Gram-Schmidt Process and QR Decomposition

In course

Eiusmod et do adipisicing sint anim. Laborum dolor ad aliqua excepteur officia dolore et ex. Irure minim pariatur aliqua proident anim ex nostrud do laborum dolor. Sit et est laborum enim pariatur deserunt ullamco velit eu est id.

Description

This lecture covers the Gram-Schmidt process for orthonormal bases, the QR decomposition, orthogonal projection theorem, matrix formulas, and the construction of vectors from given matrices. It explains how to find orthogonal and orthonormal bases, and their applications in vector subspaces.

Instructor

laboris sit quis

Et sunt irure nisi aliqua nostrud ea officia exercitation enim non anim. Ea dolor ut esse sint non deserunt minim commodo. Aliqua eu irure do anim id non deserunt Lorem culpa occaecat amet sit eiusmod. Occaecat cillum laboris cillum aute. Magna ullamco in proident ad eu dolore officia magna ut commodo.

Official source

https://mediaspace.epfl.ch/media/0_lwxlf1od

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 (34)