Norm Bounds for the Inverse of Several H-matrices and Their Applications in Linear Complementarity Problems

发布者:王丹丹发布时间:2023-04-11浏览次数:199

江苏省应用数学(中国矿业大学)中心系列学术报告

题目:Norm Bounds for the Inverse of Several H-matrices and Their Applications in Linear Complementarity Problems

报告人:刘建州 教授   湘潭大学数学与计算科学学院

时 间:2023410日(周六)上午 9:00-1000

地点:  마카오 슬롯 머신 잭팟A302

报告人简介:

刘建州,湘潭大学数学与计算科学学院二级教授、博士生导师。2016.1-2020.1任中国数学会常务理事,湖南省运筹学会副理事长,2005.1-2020.11任湖南省数学会常务理事、秘书长,现任湖南省运筹学会监事长,湖南省数学学会常务理事、监事。长期从事数值代数、线性代数及其应用,线性控制等方面的研究,主持国家自然科学基金4项、主持部、省级自然科学基金10余项,已培养毕业博士、硕士研究生80余人,在国内外重要学术期刊SIAM J. Matrix Anal. Appl. IEEE Transactions on Fuzzy Systems IEEE Transactions on Automatic ControlAutomaticaLinear Algebra Appl.Science China Information sciences、数学学报、数学年刊等发表术论文200余篇,其中SCI期刊100余篇。先后获湖南省自然科学奖、湖南省高等教育教学成果奖多项,主编出版的湖南省高等教育21世纪课程教材《实用数学建模教程》评为湖南省高等学校优秀教材

报告内容简介:

In this talk, we obtain two upper bounds for the inverse of strictly diagonally dominant (SDD) M-matrices and Locally doubly strictly diagonally dominant (LDSDD) matrices respectively, where the estimates for SDD M-matrices are sharper than those existed ones and the estimates for LDSDD matrices are new appeared. In addition,the new upper bounds for the matrix inverse can be utilized for the error analysis in linear complementarity problems (LCPs) for error bounds, then we propose sharper error bounds for B-matrices and LDSDD matrices. At last, lots of random experiments are presented to show the efficiency and superiority.