function with myblackbox using fminunc
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Hello guys! I got a Function F(y(x)) = sum (( yref-y(x))^2) and x(1) = q and x(2)=r and x=[q;r] and yref=0. I wanted to code this function to be used in a multi-objective optimization etc.
my initial idea is:
function F = myblackbox(x)
q = x(1)
r = x(2);
yref = 0;
y = solvemyoptimizationproblem(q,r);
F = somefunctionofy(y);
but i don't know how to use fminunc here to do a blackbox optimization and how to replace those things to have F(y(x)) correctly.
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Matt J
le 30 Août 2019
Modifié(e) : Matt J
le 30 Août 2019
lsqnonlin would be better suited to this,
x0=[q_guess,r_guess];
x=lsqnonlin( @(x) yfunction(x(1),x(2))-yref, x0);
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Matt J
le 30 Août 2019
fminsearch will search for the optimal x. You put it wherever you need the optimization to occur.
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