Directional Derivatives

Related lectures (22)

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Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.

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

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

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

Covers the conditions for finding absolute extrema in multivariable functions.

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

Covers derivatives, differentiability, and tangent planes for functions of one and two variables.

Explores functions with values in R^m, gradients, derivatives, and the Jacobian matrix in multiple dimensions.

Discusses the Implicit Function Theorem and its application to tangent planes and derivatives.

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