I recently asked a Question for which the only Answer I got was a recommendation to punt and use the Pade Approximant.
This is the first time I recalling seeing this, and intuitively it seems like a good approximation. I have seen and generated several examples where the Pade Approximant of order ${m,n}$ is visually better than the $(m+n)th$ order Maclaurin Series. I've also seen online sources that refer to is as the "best" approximation without explaining in what way. So is the Pade Approximant just a really intuitive heuristic? Or is there some fit metric that it actually optimizes?
There seem to be two questions here:
1) do rational functions give better approximants than polynomials ?
2) does Padé give the best rational approximants ?
Of course, "it depends", but some comments beyond that:
In signal processing, there's a lot of lore, and a 5-foot shelf of books and methods, on FIR and IIR filters -- polynomial and rational approximants in the frequency domain. My non-expert summary is that rational functions can fit "peaky" spactra much better, but can be tricky; don't use degree > 2 in the denominator ... unless you know what you're doing.
On Padé, Numerical Recipes pages 245-247 says