Numerical Differentiation of Data (derivative)

version 3.0.3 (383 KB) by
Numerical differentiation of data (i.e. arrays) over the domain of the data or at specified points.

Updated 27 Aug 2021

From GitHub

derivative

Numerical differentiation of data (i.e. arrays).

Syntax

dy = derivative(x,y)
dy = derivative(x,y,x_star)

Description

dy = derivative(x,y) returns the derivative of a set of data, vs. (which are stored in y and x). dy stores the derivative of y vs. x at every point in x.

dy = derivative(x,y,x_star) returns the derivative of a set of data, vs. (which are stored in y and x), at the set of points specified by (x_star). x_star can be a scalar or a vector.

• This function is the equivalent of trapz and cumtrapz for numerical differentiation and is especially useful for estimating derivatives where the underlying function is unknown (i.e. we have some data set vs. that describes a function , but this underlying function is unknown and so we use the data set to approximate its derivative).
• If we do know the underlying function , then we can still use derivative to estimate its derivative. We can do this by defining a vector of points x and then populating a vector y with evaluations of at every point in x. However, in this case (where the underlying function is known), iderivative and derivest are better functions to use.

• See "EXAMPLES.mlx" or the "Examples" tab on the File Exchange page for examples.

Cite As

Tamas Kis (2022). Numerical Differentiation of Data (derivative) (https://github.com/tamaskis/derivative-MATLAB/releases/tag/v3.0.3), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux