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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

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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