一、报告题目：Two Tensor Decomposition Methods forInternet Traffic Data Recovery
二、报告人：凌晨教授-杭州电子科技大学
三、报告时间：2022年6月27日星期一下午3:50
四、报告地点：数统学院80602会议室
五、报告摘要：Recovery of network traffic data from incomplete observed data is an important issue in internet engineering and management. In this talk, by fully combining the temporal stability and periodicity features in internet traffic data,twonew optimization models for internet data recovery are proposed, which are based upon the Tucker decomposition and t-product factorization respectively. In theory, we prove that under suitable conditions, every accumulation point of the sequence generated by the proposed algorithm is a stationary point of the established model. Numerical simulation results carried on the widely used real-world internet network datasets, show that the proposed methods outperform state-of-the-art competitions.
六、报告人简介：凌晨，杭州电子科技大学理学院教授，博士生导师。现任中国运筹学会数学规划分会副理事长、中国经济数学与管理数学研究会副理事长，曾任中国运筹学会理事、中国系统工程学会理事、浙江省数学会常务理事。近十年来，主持国家自科基金和浙江省自科基金各4项、其中省重点项目1项。在国内外重要刊物例如Math. Program.、SIAM J. on Optim.和SIAM J.on Matrix Anal.and Appl.、COAP、JOTA、JOGO等发表论文80余篇。
