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Lecture
Optimization of Functions: Maximum and Minimum
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Related lectures (29)
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Optimization: Lagrange Multipliers
Covers the method of Lagrange multipliers to find extrema subject to constraints.
Local Extrema of Functions
Discusses local extrema of functions in two variables around the point (0,0).
Optimization: Local Extrema
Explains how to find local extrema of functions using derivatives and critical points.
Optimization of Functions: Maximum and Minimum
Covers the optimization of functions, focusing on finding the maximum and minimum values over a given domain.
Extrema of Functions in Several Variables
Explores the conditions for local extrema of functions in several variables, including critical points and the Hessian matrix.
Nature of Extremum Points
Explores the nature of extremum points in functions of class e² around the point (0,0), emphasizing the importance of understanding their behavior in the vicinity.
Finding Absolute Extrema in Multivariable Functions
Covers the conditions for finding absolute extrema in multivariable functions.
Extrema of Functions in Several Variables
Explains extrema of functions in several variables, stationary points, saddle points, and the role of the Hessian matrix.
Local Extremum Points Determination
Focuses on determining local extremum points of functions through various examples.
Real Functions: Definitions and Properties
Explores real functions, covering parity, periodicity, and polynomial functions.
