Local Extrema of Functions

Related lectures (28)

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Discusses optimization techniques, focusing on local and global extrema in functions.

Covers advanced optimization methods using Lagrange multipliers to find extrema of functions subject to constraints.

Covers Taylor's formula, developments, and extrema of functions, discussing convexity and concavity.

Explores techniques for minimizing functions and finding critical points.

Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.

Covers the optimization of functions, focusing on finding the maximum and minimum values.

Covers Morse theory, focusing on critical points and non-degeneracy.

Explains how to find local extrema of functions using derivatives and critical points.

Covers the method of Lagrange multipliers to find extrema subject to constraints.

Explores the conditions for local extrema of functions in several variables, including critical points and the Hessian matrix.