Lecture

Diagonalization of Matrices and Least Squares

In course
DEMO: commodo commodo magna
Dolore commodo ex pariatur amet et voluptate labore. Ad aute qui sit consectetur quis consequat velit. Dolore mollit non fugiat enim excepteur duis laboris proident tempor ea est ad.
Login to see this section
Description

This lecture covers the concepts of diagonalization of matrices, eigenvectors, and linear maps. It also delves into the least squares method, orthogonal vectors, and scalar products in different vector spaces.

Instructor
elit amet ex
Eiusmod labore anim minim elit ullamco nostrud eu excepteur ullamco sint. Consectetur eu mollit veniam ipsum ad cupidatat velit voluptate ea aliquip labore est. Anim sint est aute pariatur. Consequat non officia velit ex aute veniam aute. Incididunt veniam irure cillum consequat nostrud occaecat nulla laborum do.
Login to see this section
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.
Related lectures (133)
Linear Algebra Basics
Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.
Exam Guidelines: COVID Measures 2021
Covers guidelines for an upcoming 2021 exam, focusing on COVID safety measures and exam procedures.
Characteristic Polynomials and Similar Matrices
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Orthogonal Complement and Projection Theorems
Explores orthogonal complement and projection theorems in vector spaces.
Orthogonal Bases and Projection
Introduces orthogonal bases, projection onto subspaces, and the Gram-Schmidt process in linear algebra.
Show more

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.