題 目：A Note on the Linear Convergenceof Generalized Primal-Dual Hybrid Gradient Methods
主講人：王群博士
時 間：2022年4月21日（周四）14：30-15：30
地 點：6號學院樓510會議室
主辦單位：新葡萄8883官網AMG 浙江省2011 “數據科學與大數據分析協同創新中心”
摘要：
In this paper, we revisit a class of primal-dual algorithms proposed in [He et al., An Algorithmic Framework of Generalized Primal-Dual Hybrid Gradient Methods for Saddle Point Problems, J. Math. Imaging Vis., 58 (2017) 279-293], and focus on investigating the global linear convergence rate of these approaches under two scenarios. One scenario is assuming that one of the objectives is strongly convex and its gradient is Lipschitz continuous, and the other one is the hypothesis of some error bound conditions. Furthermore, some theoretical results are verified by numerical simulation.
主講人簡介：
王群，香港理工大學應用數學博士，研究方向是最優化、張量計算。主持過一項國家自然科學基金青年科學基金項目（2019），近幾年已發表SCI等學術論文9篇。
歡迎各位老師和同學踴躍參加！
