Lecture

Newton's method: Hessian and optimization

Description

This lecture covers the application of Newton's method in optimization problems, focusing on the calculation of the Hessian matrix and its role in minimizing the cost function. The instructor explains how to find the Hessian matrix using matrix-vector notation and demonstrates its application in solving least square optimization problems. The lecture concludes with a detailed explanation of how Newton's method can efficiently solve optimization tasks after just one iteration.

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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.