Lecture
Optimization Basics: Linear Algebra, Analysis, Convexity
Description
This lecture covers the basics of optimization, including linear algebra concepts such as norms and matrix norms, analysis topics like continuity and Lipschitz continuity, and convexity principles such as convex sets and functions. It also delves into subdifferentials, L-Lipschitz gradient functions, and strong convexity. The lecture further explores convergence rates, convergence plots, and outlines the upcoming topic of gradient descent methods.
Official source
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.