Functions with Multiple Variables

Related lectures (19)

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

Covers differentiability, composition of functions, partial derivatives, Jacobian matrix, and polar coordinates.

Explores linear applications, derivatives, Jacobian matrix, composition of functions, and matrix products.

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

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

Explores the geometric interpretation of derivatives and properties of derivable functions.

Covers differential calculus applications and reminders, emphasizing the importance of differentiability in mathematical analysis.

Explains partial derivatives, Hessienne matrix, and their properties.

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

Explores directional derivatives, their calculation, examples, and cases of lack of continuity.