Rayleigh's Power method for Eigen Values

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This lecture will give how to find the largest, smallest, and near to some point eigenvalues and eigenvectors. A unique method is explained for all the problems.

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definitely one of the best teachers available for college students

AakritiJaluria
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How did you assume the initial eigen vector

hrishikeshjadhav
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In the second example
Why you took eigen vector (1, 1, 1) instead of (1, , 0, 0)

kuda_karkat
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sir what happens when the largest eigenvalue is not distinct?

iammouliroy
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I would like to thank you..Thank you very much

praneshsathishkumar
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sir wanted to know parametric and non parametric test links

NMPadhy-fnjx