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Augmented Lagrangian method

Known as: Alternating direction method of multipliers 
Augmented Lagrangian methods are a certain class of algorithms for solving constrained optimization problems. They have similarities to penalty… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
This paper reviews distributed/decentralized algorithms to solve the optimal power flow (OPF) problem in electric power systems… Expand
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Review
2017
Review
2017
Historically, centrally computed algorithms have been the primary means of power system optimization and control. With increasing… Expand
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Highly Cited
2010
Highly Cited
2010
We present an alternating direction dual augmented Lagrangian method for solving semidefinite programming (SDP) problems in… Expand
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Highly Cited
2010
Highly Cited
2010
We consider a Newton-CG augmented Lagrangian method for solving semidefinite programming (SDP) problems from the perspective of… Expand
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Highly Cited
2009
Highly Cited
2009
This paper presents a new linear hyperspectral unmixing method of the minimum volume class, termed simplex identification via… Expand
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Highly Cited
2009
Highly Cited
2009
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  • 2009
  • Corpus ID: 16512795
This paper proposes a new approach based on augmented Lagrangian relaxation for short term generation scheduling problem with… Expand
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Highly Cited
2009
Highly Cited
2009
In the recent decades the ROF model (total variation (TV) minimization) has made great successes in image restoration due to its… Expand
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Highly Cited
2008
Highly Cited
2008
Optimization methods that employ the classical Powell-Hestenes-Rockafellar augmented Lagrangian are useful tools for solving… Expand
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Highly Cited
2007
Highly Cited
2007
Augmented Lagrangian methods with general lower-level constraints are considered in the present research. These methods are… Expand
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Highly Cited
2006
Highly Cited
2006
We describe an effective solver for the discrete Oseen problem based on an augmented Lagrangian formulation of the corresponding… Expand
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