黄亚魁
近期热点
资料介绍
个人简历
研究领域
1) Nonlinear Programming and its Applications2) Machine Learning3) Matrix Optimization""近期论文
1) Yu-Hong Dai, Yakui Huang, Xin-Wei Liu. A family of spectral gradient methods for optimization. Computational Optimization and Applications, 74(1): 43-65, 2019.2) Yakui Huang, Hongwei Liu. Smoothing projected Barzilai–Borwein method for constrained non- Lipschitz optimization. Computational Optimization and Applications, 65(3): 671-698, 2016.3) Yakui Huang, Hongwei Liu, Shuisheng Zhou. Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization. Data mining and Knowledge Discovery, 29(6): 1665-1684, 2015.4) Yakui Huang, Hongwei Liu. On the rate of convergence of projected Barzilai–Borwein methods. Optimization Methods & Software, 30(4): 880-892, 2015.5) Yakui Huang, Hongwei Liu. A Barzilai–Borwein type method for minimizing composite functions. Numerical Algorithms, 69(4): 819-838, 2015. 相关热点