Improved global algorithms for maximal eigenpair

作     者：Mu-Fa CHEN Yue-Shuang 

作者机构：LI School of Mathematical SciencesBeijing Normal UniversityLaboratory of Mathematics and Complex Systems(Beijing Normal University)Ministry of EducationBeijing 100875China 

出 版 物：《Frontiers of Mathematics in China》 (中国高等学校学术文摘·数学（英文）)

年 卷 期：2019年第14卷第6期

页      面：1077-1116页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：This work was supported in part by the National Natural Science Foundation of China(Grant No.11771046) the Project from the Ministry of Education in China,and the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions 

主　　题：Maximal eigenpair global algorithm power iteration shifted inverse iteration quasi-symmetrization 

摘      要：This paper is a continuation of our previous paper[***,2017,12(5):10231043]where global algorithms for computing the maximal cigcnpair were introduced in a rather general *** efficiency of the global algorithms is improved in this paper in terms of a good use of power iteration and two quasi-symmetric ***,the new algorithms are applied to Hua’s economic optimization model.