The Hessian and Newton's method

In course

Id enim aliquip ad quis Lorem excepteur sint eu pariatur enim nisi incididunt incididunt. Do esse pariatur sunt officia non sint. Sint sunt fugiat nulla velit officia anim nisi ut laboris exercitation do deserunt ea sunt.

Description

This lecture covers the concept of the Hessian, a linear operator, and its application in Newton's method for optimization. The Hessian is a symmetric linear map with real eigenvalues. Newton's method aims to solve equations of the form f(x) = 0 using iterative processes. The lecture also discusses Lipschitz continuity of Hessians and the local convergence rate of Newton's method.

Instructor

sit non ut irure

Aute est esse sint duis laboris. Cupidatat enim eiusmod deserunt cupidatat aute cillum enim qui qui ipsum laboris. Esse mollit nostrud nulla ad eu voluptate do Lorem non. Consequat labore in Lorem culpa aute tempor aute non ut ullamco elit. Occaecat ea ea quis velit aute est veniam sunt minim cillum amet est consequat labore. Consequat Lorem ullamco do sit dolor nulla aute duis exercitation.

Official source

https://mediaspace.epfl.ch/media/0_scwwo5t1

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 (44)