Results 41 to 50 of about 27,483 (269)
An Alternating Direction Method of Multipliers for Inverse Lithography Problem
Numerical Mathematics: Theory, Methods and Applications, 2023 We propose an alternating direction method of multipliers (ADMM) to solve an optimization problem stemming from inverse lithography. The objective functional of the optimization problem includes three terms: the misfit between the imaging on wafer and the target pattern, the penalty term which ensures the mask is binary and the total variation ...
Chen, Junqing, Liu, Haibo
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Feasibility vs. Optimality in Distributed AC OPF - A Case Study Considering ADMM and ALADIN
, 2019 This paper investigates the role of feasible initial guesses and large consensus-violation penalization in distributed optimization for Optimal Power Flow (OPF) problems.
A Engelmann +11 more
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Advanced Functional Materials, EarlyView.This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker +5 more
wiley +1 more source
An Improved Alternating Direction Method of Multipliers for Matrix Completion
Foundations of Computing and Decision SciencesMatrix completion is widely used in information science fields such as machine learning and image processing. The alternating direction method of multipliers (ADMM), due to its ability to utilize the separable structure of the objective function, has ...
Yan Xihong, Zhang Ning, Li Hao
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A Study on Distributed Optimization over Large-Scale Networked Systems
Journal of Mathematics, 2021 Distributed optimization is a very important concept with applications in control theory and many related fields, as it is high fault-tolerant and extremely scalable compared with centralized optimization.
Hansi K. Abeynanda, G. H. J. Lanel
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Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light
Advanced Functional Materials, EarlyView.A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid +13 more
wiley +1 more source
Fast Model Predictive Control Based on Adaptive Alternating Direction Method of Multipliers
Journal of Chemistry, 2019 Model Predictive Control (MPC) can effectively handle control problem with disturbances, multicontrol variables, and complex constraints and is widely used in various control systems.
Yu Li +4 more
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A regularized alternating direction method of multipliers for a class of nonconvex problems
Journal of Inequalities and Applications, 2019 In this paper, we propose a regularized alternating direction method of multipliers (RADMM) for a class of nonconvex optimization problems. The algorithm does not require the regular term to be strictly convex. Firstly, we prove the global convergence of
Jin Bao Jian, Ye Zhang, Mian Tao Chao
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Engineering Proceedings, 2023 We consider the application of a recently developed hyperspectral broadband phase retrieval (HSPhR) technique for spectrally varying object and modulation phase masks at 100 spectral components.
Igor Shevkunov +2 more
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, 2015 Nonconvex and structured optimization problems arise in many engineering applications that demand scalable and distributed solution methods. The study of the convergence properties of these methods is in general difficult due to the nonconvexity of the ...
Fischione, Carlo +3 more
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