Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Singular Value Decomposition: Theoretical Foundations
Description
This lecture covers the theoretical foundations of Singular Value Decomposition (SVD), explaining the decomposition of a matrix into singular values and vectors. It discusses the properties of symmetric matrices, eigenvalues, and eigenvectors, illustrating the SVD process step by step. The lecture also delves into the significance of SVD in linear algebra, emphasizing the exceptional cases and practical applications.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.