Journal of Jilin University Science Edition ›› 2019, Vol. 57 ›› Issue (06): 1351-1356.

Previous Articles     Next Articles

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

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

CLC Number: 

  • O241.6