Derivation Term by Term

Related lectures (28)

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Explores derivability, continuity, and composite functions with illustrative examples.

Covers Fermat's theorem, necessary optimality conditions, convexity, and eigenvalue curvature in optimization.

Covers Rolle's Theorem and the Mean Value Theorem with illustrative examples.

Covers the concept of approximating a function around a point xo using linear approximation.

Explores algebraic operations on limited developments and their consequences on differentiable functions, illustrated through examples.

Covers the definition and properties of differentiable functions, focusing on differentiability, limits, continuity, and partial derivatives.

Covers the definition of differentiable functions and explores the representation of the remainder in derivatives.

Explores the extension of the chain rule to higher dimensions and compositions of functions.

Explores differentiability, tangent lines, and graph interpretation.

Explains partial derivatives, Hessienne matrix, and their properties.