Distributed Subgradient Algorithm for Multi-Agent Convex Optimization with Global Inequality and Equality Constraints

Applied and Computational Mathematics ◽

10.11648/j.acm.20160505.15 ◽

2016 ◽

Vol 5 (5) ◽

pp. 213 ◽

Author(s):

Li Xiao

Keyword(s):

Convex Optimization ◽

Equality Constraints ◽

Global Inequality ◽

Multi Agent ◽

Subgradient Algorithm

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An approximate dual subgradient algorithm for multi-agent non-convex optimization

49th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2010.5717220 ◽

2010 ◽

Author(s):

Minghui Zhu ◽

Sonia Martinez

Keyword(s):

Convex Optimization ◽

Multi Agent ◽

Subgradient Algorithm

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An Approximate Dual Subgradient Algorithm for Multi-Agent Non-Convex Optimization

IEEE Transactions on Automatic Control ◽

10.1109/tac.2012.2228038 ◽

2013 ◽

Vol 58 (6) ◽

pp. 1534-1539 ◽

Author(s):

Minghui Zhu ◽

Sonia Martinez

Keyword(s):

Convex Optimization ◽

Multi Agent ◽

Subgradient Algorithm

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Distributed Subgradient Algorithm for Multi-agent Convex Optimization with Local Constraint Sets

Applied and Computational Mathematics ◽

10.11648/j.acm.20160503.19 ◽

2016 ◽

Vol 5 (3) ◽

pp. 150 ◽

Author(s):

Qingguo Lü

Keyword(s):

Convex Optimization ◽

Local Constraint ◽

Multi Agent ◽

Subgradient Algorithm ◽

Constraint Sets

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Distributed Convex Optimization Consensus in Multi-Agent Network Subject to Equality Constraints

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2018.8515989 ◽

2018 ◽

Author(s):

Daduan Zhao ◽

Tao Dong ◽

XiaoLi Li ◽

Yan Li

Keyword(s):

Convex Optimization ◽

Equality Constraints ◽

Multi Agent ◽

Distributed Convex Optimization

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On Local Computation for Network-Structured Convex Optimization in Multi-Agent Systems

IEEE Transactions on Control of Network Systems ◽

10.1109/tcns.2021.3050129 ◽

2021 ◽

pp. 1-1

Author(s):

Robin Brown ◽

Federico Rossi ◽

Kiril Solovey ◽

Matthew Tsao ◽

Michael T. Wolf ◽

...

Keyword(s):

Convex Optimization ◽

Multi Agent Systems ◽

Local Computation ◽

Agent Systems ◽

Structured Convex Optimization ◽

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Multi-agent reinforcement learning for convex optimization

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III ◽

10.1117/12.2585624 ◽

2021 ◽

Author(s):

Amir Morcos ◽

Aaron West ◽

Brian Maguire

Keyword(s):

Reinforcement Learning ◽

Convex Optimization ◽

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Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications

2015 54th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2015.7402236 ◽

2015 ◽

Author(s):

Ruggero Carli ◽

Giuseppe Notarstefano ◽

Luca Schenato ◽

Damiano Varagnolo

Keyword(s):

Convex Optimization ◽

Multi Agent ◽

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A proximal center-based decomposition method for multi-agent convex optimization

2008 47th IEEE Conference on Decision and Control ◽

10.1109/cdc.2008.4738764 ◽

2008 ◽

Author(s):

Ion Necoara ◽

Johan A.K. Suykens

Keyword(s):

Convex Optimization ◽

Decomposition Method ◽

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An Optimal Subgradient Algorithm with Subspace Search for Costly Convex Optimization Problems

Bulletin of the Iranian Mathematical Society ◽

10.1007/s41980-018-0171-1 ◽

2018 ◽

Vol 45 (3) ◽

pp. 883-910

Author(s):

Masoud Ahookhosh ◽

Arnold Neumaier

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Subgradient Algorithm ◽

Subspace Search

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An optimal subgradient algorithm for large-scale bound-constrained convex optimization

Mathematical Methods of Operations Research ◽

10.1007/s00186-017-0585-1 ◽

2017 ◽

Vol 86 (1) ◽

pp. 123-147 ◽

Author(s):

Masoud Ahookhosh ◽

Arnold Neumaier

Keyword(s):

Convex Optimization ◽

Large Scale ◽

Constrained Convex Optimization ◽

Subgradient Algorithm

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