Results 101 to 110 of about 167,968,449 (203)

Multi-parameter wavefield reconstruction inversion with the alternating direction method of multipliers (ADMM) and compound regularization

Imagerie sismique multi-paramètre par reconstruction de champs d'ondes : apport de la méthode des multiplicateurs de Lagrange avec directions alternées (ADMM) et des régularisations hybrides La FWI (Full Waveform Inversion) est un problème d'optimisation sous contraintes dédié à l'estimation des paramètres constitutifs du sous-sol à ...
openaire   +2 more sources

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  

Fast consensus by the alternating direction multipliers method

, 2011
The alternating direction multipliers method (ADMM) has been recently proposed as a practical and efficient algorithm for distributed computing. We discuss its applicability to the average consensus problem in this paper.
E. Dall'Anese, D. Zennaro, L. Vangelista, VANGELISTA, LORENZO, ERSEGHE, TOMASO, ZENNARO, DAVIDE, DALL'ANESE, EMILIANO, T. Erseghe   +7 more
core   +1 more source

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

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

, 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  

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  

A parallel alternating direction method with application to compound l(1)-regularized imaging inverse problems

, 2016
We derive a parallel alternating direction method of multipliers (PADMM) and apply it to compound l(1)-regularized imaging inverse problems. The proposed method is capable of locating the saddle point of large-scale convex minimization problems with the ...
Hu, Changhua, Zhang, Wei, He, Chuan, Yang, Xiaogang, Li, Xuelong   +4 more
core   +1 more source

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

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

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