吉林大学学报(理学版) ›› 2019, Vol. 57 ›› Issue (06): 1351-1356.

• 数学 • 上一篇    下一篇

对角相似变换下的非负矩阵最大特征值算法

王信存1, 吕洪斌2, 商钰莹2   

  1. 1. 辽东学院 师范学院, 辽宁 丹东 118003; 2. 北华大学 数学与统计学院, 吉林 吉林 132013

  • 收稿日期:2019-05-20 出版日期:2019-11-26 发布日期:2019-11-21
  • 通讯作者: 吕洪斌 E-mail:hbinlyu@126.com

Maximum Eigenvalue Algorithm of Nonnegative Matrix under  Diagonal Similarity Transformation#br#

WANG Xincun1, LV Hongbin2, SHANG Yuying2   

  1. 1. Teachers College, Eastern Liaoning University, Dandong 118003, Liaoning Province, China;
    2. School of Mathematics and Statistics, Beihua University, Jilin 132013, Jilin Province, China

  • Received:2019-05-20 Online:2019-11-26 Published:2019-11-21
  • Contact: LV Hongbin E-mail:hbinlyu@126.com

摘要: 通过引进一个参数构造与迭代矩阵的行和相关的正对角矩阵, 应用矩阵的正对角相似变换, 给出不可约非负矩阵最大特征值与对应特征向量的数值算法, 算法中每一步参数的选择灵活性都较大, 从而提高了收敛速度.

关键词: 不可约非负矩阵, 最大特征值, 算法, 对角相似变换

Abstract: By introducing a parameter, we constructed a positive diagonal matrix related to the row sum of the iteration matrix. By using the positive diagonal similarity transformation of matrices, we gave a numerical algorithm for computing the maximum 
eigenvalue and corresponding eigenvectors of irreducible nonnegative matrices. The selection of parameters in each step of the algorithm is  flexibe and the convergence speed is improved.

Key words: irreducible nonnegative matrix, maximum eigenvalue, algorithm, diagonal similarity transformation

中图分类号: 

  • O241.6