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21. QR Method Computation of Eigenvalues & Eigenvectors
In this video, we explore the QR method for computing eigenvalues and eigenvectors using the Gram-Schmidt process. This iterative algorithm involves QR decomposition, where we decompose a matrix into orthogonal and upper triangular components, and update the matrix repeatedly to converge to eigenvalues. Watch as we break down the method with a ...
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