A lot has been written about Babbage's
Difference Engine, and the
method of divided differences it exploited to do its job, but having been exposed to the genius of it in ways I finally understand, I want to recognize it for the extraordinary clever idea it was
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If you go on to study abstract algebra, number theory, and/or digital logic, it is revealed that this is how everything works. That is, all the operations on rational numbers are built from addition, and a couple of extras of things included in addition like the axiom of choice.
As for polynomial approximations, that is right on track; there's a proof that you can approximate any function in L2 with three nested sets of polynomials of sufficient order... and guess who's almost done with a GPU accelerated application of it?
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http://mathworld.wolfram.com/L2-Function.html
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It's not much of a stretch to imagine a proof of that assertion, given the known examples of Taylor series approximations of trig and exponent functions and the ability to approximate many of them quite closely over at least some ranges with partial Taylor series. I'm interested in that GPU accelerated application when it reaches a stage where you can disclose it ..
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