Power Method to find dominant eigenvalue

Version 1.0.02 (1,32 ko) par Dr. Manotosh Mandal
Matlab codes for Power Method to find dominant eigenvalue and the corresponding eigenvector.
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Mise à jour 22 jan. 2022

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Determination of eigenvalues by power method:
Let be a real symmetric matrix and be a real n component vector. Let .
Now
Then is an approximate largest eigenvalues of A and if where ϵ is the given error of tolerance and the corresponding eigenvector is .Otherwise continue the process.
For details of the method and also coding watch the lecture: https://youtu.be/rOxgnicTRaA
Example:
A =
1 3 -1
3 2 4
-1 4 10
Enter the tolerance of error 0.001
The greatest eigenvalue is 11.66225
The corresponding eigenvector is:
0.02490
0.42174
1.00000>>

Citation pour cette source

Dr. Manotosh Mandal (2024). Power Method to find dominant eigenvalue (https://www.mathworks.com/matlabcentral/fileexchange/72587-power-method-to-find-dominant-eigenvalue), MATLAB Central File Exchange. Récupéré le .

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Créé avec R2019a
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Version Publié le Notes de version
1.0.02

For details of the method and also coding watch the lecture: https://youtu.be/rOxgnicTRaA
1.0.01

New and easy version
1.0.0