Max/min: optimization

Related lectures (29)

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

Explores continuity, differentiability, boundedness, and extrema of functions in multiple variables.

Explores the conditions for continuity and differentiability of functions on a closed interval.

Covers differentiability, derivatives, continuity, and matrices in functions from R^n to R^m.

Explores derivatives, reciprocal functions, and continuity of functions with examples and formulas.

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

Covers differentiability of functions in two variables and the conditions for a function to be differentiable.

Covers the first 6 multiple-choice questions for Analyse 1 in 2018.

Explores functions, derivatives, classes in neighborhoods, and compound functions.

Covers the theorem of the intermediate value, corollaries, and geometric interpretation of derivatives.