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Lecture
Singular Value Decomposition: Applications and Interpretation
Description
This lecture covers the Singular Value Decomposition (SVD) method, explaining how to construct U, calculate Av₁ and Av₂, verify the results, complete the columns of U to form an orthonormal basis of R³, apply the Gram-Schmidt process, and interpret the SVD results in the context of matrix decomposition.
Official source
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