Applications of Differential Calculus

Related lectures (29)

Page 1 of 3

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

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

Explores Taylor series, function properties, inflection points, and critical points in graphical and mathematical contexts.

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

Covers the properties and operations of convex functions.

Covers the analysis of functions, composition, and mathematical induction.

Covers the conditions for finding absolute extrema in multivariable functions.

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

Explores finding the equation of the tangent line to a function's graph at a point.

Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.