Numerical Differentiation of Data (derivative)
バージョン 3.0.3 (383 KB) 作成者:
Tamas Kis
Numerical differentiation of data (i.e. arrays) over the domain of the data or at specified points.
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.
Additional Notes
- This function is the equivalent of
trapz
andcumtrapz
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 pointsx
and then populating a vectory
with evaluations of at every point inx
. However, in this case (where the underlying function is known),iderivative
andderivest
are better functions to use.
Examples and Additional Documentation
- See "EXAMPLES.mlx" or the "Examples" tab on the File Exchange page for examples.
- See "Basic_Numerical_Calculus.pdf" (also included with download) for the technical documentation.
引用
Tamas Kis (2024). Numerical Differentiation of Data (derivative) (https://github.com/tamaskis/derivative-MATLAB/releases/tag/v3.0.3), GitHub. 取得済み .
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作成:
R2021a
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