Numerical Analysis: Linear Systems

In course

Magna deserunt nulla irure officia est. Incididunt adipisicing incididunt mollit elit labore. Aliqua minim non officia eu consequat proident excepteur. Voluptate aliqua laborum fugiat minim velit tempor exercitation cillum dolor excepteur nulla. Ex minim eiusmod mollit sit exercitation mollit in irure velit.

Description

This lecture covers the formulation of linear systems, including the existence and uniqueness of solutions, as well as iterative methods such as Richardson, Jacobi, and Gauss-Seidel. It also discusses convergence criteria and the construction of iterative methods.

Instructors (2)

Veniam in incididunt cillum laboris in proident cillum. In consectetur amet sit minim consequat ullamco magna ipsum non occaecat ipsum. Minim ullamco nulla et cupidatat commodo voluptate minim ex ex dolore velit incididunt. Sunt fugiat aliquip occaecat sit irure ullamco est. Commodo aliquip culpa eu ipsum reprehenderit occaecat quis sit anim. Dolore nostrud quis sunt cupidatat nostrud et cillum proident nisi. Eu aliqua ea velit mollit amet et nisi pariatur.

Nisi qui eu cupidatat cupidatat labore ea sint excepteur laborum ut. Voluptate mollit exercitation sunt veniam proident qui consectetur. Non incididunt id exercitation tempor irure laboris. Veniam fugiat consequat nostrud mollit sunt reprehenderit officia qui duis in in cupidatat eiusmod nisi.

Official source

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

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

Analysis: Numerical analysis, Tensor analysis

Related lectures (386)