The chapter I'm looking at is 'numerical differentiation'. There's a formula that just got thrown in there out of nowhere and I've got no idea where it comes from. Anyway, let's get the notation out of the way.
$f[x_i, ..., x_{i+k}]$ - denotes the divided difference of $k$-th order starting at $i$-th node.
$\omega_{n+1}(x)$ - denotes $\prod_{j=0}^{n}(x-x_j)$
Anyway, we want to see what the error of differentiation is when taking the derivative of an interpolation polynomial (in our case Newton's forward interpolation polynomial, but it's written in general form). So we take a look at:
$$f^{(k)}(x) - L_n^{(k)}(x) = (f(x) - L_n(x))^{(k)} = (f[x, x_0, ..., x_n]\omega_{n+1}(x))^{(k)} = \sum_{j=0}^{k}{k \choose j}(f[x, x_0, ..., x_n])^{(j)}\omega^{(k-j)}_{n+1}(x)$$
Seems alright so far. We take the difference of the actual derivative and the polynomial derivative, use the fact that the derivative is linear. Inside we get $f(x) - L_n(x)$ which is an error of the polynomial interpolation itself which corresponds to the formula $f[x, x_0, ...x_n]\omega_{n+1}(x)$. Take the $k$-th derivative of that, break it down into that sum. Now check this out: $$(f[x, x_0, ...x_n])^{(j)} = j!f[x,..., x, x_0, ...x_n], \text{ where the } x \text{ in } x, ..., x \text{ repeats } j+1 \text{ times}$$
Then it uses that for further derivation, but I'm stuck right here. Where does this come from? Any ideas? Thanks.