Results 31 to 40 of about 167,968,449 (203)
Linear Convergence Rate of Splitting Algorithms for Multi-Block Constrained Convex Minimizations
IEEE Access, 2020 Multi-block linear constrained separable convex minimizations are ubiquitous and have been drawing increasing attention in recent researches. The alternating direction method of multipliers (ADMM) has been well studied and used in the literature for the ...
Xiaoge Deng, Feng Liu, Feng Huang
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A fully distributed method for distributed multiagent system in a microgrid
Energy Reports, 2021 We address the distributed energy management problem of the economic dispatch of grids in order to balance the power demand and supply. By manipulating the primal problem, we show that the resulting dual problem can be solved by using a decentralized ...
Diyako Ghaderyan +2 more
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Sensors, 2023 In order to improve the real-time performance of the trajectory tracking of autonomous vehicles, this paper applies the alternating direction multiplier method (ADMM) to the receding optimization of model predictive control (MPC), which improves the computational speed of the algorithm.
Ding Dong +4 more
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IEEE Transactions on Smart Grid, 2020 For effective engagement of residential demand-side resources and to ensure efficient operation of distribution networks, we must overcome the challenges of controlling and coordinating residential components and devices at scale. In this paper, we present a distributed and scalable algorithm with a three-level hierarchical information exchange ...
Xiao Kou +7 more
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Distributed Alternating Direction Method of Multipliers [PDF]
, 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.
Asuman Ozdaglar +3 more
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Fast Alternating Direction Multipliers Method by Generalized Krylov Subspaces [PDF]
, 2022 The Alternating Direction Multipliers Method (ADMM) is a very popular and powerful algorithm for the solution of many optimization problems. In the recent years it has been widely used for the solution of ill-posed inverse problems.
Buccini A.
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An adaptive alternating direction method of multipliers [PDF]
, 2022 The alternating direction method of multipliers (ADMM) is a powerful splitting algorithm for linearly constrained convex optimization problems. In view of its popularity and applicability, a growing attention is drawn toward the ADMM in nonconvex ...
Phan, Hung M. +2 more
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Convergence Analysis of the Relaxed Proximal Point Algorithm
Abstract and Applied Analysis, 2013 Recently, a worst-case convergence rate was established for the Douglas-Rachford alternating direction method of multipliers (ADMM) in an ergodic sense.
Min Li, Yanfei You
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Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM [PDF]
PeerJ Computer Science, 2021 The Alternating Direction Method of Multipliers (ADMM) is a popular and promising distributed framework for solving large-scale machine learning problems.
Shirin Tavara, Alexander Schliep
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Parallel alternating direction method of multipliers
, 2020 In this paper, we consider the distributed optimization problem, where the objective function is the sum of local cost functions. To solve this problem, a new parallel Alternating Direction Method of Multipliers (ADMM) algorithm is developed, which ...
Li, Guoqi +3 more
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