数学学科学术报告二十八

来源: 理学院 作者:马国强 添加日期:2018-12-04 14:32:43 阅读次数: 454

       报告题目:Linearized proximal algorithms with adaptive stepsizes for convex composite optimization with applications
  报告人:李冲(浙江大学, 教授, 博士生导师)
  时间:2018年12月6日(星期四) 15:30——16:30
  地点:格致中楼500
  报告摘要:In this talk, we continue to study the problem of numerically  solving convex composite optimizations. Linearized proximal algorithms (LPA)   with adaptive stepsizes for solving the convex composite optimization problem are proposed. Local and/or global  convergence properties of the proposed algorithms are explored, and their superlinear/quadratic convergence results are established under the assumptions of local weak sharp minima and the quasi-regularity condition. Our proposed algorithms, compared with the LPA with the constant stepsize, have the advantages of suiting for wider range of problems and of employing higher convergence rates. We apply the LPA with adaptive stepsizes to solve the wireless sensor network localization problem, and the numerical results show that the LPA with adaptive stepsizes can solve this problem more efficiently and stable than the LPA with the constant stepsize or other algorithms.
  报告人简介:李冲,浙江大学数学系教授,博士生导师, 1995年获浙江大学博士学位,曾任台湾数学杂志(SCI) 、现任《高等学校计算数学学报》以及多个国际刊物的编委。主要从事Banach空间理论、非光滑分析、非线性逼近与优化、数值泛函分析等领域的研究。先后主持中国国家自然科学基金、西班牙及南非国家自然科学基金等十余项,出版专著1部,在SCI期刊上发表论文近200篇, 特别是在优化理论和计算数学的顶级刊物SIAM J Optim., Math. Program,SIAM J. Control Optim.以及SIAM J.Numer. Anal上发表论文近30篇。 曾获浙江省教委科技进步奖一、二等奖等奖励,享受国务院政府特殊津贴专家、原商业部有突出贡献的中青年专家、江苏省第七届青年科学家等,2004年获教育部首届新世纪优秀人才计划资助。
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理学院
2018年12月4日

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