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Alessandro

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21 Jan 2011 Adaptive Robust Numerical Differentiation Numerical derivative of an analytically supplied function, also gradient, Jacobian & Hessian Author: John D'Errico

Sorry John, sorted out the problem, was my fault... thanks again for these useful codes.
Alessandro

21 Jan 2011 Adaptive Robust Numerical Differentiation Numerical derivative of an analytically supplied function, also gradient, Jacobian & Hessian Author: John D'Errico

Hi John,

I tried to run the Rosenbrock example included in the help of your routine hessian, i.e. I ran

rosen = @(x) (1-x(1)).^2 + 105*(x(2)-x(1).^2).^2;
[h,err] = hessian(rosen,[1 1])

I get the following error:

"??? Error using ==> subsindex
Function 'subsindex' is not defined for values of class 'function_handle'."

do you know how to solve this?
thank you.
Alessandro

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