Fitting Data to a Prescribed Equation

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I have an equation of the following form
Nu=A*(0.75+0.013*ALFA)*(RE)^(m)*0.711^(1/3)
Where ALFA and RE are a set of prescribed values
ALFA=0 5 10 15 20 25 Re= 200000 300000 400000 500000
Nu is a set of values obtained from simulations
I know that my equation should look like the one previously shown, I would like to solve for the coefficients A and m so my prescribed values validate the equation
Any help please?
  7 个评论
dpb
dpb 2017-10-23
Also, please clarify the equation -- is the power term at the end
RE^[m*Pr^1/3]
or
(RE^m)*Pr^1/3
or yet some other grouping? My initial fitting with the first isn't promising at all...
Abdallah Samad
Abdallah Samad 2017-10-23
Hi please attached the vales within the PDF As for the power term, its actually the second one you wrote Thank you very much !

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回答(1 个)

Nicolas Schmit
Nicolas Schmit 2017-10-23
编辑:Nicolas Schmit 2017-10-23
If I am correct, what you are trying to do is to fit a nonlinear model to a data set. The MATLAB command to do that is fitnlm. Look here for an introduction to nonlinear regression.

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