Vector-valued function

Related lectures (29)

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Explores the definition and properties of Hermitian forms in complex vector spaces.

Covers the concepts of density, surface, length, reference frames, and vector position.

Explores partial differentiability, the chain rule, and invertibility of vector fields.

Explores vector approximation, signal detection, correlation, Fourier series, and signal comparison in signals and systems.

Covers the representation of differentiable functions in R² and the concept of changes of coordinates through bijections.

Explores the derivative of a product of functions and discusses algebraic products and scalar products of functions.

Covers the application of Cauchy equations and integral decomposition, addressing questions related to holomorphic functions and Jacobian matrices.

Explains vector functions and the parameterization of curves with examples.

Explores differentiability for functions and matrices, covering partial differentiability, the Jacobean matrix, and the chain rule.

Explores the implications of the mean value theorem and how to predict function values using derivatives.