Lecture

Analyse II: Stationary Points Classification

Description

This lecture covers the classification of stationary points in functions of two variables, focusing on the theorem and examples. It explains the criteria for identifying local minima, local maxima, and saddle points using the Hessian matrix. The lecture also discusses the change of variables and conditions for functions of class C². The instructor reviews the theoretical concepts and provides practical demonstrations to illustrate the classification process.

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