Results 121 to 130 of about 16,083 (234)

Regularized extreme learning machine based on variable step alternating direction method of multipliers

Shenzhen Daxue xuebao. Ligong ban
To address the deficiency of slow convergence rate and stagnation of error decay during later iteration of alternating direction method of multipliers (ADMM) for regularized extreme learning machine (RELM), we propose a dynamic step size ADMM-based RELM ...
LU Huihuang, ZOU Weidong, LI Yuxiang
doaj   +1 more source

Convergence analysis on the alternating direction method of multipliers for the cosparse optimization problem

, 2023
From a dual perspective of the sparse representation model, Nam et al. proposed the cosparse analysis model. In this paper, we aim to investigate the convergence of the alternating direction method of multipliers (ADMM) for the cosparse optimization ...
Zhang, Ting, Liu, Zisheng
core  

Parallel direction method of multipliers

, 2014
We consider the problem of minimizing block-separable (non-smooth) convex functions subject to linear constraints. While the Alternating Direction Method of Multipliers (ADMM) for two-block linear constraints has been intensively studied both ...
Arindam Banerjee, Huahua Wang, Zhi-quan Luo   +2 more
core  

Distributed load balancing using Alternating Direction Method of Multipliers

, 2014
Load balancing is a major issue in networking, where the traffic load is effectively distributed across multiple paths of a network graph. Practical networks have recently grown larger in size and complexity and demand, which necessitates the notion of ...
Kalantari, Mehdi, Sheikhattar, Alireza, Alireza Sheikhattar, Mehdi Kalantari   +3 more
core   +1 more source

Research on Coordinated Optimization and Dispatch of Multi⁃Microgrid Systems Based on ADMM

Liaoning Shiyou Huagong Daxue xuebao
This paper proposes a distributed coordinated optimization method for multi⁃microgrid systems based on the Alternating Direction Method of Multipliers (ADMM). The proposed model comprehensively accounts for generation costs, energy storage operation, and
Qiwen LIU, Shiyu DU, Yuanbo SHI
doaj   +1 more source

Alternating Direction Method of Multipliers (ADMM) Techniques for Embedded Mixed-Integer Quadratic Programming and Applications

, 2020
In this project, we delve into an important class of constrained nonconvex problems known as mixed-integer quadratic programming (MIQP). The popularity of MIQP is primarily due to the fact that many real-world problems can be described via MIQP models ...
Liu, Jiaqi
core  

Applications of the alternating direction method of multipliers to the semidefinite inverse quadratic eigenvalue problem with a partial eigenstructure [PDF]

, 2013
National Natural Science Foundation of China [11271308]; Natural Science Foundation of Fujian Province of China for Distinguished Young Scholars [2010J06002]; NCET; General Research Fund from Hong Kong Research Grants Council [203712]This paper shows ...
Bai, Zhengjian, 白正简, Yuan, Xiaoming, Chen, Meixiang   +3 more
core  

Optimizing data science problems with ADMM (Alternating direction method of multipliers)

L'Alternating Direction Method of Multipliers (ADMM) és un mètode d'optimització que permet descompondre problemes complexos en subproblemes més simples, facilitant-ne la resolució. Formalment, ADMM s’aplica a problemes d'optimització convexa amb estructura separable, combinant tècniques de multiplicadors i mètodes de descomposició. L'objectiu d’aquest
openaire   +1 more source

Group-Based Asynchronous Distributed Alternating Direction Method of Multipliers in Multicore Cluster

, 2019
The distributed alternating direction method of multipliers (ADMM) algorithm is one of the effective methods to solve the global consensus optimization problem.
Wang, Dongxia, Lei, Yongmei, Jiang, Shenghong   +2 more
core  

Reconstruction algorithm for photoacoustic tomography based on the L-alternating direction method of multipliers model. [PDF]

J Biomed Opt
Wang X, Ren X, Wang H.
europepmc   +1 more source