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Lecture
Extrema of Functions
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Related lectures (30)
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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.
Differentiable Functions and Lagrange Multipliers
Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.
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.
Finding Absolute Extrema in Multivariable Functions
Covers the conditions for finding absolute extrema in multivariable functions.
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.
Optimization Techniques: Local and Global Extrema
Discusses optimization techniques, focusing on local and global extrema in functions.
Stationary Points: Necessary Conditions and Examples
Covers necessary conditions for extrema and provides illustrative examples.
Local Extrema of Functions
Discusses local extrema of functions in two variables around the point (0,0).
