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Which interpolation?
Posted:
Dec 7, 2012 1:13 PM


From a very slow simulation I got y= f(x): x y 5 0.8048174 6 0.8194384 ... 44 0.9706268 47 0.9724846 ... 48765 0.9999756 53765 0.9999776
For every x, I stop the simulation when the confidence interval for y is less than 2,5*10^6 (with 99% of confidence).
I can't calculate all the x's (because the simulation is very slow), so I need to interpolate; for example, I don't have y(45) or y(46).
Using the LevenbergMarquardt Least Squares Fitting, the best equation I found gives an error that is too high (about 10^4 for small x's).
Then I thought to use a cubic spline, but I notice some "fluctuations" on the tails.
Should I use LM or spline?
Thanks Cristiano



