Matrix Operations: Theorems and Applications

About
Privacy
Disclaimer

Graph Chatbot

In course

Ad enim ea qui occaecat ullamco cupidatat aute voluptate nulla. Labore qui id reprehenderit est quis culpa do pariatur elit dolor laboris. Laborum sit nisi deserunt tempor quis aliquip culpa dolore commodo occaecat qui eu sit voluptate. Culpa consectetur reprehenderit commodo cillum sit dolor exercitation voluptate amet consectetur consequat laboris aute ea. Sint proident adipisicing commodo fugiat amet enim est sunt esse in veniam. Sunt sunt aliqua incididunt Lorem non occaecat adipisicing do quis sint veniam enim consectetur qui. Dolore proident officia amet eu elit in officia eu ad cillum.

Description

This lecture covers matrix operations, including multiplication by a scalar, composition of applications, and the properties of symmetric and anti-symmetric matrices. Theorems are presented and applied to matrices of different sizes.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Official source

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Related lectures (26)

https://mediaspace.epfl.ch/media/0_jfqk5rrg

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.

In course

DEMO: reprehenderit tempor ut

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Related lectures (26)

Matrix Operations: Addition and Transposition

Covers matrix addition, scalar multiplication, transposition, symmetry, and antisymmetry properties.

Matrix Multiplication: Applications and Properties

Covers matrix multiplication, properties, and inverses in linear algebra.

Linear Algebra Review

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Linear Algebra: Matrices and Operations

Introduces key concepts in linear algebra, including matrices, operations, and numerical invariants.

Matrix Operations: Rules and Applications

Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.