Optimization: Extrema of Functions

Related lectures (29)

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Covers the Implicit Functions Theorem, explaining how equations can define functions implicitly.

Covers the construction of measures in RN, focusing on separation and partition of compact sets.

Covers the conditions for finding absolute extrema in multivariable functions.

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

Explores limits of functions in several real variables, including the two gendarmes theorem and the minimum and maximum theorem on compact sets.

Explores functions, series, and critical points in mathematics, including maximum, minimum, supremum, and infimum concepts.

Covers the properties and operations of convex functions.

Explores limits, continuity, and uniform continuity in functions, including properties at specific points and closed intervals.

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

Covers the statement of the Bernoulli's Hospital Rule and its application.