@@StudySessionYT Hi i was also wondering, assuming my dataset tends to an asymptote at the end, how would i use cubic spline interpolation to adjust for that? I fit the data using that however, it doesn't accurately mimic asymptotic behavior. Is there anything i can do so that i can make it so? Thank you :)
If you are using MATLAB, it is just as easy as saying: syms x % and let's say you need the cubic function in the first segment y1 = a1*x^3 + b1*x^2 + c1*x + d1 In Python you can use import sympy as sym x = sym.Symbol('x') # this should work as well
