Extrema of Functions

Related lectures (31)

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

Explores concavity, convexity, critical points, and singularities in functions.

Covers optimization techniques in machine learning, focusing on convexity and its implications for efficient problem-solving.

Covers the definitions of convexity, concavity, stationary points, and inflection points.

Explores curvature, inflection points, and angular functions in plane curves, highlighting the importance of inflection points.

Focuses on determining local extremum points of functions through various examples.

Covers the definition of asymmetric functions and extremas in functions with examples.

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

Covers the terminology related to the graph of a function and intervals.

Revisits local and absolute extremums of multivariable functions, emphasizing critical points and their classification.