Vectorization of for loop

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Safwana Razak
Safwana Razak 2021-7-15
回答： Jayant Gangwar 2021-7-15
B = randi(10x5);
x = randi(10x40);
y = randi(10x1);
% Modelfun = equation to fit
% I can do a for loop like this:
for i=1:10
[beta(i,:)]=nlinfit(x(i,:),y(i,:),modelfun,B)
end
Can I do vectorization? for example 10 fittings all at once, without using loops? or maybe using @cellfun or @arrayfun?
  1 个评论
KSSV
KSSV 2021-7-15
编辑：KSSV 2021-7-15
cellfun, arrayfun also uses loop inside...

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回答（1 个）

Jayant Gangwar
Jayant Gangwar 2021-7-15
It seems to me that you want to avoid the use of loops for finding all the rows of beta, You can do it by directly passing the complete x matrix and y vector to the nlinfit function, It will automatically save the answer in different rows of beta. An example of the same is given below-
S = load('reaction');
X = S.reactants; % 13x3 matrix
y = S.rate; % 13x1 vector
beta0 = S.beta;
[beta,R,J,CovB,MSE,ErrorModelInfo] = nlinfit(X,y,@hougen,beta0,'ErrorModel','combined');
beta
This is an example given in the documentation for nlinfit, for more information please take a look at the documentation for nlinfit - Nonlinear regression - MATLAB nlinfit (mathworks.com)

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