Implicit Function Theorem: Local Extrema

Related lectures (29)

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Discusses extrema of functions with multiple variables and the hessian matrix.

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

Explores the study of local extrema using derivatives and the importance of continuity at critical points.

Covers derivatives, reciprocal functions, Rolle's theorem, and extremum local concepts.

Explores directional derivatives in two-variable functions and extremum points.

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

Covers higher derivatives, local extrema, and the application of Rolle's and Mean Value Theorems.

Covers the study of functions, including limits, derivatives, and sign variations.

Covers Fermat's theorem, necessary optimality conditions, convexity, and eigenvalue curvature in optimization.

Covers the analysis of local and global extrema, concavity, and inflection points.