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… (More)
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Topic mentions per year

Topic mentions per year

1974-2018
020040019742018

Papers overview

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2015
2015
We propose a novel distributed method for convex optimization problems with a certain separability structure. The method is based… (More)
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Highly Cited
2011
Highly Cited
2011
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does… (More)
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Highly Cited
2011
Highly Cited
2011
We propose a new fast algorithm for solving one of the standard approaches to ill-posed linear inverse problems (IPLIP), where a… (More)
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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… (More)
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Highly Cited
2010
Highly Cited
2010
We present an alternating direction method based on an augmented Lagrangian framework for solving semidefinite programming (SDP… (More)
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Highly Cited
2010
Highly Cited
2010
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268… (More)
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2009
2009
We propose an efficient algorithm for sparse signal reconstruction problems. The proposed algorithm is an augmented Lagrangian… (More)
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2008
2008
Optimization methods that employ the classical Powell-Hestenes-Rockafellar Augmented Lagrangian are useful tools for solving… (More)
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2004
2004
We discuss a partially augmented Lagrangian method for optimization programs with matrix inequality constraints. A global… (More)
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Highly Cited
2002
Highly Cited
2002
We give a pattern search method for nonlinearly constrained optimization that is an adaption of a bound constrained augmented… (More)
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