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Power iteration to find max/min eigenvalue/vector



05 Jul 2005 (Updated )

This is an c-mex function to find the max/min eigenvalue/vector.

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This is the power iteration method to find the maximum eigenvalue/eigenvector a n-by-n matrix. This method doesn't require the matrix to be Hermitian for the maximum eigenvalue/eigenvecor.
But it DOES require the matrix to be Hermitian for the minimum eigenvalue/vector. This approximation method may be improved by setting a tolerance (currently the iteration is controlled by the number of iterations, MAX).

Example: c = [1 0.5 0.2;0.5 1 0.5; 0.2 0.5 1];
then [u,v] = mPowerEig(c,0) is to find the largest eigenvalue/vector
and [u,v] = mPowerEig(c,1) is to find the minimum eigenvalue/vector

Reference: G.H. Golub, C.F. Van Load, "Matrix Computation"

MATLAB release MATLAB 6.5 (R13)
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Comments and Ratings (6)
21 Apr 2013 peng kaizhi

looking at once

12 Aug 2012 pong  
04 May 2008 x z

Same here, failed for [1 0;0 2].

30 Oct 2007 salim kahveci  
17 Oct 2006 Mori Jamshidian

Tried to find the maximum eigenvalue of [1 0;0 2], and the program failed in Matlab 14.

16 Jul 2005 mah mir  

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