How to loop over a function call?

I want to evaluate a function Least_square(), over multiple iterations and return its sum. I am currently doing this by

fun = @(x) ( Least_square(x,y1) + Least_square(x,y2) + Least_square(x,y3) + Least_square(x,y4) )

Is there a better method to do this? Since I may want to evaluate it over multiple iterations

Thanks

[David Hill]

Do not understand what you want. What are x.Nd and x.mD1? It does not look like you are changing the inputs to your function.

[Avish Naredi]

Hey, I have edited my question. I hope it is clear now. This function would be optimized on x, over different y values. So, by somehow I want to loop the calculations

Answer 1

[Walter Roberson]

y = [y1, y2, y3, y4]
fun = @(x) reshape(sum(arrayfun(@(Y) Least_square(x(:), Y), reshape(y, 1, [])),2), size(x))

[Walter Roberson]

Some simplifications can be made if x is known to be scalar, or y is known to be row vector, or x is known to be column vector.

[Avish Naredi]

yes x is a row vector, and y is a table. The actual function looks as follows:

fun = @(x) ( Least_square2(x.Nd,x.mD1,x.Edef,Tvalues(1),Sigmavalues(1),S0values(1),RHvalues(1) ) + Least_square2(x.Nd,x.mD1,x.Edef,Tvalues(2),Sigmavalues(2),S0values(2),RHvalues(2) ) + Least_square2(x.Nd,x.mD1,x.Edef,Tvalues(3),Sigmavalues(3),S0values(3),RHvalues(3) ) )

Here, Sigmavalues(1),S0values(1),RHvalues(1) would comprise as y_values.

Also, thanks a lot for your help

[Walter Roberson]

fun = @(x) sum(cell2mat(arrayfun(@(T, S, S0, RH) Least_square2(x.ND, x.mD1, x.Edef, T, S, S0, RH), Tvalues(:).', Sigmavalues(:).', S0values(:).', RHvalues(:).', 'uniform', 0)), 2)

[Walter Roberson]

In the case that you know that Tvalues and so on are row vectors, then you can leave out the (:).'

[Avish Naredi]

Yes, Thanks a lot. This is working