报告地点：腾讯会议421-879-795
邀请人：孙海琳教授
摘要：In this talk, we mainly consider some extrapolated proximal DC methods for solving structured DC optimization problems. We first show different extrapolation strategies to possibly accelerate the original proximal DC algorithm, and then we discuss the convergence behavior and convergence rates of the extrapolated proximal DC algorithms. Finally, some numerical experiments have been conducted to illustrate the theoretical results.
个人介绍：温博，河北工业大学理学院副教授，硕士研究生导师。2017年9月获得哈尔滨工业大学理学博士学位与香港理工大学哲学博士学位，主要从事最优化理论与算法研究，主持国家自然科学基金青年科学基金一项，河北省自然科学基金优秀青年科学基金一项，河北省教育厅基金一项，在SIAM Journal on Optimization， Computational Optimization and Applications, Journal of Global Optimization，Optimization Letters，Optimization等期刊杂志发表多篇论文。
