Several Relaxation Algorithms for Solving the Tensor Equation Arising from the Higher-order Markov Chains

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:Prof. Li Wen
:2020-10-25 10:00
:实验楼105

SpeakerProf. Li Wen

           华南师范大学

Title: Several Relaxation Algorithms for Solving the Tensor Equation Arising from the Higher-order Markov Chains

Time25th, October, 2020, 10:00

Location 海韵实验楼105(线下) 

Abstract:

In this talk we propose several relaxation algorithms for solving the tensor equation arising from the higher-order Markov chain and multilinear PageRank. The semi-symmetrization technique on the original equation is also employed to modify the proposed algorithms. The convergence analysis is given for the proposed algorithms. It is shown that the new algorithms are more efficient than the existing ones by some numerical experiments when relaxation parameters are chosen suitably.

Speaker Introduction

黎稳,华南师范大学数学科学学院教授、院长、广东省数据科学工程中心副主任、广东省数学学会副理事长、广东省工业与应用数学学会副理事长和中国计算数学会理事。主要学术研究方向为:张量分析与应用、数值代数与应用、互补问题与应用。在国际著名学术刊物《Numer Math》、《SIAM J. Matrix Anal Appl》、《Appl Numer Math》、《中国科学》等学术刊物发表学术论文170余篇,其中SCI收录论文100多篇。2012年获广东省科学技术奖二等奖(排名第一)、主持5项国家自然科学基项目,主持教育部博士点基金与广东省自然科学基金项目7项,主持广东省高校创新团队项目和省级重大项目各一项。

 

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