Results 111 to 120 of about 166,464,526 (278)

Convergence Analysis of the Generalized Alternating Direction Method of Multipliers with LogarithmicâQuadratic Proximal Regularization

, 2014
© 2014, Springer Science+Business Media New York. We consider combining the generalized alternating direction method of multipliers, proposed by Eckstein and Bertsekas, with the logarithmicâquadratic proximal method proposed by Auslender, Teboulle, and ...
Li, Xinxin, Li, Min, Yuan, Xiaoming
core   +1 more source

Methodology for Distributed Optimization of Flexible Energy Resources Through Semi-Automated Model Transformation and Deployment

IEEE Open Journal of the Industrial Electronics Society
Effectively utilizing flexible energy resources requires optimizing their operation over time to balance dynamic demand and fluctuating supply from volatile renewable sources. Traditionally, this has been achieved through centralized optimization models,
Vincent Henkel, Lukas Peter Wagner, Maximilian Kilthau, Felix Gehlhoff, Alexander Fay   +4 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  

Hybrid variational model based on alternating direction method for image restoration

Advances in Difference Equations, 2019
The total variation model is widely used in image deblurring and denoising process with the features of protecting the image edge. However, this model usually causes some staircase effects.
Jianguang Zhu, Kai Li, Binbin Hao
doaj   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Alternating Direction Method of Multipliers-Based Constant Modulus Waveform Design for Dual-Function Radar-Communication Systems. [PDF]

Entropy (Basel), 2023
Saleem A, Basit A, Munir MF, Waseem A, Khan W, Malik AN, AlQahtani SA, Daraz A, Pathak P.   +8 more
europepmc   +1 more source

Return and Volatility Spillovers Among Major Cotton Markets

Agribusiness, EarlyView.
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli, Berna Karali, Yangxuan Liu, Munisamy Gopinath   +3 more
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

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  

Parameter Estimation with the Ordered ℓ₂ Regularization via an Alternating Direction Method of Multipliers

Applied Sciences, 2019
Regularization is a popular technique in machine learning for model estimation and for avoiding overfitting. Prior studies have found that modern ordered regularization can be more effective in handling highly correlated, high-dimensional data than ...
Mahammad Humayoo, Xueqi Cheng
doaj   +1 more source