Fitting Data to a Prescribed Equation

1 次查看(过去 30 天)
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 !

请先登录,再进行评论。

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.

类别

Help CenterFile Exchange 中查找有关 Interpolation 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by