Results 11 to 20 of about 166,468,241 (292)
Distributed Alternating Direction Method of Multipliers [PDF]
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012 We consider a network of agents that are cooperatively solving a global unconstrained optimization problem, where the objective function is the sum of privately known local objective functions of the agents. Recent literature on distributed optimization methods for solving this problem focused on subgradient based methods, which typically converge at ...
Wei, Ermin, Ozdaglar, Asuman E.
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MathematicsThe alternating direction method is one of the attractive approaches for solving convex optimization problems with linear constraints and separable objective functions.
Jingjing Peng +3 more
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Zhongguo dianliWith the rapid development of various load side resources such as adjustable loads and electric vehicles, how to accurately regulate them has become an important research point.
Juncheng ZHANG +5 more
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Multilevel optimization of economic dispatching in active distribution network based on ADMM
Frontiers in Energy Research, 2023 With the continuous improvement of the penetration rate of renewable energy and the continuous integration of advanced network control technology and measurement equipment, the traditional distribution network is developing into an active distribution ...
Jun Qi +5 more
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Journal of Modern Power Systems and Clean Energy, 2020 In order to obtain an accurate state estimation of the operation in the combined heat and power system, it is necessary to carry out state estimation. Due to the limited information sharing among various energy systems, it is practical to perform state ...
Wenjian Zheng +5 more
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The Chan-Vese Model With Elastica and Landmark Constraints for Image Segmentation
IEEE Access, 2021 In order to completely separate objects with large sections of occluded boundaries in an image, we devise a new variational level set model for image segmentation combining the Chan-Vese model with elastica and landmark constraints.
Jintao Song +4 more
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Alternating direction method of multipliers for polynomial optimization
2023 European Control Conference (ECC), 2023 Multivariate polynomial optimization is a prevalent model for a number of engineering problems. From a mathematical viewpoint, polynomial optimization is challenging because it is non-convex. The Lasserre's theory, based on semidefinite relaxations, provides an effective tool to overcome this issue and to achieve the global optimum.
V Cerone, S Fosson, S Pirrera, D Regruto
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Xibei Gongye Daxue Xuebao, 2022 Aiming at the waveform of missile borne radar is simple and easy to be affected by the repeater jamming in the terminal guidance, an anti-jamming waveform optimization algorithm based on the frequency shift keying(FSK) and phase shift keying(PSK ...
FEI Zhiting +4 more
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An Accelerated Linearized Alternating Direction Method of Multipliers [PDF]
SIAM Journal on Imaging Sciences, 2015 We present a novel framework, namely AADMM, for acceleration of linearized alternating direction method of multipliers (ADMM). The basic idea of AADMM is to incorporate a multi-step acceleration scheme into linearized ADMM. We demonstrate that for solving a class of convex composite optimization with linear constraints, the rate of convergence of AADMM
Yuyuan Ouyang +3 more
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On the linear convergence of the alternating direction method of multipliers [PDF]
Mathematical Programming, 2016 We analyze the convergence rate of the alternating direction method of multipliers (ADMM) for minimizing the sum of two or more nonsmooth convex separable functions subject to linear constraints. Previous analysis of the ADMM typically assumes that the objective function is the sum of only two convex functions defined on two separable blocks of ...
Hong, Mingyi, Luo, Zhi-Quan
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