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.

In MOOCs (9)

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Official source

https://mediaspace.epfl.ch/media/0_0qzp7weq

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

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