Hi folks - I have a couple of questions regarding the math tools for polynomial approximation. Context: I'm interested in making fast math approximations that are also highly accurate. These include standard functions, but also custom fits. I've successfully used the chebyshev_transform and remez tools to make such approximations. However, I know in many cases I could get better results. So my questions are the following: 1. For the remez tool, how could we constrain e.g. odd or even powers of numerator, denominator, or both to zero? This is common in highly accurate trig approximations for example. Looking at the code, I suspect we'd need to change the degrees of freedom for the solver, but I don't know how straightforward it would be to make such a change (or if there are theoretical reasons why this couldn't work with the remez algorithm) 2. Getting accurate results with chebyshev_transform requires the Crenshaw algorithm, which makes these approximations far slower than those I get from the remez tool. Are there a class of polynomials where I could transform these to a standard Horner's or Estrin's scheme in a way that is numerically stable? If so, any pointers to how to do that? Thanks, Brian