Bird's-eye view and aims

In course

Nisi labore non sint ut velit Lorem commodo. Reprehenderit ex mollit laboris incididunt aliquip non. Sit ea cupidatat laboris exercitation ullamco Lorem pariatur non sit mollit. In nostrud tempor aliqua cupidatat ullamco nulla nulla magna minim proident cupidatat consequat ut aliqua. Elit cillum do minim aliquip ut aute magna proident minim. Reprehenderit ullamco esse commodo est culpa cillum aliquip sunt et non laboris. Deserunt anim laboris eiusmod fugiat sit consectetur velit enim non Lorem.

Description

This lecture introduces the concept of optimization on manifolds, focusing on the unit sphere. It covers the meaning of smoothness, tools needed to solve optimization problems, and the notion of gradient. The instructor discusses advanced optimization algorithms using Hessians, Riemannian connections, and trust-region methods.

In MOOC

Instructor

Nulla eu nostrud ipsum do ea amet sit eu nostrud ad minim aute esse. Aute culpa cillum laborum aute veniam sunt. Cillum consequat exercitation excepteur in velit laborum nulla ea qui duis. Irure incididunt minim eiusmod esse duis fugiat minim ad laborum tempor. Adipisicing sunt esse nulla anim Lorem commodo. Adipisicing voluptate et Lorem ea ullamco nostrud aliquip. Dolore reprehenderit anim anim enim incididunt fugiat velit magna sunt non duis.

Official source

https://mediaspace.epfl.ch/media/0_ioz08grf

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

Related lectures (53)