cdirectional
Directional derivative of a multivariate, scalar-valued function using the central difference approximation.
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Contents
Syntax
Dv = cdirectional(f,x0,v) Dv = cdirectional(f,x0,v,h)
Description
Dv = cdirectional(f,x0,v) numerically evaluates the directional derivative of with respect to at in the direction of using the central difference approximation with a default relative step size of , where is the machine zero.
Dv = cdirectional(f,x0,v,h) numerically evaluates the directional derivative of with respect to at in the direction of using the central difference approximation with a user-specified relative step size .
Input/Output Parameters
Variable | Symbol | Description | Format | |
Input | f | multivariate, scalar-valued function () | 1×1 function_handle |
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x0 | evaluation point | n×1 double |
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v | vector defining direction of differentiation | n×1 double |
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h | (OPTIONAL) relative step size (defaults to $h=\varepsilon^{1/3}$) | 1×1 double |
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Output | Dv | directional derivative of with respect to in the direction of , evaluated at | 1×1 double |
Note
- This function requires evaluations of .
- This implementation does not assume that is a unit vector.
Example
Approximate the directional derivative of at in the direction of using the cdirectional function, and compare the result to the true result of .
Approximating the directional derivative,
f = @(x) x(1)^5+sin(x(2))^3; x0 = [5;8]; v = [10;20]; Dv = cdirectional(f,x0,v)
Dv = 3.1241e+04
Calculating the error,
error = Dv-(31250+60*sin(8)^2*cos(8))
error = 9.1068e-06