Numerical Computation Studies Between a New Algorithm, Power, and QR Iterative Algorithms for Solution of Eigenvalue of Essentially Positive Matrices

  • Tedja Santanoe OepomoEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 185)


The aim of this manuscript is to study and to compare several iterative procedures based on Oepomo, Power, and QR methods for solving dominant eigenvalues of essentially positive matrices. Ascending and descending techniques lead to a new iterative method, new algorithm. The new technique was compared to the Power and QR methods in term of speed of convergence, number of required mathematical operations, and effectiveness to numerically calculate dominant eigenvalues of essentially positive matrices. Numerical examples illustrate the purpose.


Collatz’s theorem Perron-Frobernius’ theorem Eigenvalue 


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Science, Technology, Engineering, and Mathematics Division West LA/LA Harbor CollegesSchool of Business California International UniversityLa HabraUSA

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