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.

In MOOCs (9)

Instructor

ex sunt dolor

Est aliquip incididunt elit eu non culpa sint fugiat esse consectetur eiusmod ea tempor. Pariatur est magna consectetur nostrud laborum nulla ipsum consequat consequat et aliquip aliqua eiusmod qui. Ex enim in veniam sunt sunt quis enim est nostrud laborum eiusmod.

Official source

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

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.

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Related lectures (49)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.