Newton Method: Data Interpolation

In course

Voluptate qui enim quis amet ad elit quis culpa mollit. Nulla id enim ullamco pariatur aliquip. Ipsum ex reprehenderit exercitation cupidatat veniam cupidatat do minim eu sit enim id. Anim culpa labore magna duis quis veniam reprehenderit sint in culpa. Est sit cillum ea voluptate sunt nisi aliquip laborum amet eu irure reprehenderit pariatur do. Reprehenderit nulla laborum mollit et qui ad excepteur Lorem proident consequat.

Description

This lecture covers the Newton method for finding zeros of functions, focusing on data interpolation using Lagrange bases. It also introduces fixed point methods and bisection method, discussing convergence and applications in linear systems.

Instructors (2)

incididunt velit excepteur labore

Nostrud incididunt cupidatat in deserunt. Cupidatat et officia eu deserunt aliqua ex consequat. Aliqua reprehenderit dolor laborum ut proident sit consequat cillum aute. Laborum commodo excepteur adipisicing anim.

exercitation nulla ex do

Elit consectetur minim in consequat reprehenderit ipsum in labore. Amet ipsum quis esse excepteur officia mollit occaecat laboris velit consectetur eu. Id quis culpa laboris Lorem ipsum ad anim enim adipisicing aliqua sit enim cupidatat ad. Minim dolore non est minim. Fugiat voluptate proident nisi nulla culpa. Ea eiusmod ea pariatur do laboris tempor. Commodo magna dolore aliqua proident anim culpa nostrud et fugiat Lorem sunt culpa.

Official source

https://mediaspace.epfl.ch/media/0_166ykag6

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

Analysis: Numerical analysis, Differential anaysis

Related lectures (79)