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Augmented Lagrangian method
Known as:
Alternating direction method of multipliers
Â
Augmented Lagrangian methods are a certain class of algorithms for solving constrained optimization problems. They have similarities to penalty…Â
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Wikipedia
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Topic mentions per year
1974-2018
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1974
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Related topics
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23 relations
AMPL
Algorithm
Barrier function
Basis pursuit
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Related mentions per year
Related mentions per year
1936-2018
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Augmented Lagrangian method
Algorithm
Sparse matrix
Feature selection
Compressed sensing
Subroutine
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
An augmented Lagrangian method for distributed optimization
Nikolaos Chatzipanagiotis
,
Darinka Dentcheva
,
Michael M. Zavlanos
Math. Program.
2015
We propose a novel distributed method for convex optimization problems with a certain separability structure. The method is based…Â
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Highly Cited
2011
Highly Cited
2011
An Augmented Lagrangian Method for Total Variation Video Restoration
Stanley H. Chan
,
Ramsin Khoshabeh
,
Kristofor B. Gibson
,
Philip E. Gill
,
Truong Q. Nguyen
IEEE Transactions on Image Processing
2011
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does…Â
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Highly Cited
2011
Highly Cited
2011
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
Manya V. Afonso
,
José M. Bioucas-Dias
,
Mário A. T. Figueiredo
IEEE Transactions on Image Processing
2011
We propose a new fast algorithm for solving one of the standard approaches to ill-posed linear inverse problems (IPLIP), where a…Â
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Highly Cited
2010
Highly Cited
2010
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
Xin-Yuan Zhao
,
Defeng Sun
,
Kim-Chuan Toh
SIAM Journal on Optimization
2010
We consider a Newton-CG augmented Lagrangian method for solving semidefinite programming (SDP) problems from the perspective of…Â
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Highly Cited
2010
Highly Cited
2010
Alternating direction augmented Lagrangian methods for semidefinite programming
Zaiwen Wen
,
Donald Goldfarb
,
Wotao Yin
Math. Program. Comput.
2010
We present an alternating direction method based on an augmented Lagrangian framework for solving semidefinite programming (SDP…Â
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Highly Cited
2010
Highly Cited
2010
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
Chunlin Wu
,
Xue-Cheng Tai
SIAM J. Imaging Sciences
2010
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268…Â
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2009
2009
Dual-Augmented Lagrangian Method for Efficient Sparse Reconstruction
Ryota Tomioka
,
Masashi Sugiyama
IEEE Signal Processing Letters
2009
We propose an efficient algorithm for sparse signal reconstruction problems. The proposed algorithm is an augmented Lagrangian…Â
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2008
2008
Improving ultimate convergence of an augmented Lagrangian method
Ernesto G. Birgin
,
José Mario MartÃnez
Optimization Methods and Software
2008
Optimization methods that employ the classical Powell-Hestenes-Rockafellar Augmented Lagrangian are useful tools for solving…Â
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2004
2004
Partially Augmented Lagrangian Method for Matrix Inequality Constraints
Dominikus Noll
,
Mounir Torki
,
Pierre Apkarian
SIAM Journal on Optimization
2004
We discuss a partially augmented Lagrangian method for optimization programs with matrix inequality constraints. A global…Â
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Highly Cited
2002
Highly Cited
2002
A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds
Robert Michael Lewis
,
Virginia Torczon
SIAM Journal on Optimization
2002
We give a pattern search method for nonlinearly constrained optimization that is an adaption of a bound constrained augmented…Â
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