摘要
给出了一个计算不可约非负矩阵谱半径的拟幂型算法,在算法的每步迭代中引入一个适当的变参数,与幂型算法比较不但适用范围更广,在基本不增加计算量的情况下提高了计算的稳定性和效率.
A quasi-power algorithm for the spectral radius of the irreducible nonnegative matrix is given,and an appropriate variable parameter is introduced in each iteration.Compared with the power algorithm,it not only has a wider application range,but also improves the efficiency of convergence without increasing the amount of calculation.
作者
王信存
吕洪斌
WANG Xin-cun;LYU Hong-bin(Teachers College,Eastern Liaoning University,Dandong 118003,China;School of Mathematics and Statistics,Beihua University,Jilin 132013,China)
出处
《东北师大学报（自然科学版）》
CAS
北大核心
2022年第4期6-11,共6页
Journal of Northeast Normal University(Natural Science Edition)
基金
辽宁省自然科学基金资助项目(20180550758)
吉林省科技发展计划项目(20190201139JC).
关键词
不可约非负矩阵
最大特征值
拟幂型算法
irreducible nonnegative matrix
largest eigenvalue
diagonal similarity algorithm
