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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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Related topics

Related topics

24 relations
AMPLAlgorithmBarrier functionBasis pursuit
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems
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
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems
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
Alternating direction augmented Lagrangian methods for semidefinite programming
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
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
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
A variable splitting augmented Lagrangian approach to linear spectral unmixing
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
SHORT-TERM GENERATION SCHEDULING WITH TRANSMISSION AND ENVIRONMENTAL CONSTRAINTS USING AN AUGMENTED LAGRANGIAN RELAXATION
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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
Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
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
Improving ultimate convergence of an augmented Lagrangian method
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
On Augmented Lagrangian Methods with General Lower-Level Constraints
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
An Augmented Lagrangian-Based Approach to the Oseen Problem
We describe an effective solver for the discrete Oseen problem based on an augmented Lagrangian formulation of the corresponding… Expand
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