Results 111 to 120 of about 167,968,449 (203)

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

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

, 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  

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  

A NSGA-II with alternating direction method of multipliers mutation for solving multiobjective robust principal component analysis problem

, 2016
Robust Principal Component Analysis (RPCA), which is a popular parsimony model, is becoming increasingly important for researchers to do data analysis and prediction.
Yuan, Weitao, Chen HN(陈瀚宁), Zou T(邹涛), Liang XD(梁晓丹), Lin N(蔺娜)   +4 more
core  

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

A fundamental proof of convergence of alternating direction method of multipliers for weakly convex optimization

, 2019
The convergence of the alternating direction method of multipliers (ADMMs) algorithm to convex/nonconvex combinational optimization has been well established in the literature.
Tao Zhang, Zhengwei Shen
core   +1 more source

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

An Improved Space-Based ISAR Simulation Method Using Two-Line Element Data. [PDF]

Sensors (Basel)
Zhu W, Hao H, Yu R, Liu D.
europepmc   +1 more source

Distributed electricity-carbon co-optimization of hydrogen energy storage microgrids with dynamic laplace perturbation and model predictive control. [PDF]

PLoS One
Li Z, Liao M, Wang Y, Zhang R, Sun J, Zheng H.   +5 more
europepmc   +1 more source

View-Aligned Nonlocal Low-Rank Tensor Reconstruction for Snapshot Compressive Multi-View Spectral Imaging System. [PDF]

Sensors (Basel)
Yin X, Su L, Wang Y, Yuan Y.
europepmc   +1 more source