Numerically derive a continous, non-symbolic function

I have a function defined via
function y = f(x)
% ...
end
. I now want to numerically calculate the value of it's derivative at a given point. As in, what should be in the following function's body?
function y = derivative_of_f(x)
% Calculate derivative of f at position x here
end
Is there any way to do this, without having to implement numerical differentiation myself?

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darova
darova 2019년 11월 26일
편집: darova 2019년 11월 27일
Derivative is (if you have numerical data)
dy = (y(i)-y(i-1)) / (t(i)-t(i-1));
Maybe diff (if you have a function) ?
syms x
diff(f(x))

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fi
fi 2019년 11월 26일
My function is not discretized yet, but continuous! This means I would first have to choose a precice enough discretization to use your method. That all is of course possible, but I was wondering whether there is an easier (built-in?) method where I don't have to reinvent the wheel. Kind of like the fzero function to find roots.
Maybe diff?
syms x
diff(f(x))
fi
fi 2019년 11월 26일
편집: fi 2019년 11월 26일
I don't think that will work here, since my function is not symbolic. For example, as soon as a function contains a case switch like this:
function y = f(x)
if (x > 0)
y = x^2;
else
y = x;
end
end
...diff doesn't work anymore, throwing this error: Conversion to logical from sym is not possible.
Also, I don't want the analytical derivative, but just it's numerical approximation for a single given position.
Another method
dx = 0.001;
dy = (f(x)-f(x+dx))/dx;
fi
fi 2019년 11월 27일
Yeah, that's seems like the easisest way.
I just wanted to know if there is a preferred, maybe built-in way where I don't have to take care of precision. Anyway, thanks alot!
Can you accept the answer please
fi
fi 2019년 11월 27일
Well, the answer is currently in your comment and there is no accept button for that :(
Could you maybe edit you original answer?
yes please

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