fitting spline on data and getting equation

i have a table with 3 variables(B/H)= 1,2,3,4,5,6,7,8 and fi= 0,10,20,30 and h which is depend on (B/H) and fi that contains 32 values. for example for fi=0 and (B/H)=1 >>h=1 fi=0 and (B/H)=2 >>h=1.02 ...... fi=30 and (B/H)=8 >>h=14800
h:[ 1 1.02 1.11 1.21 1.3 1.4 1.59 1.78
1 1.11 1.35 1.62 1.95 2.33 3.34 4.77
1.01 1.39 2.12 3.29 5.17 8.29 22 61
1.13 2.5 6.36 17.5 50 150 1400 14800]
>>>>is there any way in MATLAB to fit spline on data and get equation for h in terms of (B/H) and fi??and how could we make sure that spline is a good fit for our data???

2 Comments

Hi milad!
it does not suit?
<http://www.mathworks.com/matlabcentral/answers/10582-deriving-surface-equation-form-data-on-a-table>
Hi dear,
would you please answer my 2 comment below that previous code that u mentiond above?i have question about other h values on table and then about how u consider h values???on the other hand because of large range of h values from 1 to 14800 i coouldnt find any 2dweighted polynomial to fit well.so i am looking for a spline to fit well on h vales.would you please help me more to solve this problem anyway??

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Answers (1)

If you have the spline toolbox you should take a look at spas2, spaps and csasp.
HTH,

4 Comments

would u plz help me on using csasp ?how should i introduce my values??i am new to MATLAB world.
At the command line type: help csasp
There should be some example in there, that you hopefully can adjust. When you get problems with that, comeback with specific questions, and we'll help you further.
tnx for your help, i plotted my data with mesh command and then try to 2d interpolate with inter2(linear method gives me better answer than spline somehow) and get pretty answer on interpolation.now i would like to know is there any way to find that equation which fitted my data and and also evaluate the interpolated data???
i have the same question, that i have fitted a curve to my 3 variable data set. Now i want to know what is the equation of the fitted curve.

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Asked:

on 13 Jul 2011

Commented:

on 8 Nov 2019

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