Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Hou, Duo"'
Autor:
Huang, Ya-Kui, Qi, Hou-Duo
We give a novel analytic analysis of the worst-case complexity of the gradient method with exact line search and the Polyak stepsize, respectively, which previously could only be established by computer-assisted proof. Our analysis is based on studyi
Externí odkaz:
http://arxiv.org/abs/2407.04914
The hard margin loss function has been at the core of the support vector machine (SVM) research from the very beginning due to its generalization capability.On the other hand, the cardinality constraint has been widely used for feature selection, lea
Externí odkaz:
http://arxiv.org/abs/2307.16281
Zero-One Composite Optimization (0/1-COP) is a prototype of nonsmooth, nonconvex optimization problems and it has attracted much attention recently. The augmented Lagrangian Method (ALM) has stood out as a leading methodology for such problems. The m
Externí odkaz:
http://arxiv.org/abs/2306.08991
Publikováno v:
In Applied Thermal Engineering 15 October 2024 255
Autor:
Luo, Wenjia, Hou, Duo, Guan, Peng, Li, Fei, Wang, Changzheng, Li, Huan, Zhang, Xi, Huang, Guoxian, Lu, Xingwu, Li, Yanlong, Zhou, Tao
Publikováno v:
In Separation and Purification Technology 15 July 2024 340
Publikováno v:
In Fuel 15 January 2024 356
The sparse nonlinear programming (SNP) problem has wide applications in signal and image processing, machine learning, pattern recognition, finance and management, etc. However, the computational challenge posed by SNP has not yet been well resolved
Externí odkaz:
http://arxiv.org/abs/2004.13257
Akademický článek
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Publikováno v:
Cailiao Baohu, Vol 56, Iss 6, Pp 14-21 (2023)
Wettability of the material surface is extremely important for the separation of mixtures/emulsions (e.g. oil and water or conversely water and oil). The development of superwetting materials has shown great potential for recovering water from oil-wa
Externí odkaz:
https://doaj.org/article/eb251ec1eebb48338456e8c801826b20
Publikováno v:
In Process Safety and Environmental Protection October 2023 178:881-892