzipanagiotis   +2 more
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Augmented Lagrangian method for probabilistic optimization

Annals of Operations Research, 2011
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Darinka Dentcheva   +1 more
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An augmented Lagrangian method for video restoration

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does not consider video restoration as a sequence of image restoration problems. Rather, it treats a video sequence as a space-time volume and poses a space-time total variation regularization to enhance the smoothness of the ...
Stanley H. Chan   +4 more
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Inexact accelerated augmented Lagrangian methods

Computational Optimization and Applications, 2015
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Myeongmin Kang   +2 more
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An Augmented Lagrangian method for quasi-equilibrium problems

Computational Optimization and Applications, 2020
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Luis Felipe Bueno   +3 more
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The Stochastic Augmented Lagrangian method for domain adaptation

Knowledge-Based Systems, 2022
Abstract Among various topics explored in the transfer learning community, domain adaptation (DA) has been of primary interest and successfully applied in diverse fields. However, theoretical understanding of learning convergence in DA has not been sufficiently explored.
Zhanhong Jiang   +5 more
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Implementation of Augmented Lagrangian Methods for Equilibrium Problems

Journal of Optimization Theory and Applications, 2015
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Mostafa Nasri   +3 more
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A Consensus-Based Distributed Augmented Lagrangian Method

2018 IEEE Conference on Decision and Control (CDC), 2018
In this paper, we propose a distributed algorithm to solve multi-agent constrained optimization problems. Specifically, we employ the recently developed Accelerated Distributed Augmented Lagrangian (ADAL) algorithm that has been shown to exhibit faster convergence rates in practice compared to relevant distributed methods. Distributed implementation of
Yan Zhang 0043, Michael M. Zavlanos
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A new family of penalties for augmented Lagrangian methods

Numerical Linear Algebra with Applications, 2008
AbstractWe study a family of penalty functions for augmented Lagrangian methods, and concentrate on a penalty based on the modified logarithmic barrier function. The convex conjugate of this penalty induces a Bregman distance, and the dual iterates associated with the augmented Lagrangian algorithm correspond to the iterates produced by a proximal ...
Luiz Carlos Matioli, Clóvis C. Gonzaga
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Convergence Rate of the Augmented Lagrangian SQP Method

Journal of Optimization Theory and Applications, 1997
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D. Kleis, Ekkehard W. Sachs
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