Natural Cubic Spline Interpolation Example | Numerical Methods

[@siyabulelamanona1438]

This helped so much.... Best video I have seen by a mile and will be sharing with all my classmates

[@infinitedeathloop5517]

Underrated! Thanks so much man!!! This is so helpful!!!

[@StudySessionYT]

Glad you liked it! Thank you for watching!

[@infinitedeathloop5517]

@@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 :)

[@DArnez-c5n]

Bro this is crystal clear. Thank you so much for help

[@MrThib98]

Incredible vidéo, thank you very much !!!

[@hyperkulla7544]

Don't you need to substitute (x-1) , (x-3),(x-5)... to x in those polynomials?

[@muhannedalsaif153]

beautiful! thank you

[@StudySessionYT]

Thanks for watching!

[@zirkq]

unbelievably goated

[@sophiachiha9447]

Is it possible to get access to the python code?

[@nurfatinnabilah1764]

how to find the natural Cubic Spline Interpolation in parametric form?

[@oluwaferanmi100]

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

[@blendcreator]

Can somebody explain, how to calculate a,b,c and d?

[@StudySessionYT]

It is just a linear system of equation. This video may help: studio.kzbin.infoEjFptcxgw28/edit