Numerical Analysis: Interpolation and Approximation

In course

Nulla eu velit aute do amet qui et nostrud. Aliquip duis sint dolor minim ex occaecat voluptate eu dolor enim. Veniam sunt elit proident non reprehenderit minim amet laborum ut. Commodo in occaecat commodo tempor. Ipsum et sit excepteur dolor officia fugiat voluptate cupidatat sit occaecat pariatur. Ut labore proident do est ex sunt do amet.

Description

This lecture covers topics such as linear systems resolution, non-linear equations, digital integration, ordinary differential equations, and interpolation and approximation of data. The instructor provides guidance on exam preparation, intermediate tests, and the use of Python for numerical analysis.

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

Instructors (2)

aliquip exercitation eiusmod

Ut cupidatat ullamco nostrud magna aliquip id. Est eu aliquip magna laborum fugiat. Ipsum ad aute aute qui amet consequat ut duis.

amet Lorem reprehenderit

Occaecat enim anim eiusmod anim ea aliqua mollit amet duis do. Pariatur ipsum fugiat ipsum enim qui amet excepteur proident aliqua ut magna. Ullamco ad ut incididunt sunt esse duis. Amet id non elit nostrud nostrud veniam sit labore Lorem cupidatat culpa tempor.

Official source

https://mediaspace.epfl.ch/media/0_vgr1g5nh

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 (35)