An extended sequential quadratic method with extrapolation

作者:曾燎原发布时间:2024-10-10浏览次数:10

报告人:张永乐 副教授(四川师范大学)
报告时间:2024.10.14/ 10:00-11:00
报告地点:腾讯会议 173-511-795 (会议密码 202410)
报告摘要:We revisit and adapt the extended sequential quadratic method (ESQM) for solving a class of difference-of-convex optimization problems whose constraints are defined as the intersection of level sets of Lipschitz differentiable functions and a simple compact convex set. Particularly, for this class of problems, we develop a variant of ESQM, called ESQM with extrapolation (ESQMe), which incorporates Nesterov's extrapolation techniques for empirical acceleration. Under standard constraint qualifica
报告人简介:

张永乐,博士,副教授,硕士生导师,四川省海外高层次留学人才。主要从事非凸非光滑优化、变分不等式理论及算法的研究,在Mathematical Programming、Advances in Computational Mathematics、Journal of Optimization Theory and Applications、Numerical Algorithms等杂志上发表SCI索引论文11篇。主持国家自然科学基金青年科学基金1项、四川省科技厅应用基础项目1项。国家一流课程“数学建模”的主要参与者