教学情况:
本科生课程:线性代数,高等数学,非线性优化
研究方向:
(1)基于集合的序关系的标量化函数的计算方法的改进
(2)数据包络分析法的改进
主持的科研项目:
校博士启动科研项目“将DEA模型中的无效单元逐步转化为有效单元的算法开发”(BS2020L011),
2020.6-2022.6.
学术论文:
[1] Hui Yu, Koichiro Ike, Yuto Ogata, Yutaka Saito and Tamaki Tanaka, Computational methods for set-relation-based scalarizing functions, Nihonkai Math. J. 28(2017), no. 2, pp. 139--149.
[2]Hui Yu, Koichiro Ike, Yuto Ogata and Tamaki Tanaka, A Calculation Approach to Scalarization for Polyhedral Sets by Means of Set Relations, Taiwanese J. Math. 23(2019), no. 1, pp. 255--267.
英文书籍
Koichiro Ike, Yuto Ogata, Tamaki Tanaka andHui Yu, Sublinear-like Scalarization Scheme for Sets and its Applications to Set-valued Inequalities, in Chapter 4 of “Variational Analysis and Set Optimization: Developments and Applications in Decision Making,” edited by Akhtar A. Khan, Elisabeth K öbis, Christiane Tammer; Published in CRC Press on July 15, 2019.