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Lecture
Singular Value Decomposition: Example
Description
This lecture covers the singular value decomposition (SVD) of a matrix, focusing on finding the SVD of a specific matrix step by step, including calculating singular values and eigenvectors. It also discusses the concept of orthonormal bases in R² and R³, and the normalization process involved in obtaining them.
Official source
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