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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
We detail a field-programmable gate array (FPGA) based implementation of linear programming (LP) decoding. LP decoding frames… 
2014
2014
In this paper, we present a solution to the constrained l1-norm minimization problem for sparse SAR imaging. The technique we… 
2011
2011
Update summarization is to summarize a document collection B given that the users have already read another document collection A… 
2009
2009
In a wireless sensor network (WSN) setting, this paper presents a distributed decision-making framework and illustrates its… 
2005
2005
A variant of the augmented Lagrangian-type algorithm for strictly convex quadratic programming problems with bounds and equality… 
2001
2001
The paper presents a framework that unifies various search mechanisms for solving constrained nonlinear programming (NLP… 
1999
1999
This work presents a convergence theory for Dennis, El-Alem, and Maciel's class of trust-region-based algorithms for solving the… 
1998
1998
The stability of the Lagrangian points and the vertical periodic orbits around them is examined in the context of barred galaxies… 
1990
1990
An algorithm based on the augmented Lagrangian method is developed for so-called Impedance Computed Tomography, which is a… 
1982
1982
The recently proposed quasi-Newton method for constrained optimization has very attractive local convergence properties. To force…