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SuperSmoothlet [dnorm/Lagrange]
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Joined: 04/07/2015(UTC) Posts: 6,866 Was thanked: 981 time(s) in 809 post(s)
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dnorm/Lagrange 5 parameters does not come from books of "Grand Savants", just from my box. Generally, the native "Gaussian ksmooth" is sufficient, useless for Carbon 12 α. The J(x) fraction is from the conversion of either "continued fraction" or from Padé normalised rational fraction. This algorithm is not new, it dates back to the times of the first IBM MainFrames. Maple has maintained it and is accessible from Smath. The most gorgeous piece of maths in there is the approximation of the smoothed data sets to the rational fraction. The original algo is collaboration Jean/Robert [Mathsoft Collaboratory ... 2003] Enjoy, comment ... Jean Smoothlet Splres Copy.sm (38kb) downloaded 31 time(s). Smoothlet Supersmoothlet_Lagrange C12 Copy.sm (72kb) downloaded 28 time(s).
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SuperSmoothlet [dnorm/Lagrange]
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