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Benn Eifert

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27 Jun 2009 Adaptive Robust Numerical Differentiation Numerical derivative of an analytically supplied function, also gradient, Jacobian & Hessian Author: John D'Errico

help! just downloaded the toolbox and tried to run the most basic example in the derivest documentation:

[d,e]=derivest(@(x) exp(x),1)

and got a bunch of errors of this form:

Error in ==> factorial at 8
x = n*factorial(n-1);

Error in ==> factorial at 8
x = n*factorial(n-1);

Error in ==> derivest>fdamat at 564
c = 1./factorial(1:2:(2*nterms));

Error in ==> derivest at 283
fdarule = [0 1 0]/fdamat(par.StepRatio,1,3);

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