Results 111 to 120 of about 16,083 (234)

Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers

, 2013
We propose a new stochastic dual coordinate ascent technique that can be applied to a wide range of regularized learning problems. Our method is based on Alternating Direction Method of Multipliers (ADMM) to deal with complex regularization functions ...
Taiji Suzuki
core  

Efficient Implementation of Kernel Regularization Based on ADMM and Its Application to Room Impulse Response Estimation

IEEE Access
This work discusses an efficient implementation of the kernel regularization method. In particular, this work focuses on the Alternating Direction Method of Multipliers (ADMM) which is one of the convex optimization methods.
Yusuke Fujimoto, Yuki Okamoto, Ken Takaki   +2 more
doaj   +1 more source

Applications of the Alternating Direction Method of Multipliers to the Semidefinite Inverse Quadratic Eigenvalue Problem with Partial Eigenstructure

, 2013
This paper shows that the alternating direction method of multipliers (ADMM) is efficient for solving the semidefinite inverse quadratic eigenvalue problem (SDIQEP) with partial eigenstructure.
Bai, Zhengjian, Meixiang Chen, Xiaoming Yuan, Yuan, Xiaoming, Zhengjian Bai, Chen, Meixiang   +5 more
core   +1 more source

Adaptive stochastic alternating direction method of multipliers

, 2015
The Alternating Direction Method of Multipliers (ADMM) has been studied for years. Traditional ADMM algorithms need to compute, at each iteration, an (empirical) expected loss function on all training examples, resulting in a computational complexity ...
Zhao, Peilin, Li, Ping, Zhang, Tong, Yang, Jinwei   +3 more
core  

An Alternating Direction Method of Multipliers for Constrained Joint Diagonalization by Congruence (Invited Paper)

, 2015
International audienceIn this paper, we address the problem of joint diagonalization by congruence (i.e. the canonical polyadic decomposition of semi-symmetric 3rd order tensors) subject to arbitrary convex constraints.
Jean-Christophe Pesquet, Laurent Albera, Lu Wang, Wang, Lu, Albera, Laurent, Senhadji, Lotfi, Lotfi Senhadji, Pesquet, Jean-Christophe   +7 more
core   +1 more source

MIMO detection and equalization for single carrier systems using the alternating direction method of multipliers

, 2016
In this letter, a multiple-input multiple-output detection algorithm based on the alternating direction method of the multipliers (ADMM) is proposed for single-carrier transmissions in time dispersive channels. The ADMM is applied as a heuristic to solve
Dinis, Rui, Souto, N., Souto, Nuno, Dinis, R.   +3 more
core   +2 more sources

A multi-agent optimal operation methodology of electric, thermal, and hydrogen integrated energy system based on ADMM algorithm

Frontiers in Energy Research
This article presents a study on the distributed optimization operation method for micro-energy grid clusters within an electric, thermal, and hydrogen integrated energy system.
Dongxu Zhou, Jingzhou Xu, Can Zhang, Pengchao Wei, Guangsheng Pan, Zhongfan Gu   +5 more
doaj   +1 more source

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  

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

Distributed Coordination Optimization for Economic Operation of the Multi-Microgrid System Based on Improved Linearization ADMM

Zhongguo dianli
Traditional centralized optimization strategies for multi microgrid systems have the problem of long computational time, while the distributed optimization strategies can effectively reduce the solving time.
Kun HUANG, Ming FU, Jiaxiang ZHAI, Haochen HUA   +3 more
doaj   +1 more source