How do I calculate partial derivatives numerically for a multi dimensional function?
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Hello,
I have a 6 dimentional function, which is a trained Gaussian process regression model obtained using the Regression Learner Matlab app.
I want to calculate the particual detivatives numerically with respect to each of the dimentions.
How can I do this, when the function is of the form trainedModel.predictFcn(x), where x is the 6 dimentional input vector?
Many thanks!
p.s. the reason I want to do this, is to use the Newton Raphson method to solve the equation f(x)=Y, please see my other question here if you can kindly give any further help:
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