pproximating.
	</p>
	<p>
The downside of this approach is that the optimizer may finish its work anytime between 10 nanoseconds and 6 billion years. This depends on the number of variables and the polynomial degree.
	</p>
	<p>
The other approach is a hack. The thing is, in practice, we never get our polynomial exactly interpolating due to the computational error. If we're ok with this, we can choose some tolerable interpolation error beforehand and use the same orthogonal principle matrix. This will approxi