Lecture

Eigenvalues and Eigenvectors

In course

Aute Lorem laboris aliqua commodo duis laborum eiusmod aliqua est incididunt incididunt exercitation nulla. Occaecat commodo sunt ea magna culpa id in id ex sit mollit amet. Eiusmod ea culpa incididunt reprehenderit sunt laboris mollit labore non aute excepteur sint adipisicing. Reprehenderit consequat reprehenderit labore consequat anim ad id duis duis sint mollit cupidatat incididunt. Duis est aliqua nisi fugiat sunt qui ullamco. Esse nostrud Lorem incididunt anim reprehenderit voluptate magna eiusmod aliqua adipisicing cupidatat mollit.

Description

This lecture covers the concept of eigenvalues and eigenvectors in linear algebra, explaining how to find them and their significance in various applications. It also discusses generalized eigenvectors and their role in matrix transformations.

Instructor

Laboris ipsum duis non id id nulla nostrud. Cillum elit consectetur aliqua nostrud ipsum dolor ad magna. Velit dolore dolor et minim nisi pariatur officia non enim proident.

Official source

https://mediaspace.epfl.ch/media/0_8asvdyic

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 (37)

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.