开元ky棋牌

开元ky棋牌教师概况——陈 玉

时间:2019-03-01浏览:10

 博士、副教授

均衡约束数学规划问题的算法及其应用研究

《运筹学》、《非线性规划》、《高等数学》、《线性代数》、《概率论与数理统计》

 

1. 国家自然科学基金项目:均衡约束数学规划问题的几个算法及其在机器学习中的应用(11761014)2018.1-2021.12

2. 广西自然科学基金项目:均衡约束数学规划问题的罚方法及其在美式期权定价中的应用(2017GXNSFAA198243)2017.9-2020.8  

3. 广西高校数学与统计模型重点实验室开放基金课题:均衡约束优化问题的光滑正则化算法及其应用(2016GXKLMS010),2016.7-2018.6

4. 湖南省教育厅科研项目:投资组合选择模型有效算法研究(11C0737), 2012.1-2014.12

[10] Yu Chen, Zhong Wan, A new smoothing method for mathematical programs with complementarity constraints based on logarithm-exponential function, Mathematical  Problems in Engineering, 2018,已接受 SCI

[9] Yu Chen , Zhong WanShuai Huang, A Smoothing  Regularization Method  for Mathematical Programs with Complementarity Constraints with Strong Convergent Property, Pacific Journal of Optimization, 2016(3):497-519. SCI

[8] Yu ChenZhong Wan, A Locally Smoothing Method for Mathematical Programs with Complementarity ConstraintsANZIAM Journal, 2015, 56: 299-315. SCI

[7] Zhong WanYu ChenShuai HuangDong Dong. Feng, A modified nonmonotone BFGS algorithm for solving smooth nonlinear equations, Optimization Letter.20148(6): 1845-1860. (SCI)

[6] Zhong. WanYu. ChenX. D. ZhengSolution method of optimization problem based on a modified Armijo-type line search, Int. J. Computa -ional Science and Engineering201511(3): 322-329. (EI)

[5] Yu Chen, Zhiming Luo, Wolfe type second order symmetric duality in multiobjective programming over cones, Journal of Computational Analysis and Application, 2011, 13(7): 1335-1341. (SCI)

[4] Yu Chen, Qingjie Hu, A SQP Algorithm Based on a Smoothing Lower Order Penalty Function for Inequality Constrained Optimization, Journal of Computational Analysis and Application, 2009, 11(3): 481-491.SCI

[3] Yu. Chen, Z. M. Luo, Some new characterizations of strongly alpha-preinvex  functionsGJSFR2010, 10:42-45.

[2] Yu Chen, Zhiming Luo, A globally and superlinearly SQP algorithm for degenerate inequality constrained optimization, 湘潭大学学报,2010, 36(2):10-16.

[1] 陈玉,陈内萍,段玉,一个求解不等式约束优化问题的非内点型可行QP-free算法,湖南师范大学学报,2011,4: 21-25.

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