c or use a hack.
	</p>
	<p>
The numeric approach is not so hard. Remember that the interpolating polynomial degree may be higher than the number of points in a set? We can exploit that. We can compose a Vandermonde matrix out of all interpolating points we got, and add a few fake ones to make the matrix square. Then we can use the fake ones as variables for any numeric optimizer and it will find the best fit for us.
	</p>
	<p>
When the optimizer finishes, we will have our polynomial both interpolating and a