Fitting data in x,y to a known function
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Hi everyone. I have a function that is f = 1/(a+b*x) where a and b are the values to obtain and I have some data:
x1 = linspace(1,32,32);
y1 = [0.01 0.02 0.02 0.02 0.02 0.02 0.03 0.03 0.03 0.04 0.04 0.05 0.05 0.06 0.07 0.07 0.08 0.10 0.11 0.14 0.14 0.17 0.17 0.16 0.21 0.31 0.31 2.43 2.43 29.53 29.53 29.53];
I need to fit these two variables x1 and y1 into the function above to obtain a and b. How can I do this?
I'm sorry I'm pretty new in Matlab. Thank you.
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Star Strider
2019년 12월 12일
x1 = linspace(1,32,32);
y1 = [0.01 0.02 0.02 0.02 0.02 0.02 0.03 0.03 0.03 0.04 0.04 0.05 0.05 0.06 0.07 0.07 0.08 0.10 0.11 0.14 0.14 0.17 0.17 0.16 0.21 0.31 0.31 2.43 2.43 29.53 29.53 29.53];
f = @(p,x) 1./(p(1) + p(2).*x);
P = fminsearch(@(p) norm(y1 - f(p,x1)), rand(2,1));
x1v = linspace(min(x1), max(x1));
figure
plot(x1, y1, 'p')
hold on
plot(x1v, f(P,x1v), '-r')
hold off
grid
producing:
P =
0.845464263829100
-0.025490734971736
where ‘P(1)=a’, and ‘P(2)=b’.
The plot appears correct, even though it looks a bit strange.
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Nicolas B.
2019년 12월 12일
If you have it, I would recommend to use the Curve Fitting Toolbox. You can give it the expected function and it fits the parameters.
Otherwise, the only solution would be to yourself try to fit the function on the samples based on an optimization method but that requires to investigate mathematic fitting.
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