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Related lectures (31)

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Covers the discussion of local extrema, concavity, convexity, and inflection points in functions.

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

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

Explains extrema of functions in several variables, stationary points, saddle points, and the role of the Hessian matrix.

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

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

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

Covers the conditions for finding absolute extrema in multivariable functions.

Explores stationary points, saddle points, symmetric matrices, and orthogonal properties in optimization.

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