General Case

Related lectures (29)

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Explores inflection points, convexity, concavity, and asymptotes in functions, with examples and applications.

Explores trigonometric derivatives, composition of functions, and inflection points in differential calculation.

Illustrates finding hyperplanes for surfaces and determining stationary points.

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

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

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

Explores applications of differential calculus, including theorems, convexity, extrema, and inflection points.

Explores derivatives, local extrema, and convexity in functions, including Taylor's formula and function compositions.

Explains necessary conditions for convergence in optimization problems.

Covers the concept of stationary points in optimization and how to identify local extrema.