Stationary point

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Related lectures (30)

Page 3 of 3

Rolle's Theorem and Mean Value Theorem

Covers Rolle's Theorem and the Mean Value Theorem, discussing stationary points and extrema.

Analyse II: Stationary Points Classification

Covers the classification of stationary points in functions of two variables using the Hessian matrix.

Stationary Points Analysis

Covers the analysis of stationary points in functions, focusing on optimization methods.

Directional Derivatives

Explores directional derivatives in two-variable functions and extremum points.

Implicit Function Theorem

Explores the Implicit Function Theorem, supporting hyperplanes, local extrema, and higher-order derivatives, concluding with the classification of stationary points.

Implicit Function Theorem: Local Extrema

Explores the Implicit Function Theorem, local extrema, supporting hyperplanes, and higher-order derivatives.

Global Extrema of Functions in R^2

Explores global extrema of functions in R^2, discussing methods to find maximum and minimum points.

Optimization with Inequalities

Explores optimization with inequality constraints, emphasizing finding extreme values and stationary points.

Nature of Extremum Points

Covers the nature of extremum points and their classification as stationary or saddle points.

Chapter 5: Function Studies

Covers the study of functions, including limits, derivatives, and sign variations.