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    Taylor series to approximate a generic function
  
        
  
    
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  | let fact x = | |
| let rec fact_r i acc = | |
| match i with | |
| | 0.0 -> acc | |
| | a -> fact_r (i - 1.0) (acc * i) | |
| fact_r x 1.0 | |
| let rec pwr bas ex = | |
| match ex with | |
| | 0 -> 1.0 | |
| | _ -> bas * (pwr bas (ex - 1)) | |
| let rec derivative f i delta = | |
| let deri f delta = | |
| let deri_r x = | |
| (f (x + delta) - f x) / delta | |
| deri_r | |
| match i with | |
| | 0 -> f | |
| | _ -> derivative (deri f delta) (i - 1) delta | |
| let tay_terms f point delta = | |
| let tay_term i x = | |
| (((derivative f i delta) point) / (fact i)) * (pwr (x - point) i) | |
| let rec tay_term_r i = | |
| seq { | |
| yield tay_term i | |
| yield! tay_term_r (i + 1) | |
| } | |
| tay_term_r 0 | |
| let taylor f point i delta = | |
| let terms = tay_terms f point delta | |
| let rec taylor_r ind acc = | |
| if ind > i then | |
| acc | |
| else | |
| taylor_r (ind + 1) (fun b -> (acc b + (Seq.item ind terms b))) | |
| taylor_r 0 (fun a -> 0) | 
  
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My own implementation of the Taylor series after seeing @kspalaiologos blog post.
I'm fairly new to functional programming and my implementation is written in
F#. It looks ugly and could be better. But for now it is good enough.