
Jinglei
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Question
Modeling of one independent variable with different ranges
I want model three groups of data which share the same independent variable but different ranges and different amounts of points...
presque 2 ans il y a | 1 réponse | 0
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réponseQuestion
I am confused about why my code doesn't lead to a fitting result.
x=[0 1 2 3 4 5 6 7 8 9 10] xs = 0:0.01:120; y=[0 4 9 16 25 36 49 64 81 100 121] myfunc=@fitting; rng('shuffle'); best_r = i...
environ 2 ans il y a | 2 réponses | 0
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I am confused by the error: "Error evaluating inline model function"
myfunc=inline('fitting(c,x)','c','x'); c0=[1.5,1.5]; c=nlinfit(x,y,myfunc,c0) function ytotal = fitting(c,x) xspan = x; ...
environ 2 ans il y a | 1 réponse | 0
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réponseQuestion
initial point is a local minimum. Optimization completed because the size of the gradient at the initial point is less than the default value of the function tolerance.
I just found the result not the optimum and the parameters obtained are always the initial ones. global c xdata = [0 ...
plus de 2 ans il y a | 1 réponse | 0