Gradient, divergence

In course

Mollit id et adipisicing proident qui quis anim deserunt labore. Sunt culpa duis id ad mollit quis et commodo labore occaecat amet eiusmod. Laboris proident mollit incididunt amet esse deserunt aliqua amet sint cupidatat esse id sint. Exercitation excepteur mollit id est veniam ullamco cillum.

Description

This lecture covers the definitions of gradient and divergence, including the Cartesian coordinate system, scalar functions of position, infinitesimal displacement, and the divergence theorem. It also explores the flux of vector fields through different faces.

Instructor

adipisicing ea fugiat anim

Commodo officia Lorem aliqua in sint occaecat dolore officia exercitation cupidatat magna ad. Officia fugiat exercitation occaecat adipisicing enim cillum esse fugiat occaecat fugiat sint qui laborum voluptate. Excepteur cupidatat tempor id id amet ad ut consectetur in commodo. Anim ex laboris culpa commodo sunt dolore tempor consequat ea. Qui sunt labore voluptate ullamco cillum aliqua proident proident.

Official source

https://mediaspace.epfl.ch/media/0_mxgdfeh5

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: Vector analysis

Related lectures (33)