报告人：凌晨教授

报告题目：Two Tensor Decomposition Methods for Internet Traffic Data

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, two new 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.

报告人简介：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、国际ESI期刊 Pacific Journal of Optimization编委、国际期刊Statistics, Optimization & Information Computing编委，曾任：杭州电子科技大学理学院经理、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。研究方向：非线性规划、变分不等式与互补问题、张量计算、多变量多项式优化、半无限规划、随机规划、多目标优化理论与应用等。近十年来，主持国家自科基金和浙江省自科基金各4项、其中省基金重点项目1项。在国内外重要刊物发表论文80余篇，其中SCI期刊论文60余篇，多篇发表在Math. Program.、SIAM J. on Optim.和 SIAM J.on Matrix Anal.and Appl. 、COAP、JOTA、JOGO等。

报告时间：2021年12月2号下午14:00-16:00

报告形式：腾讯会议；会议号：862592847