How do I use multi-parameters in my optimization problem for fminunc?
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Satyajit Ghosh
el 9 de Oct. de 2021
Comentada: Satyajit Ghosh
el 26 de Oct. de 2021
So, right now, I am performing an optimization with respect to all elements of 'A' matrix using below command.
[Aopt,fopt]=fminunc(@(A)myObjective(A,N33,p1,v,limit,n),A0,options);
But now I want an extra parameter (x) to be used for optimization also. This will be a scalar. Is the code will look like this?
[Aopt,fopt]=fminunc(@(A,x)myObjective(A,x,N33,p1,v,limit,n),A0,x0,options);
Thanks in advance.
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Matt J
el 10 de Oct. de 2021
Editada: Matt J
el 10 de Oct. de 2021
You can do something like that in the problem-based framework.
A=optimvar('A',N,3);
x=optimvar('x',1);
fun=fcn2optimexpr( @(A,x)myObjective(A,x,N33,p1,v,limit,n) , A x)
sol0.A=... %initial A0
sol0.x=... %initial x0
sol=solve( optimproblem('Objective',fun) , sol0,options);
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John D'Errico
el 9 de Oct. de 2021
No. It won't look like that. fminunc cannot somehow magically know how you intend the inputs to be used. Computers cannot read your mind. Well, not yet, but the mind reading toolbox is still under beta test.
Functions assume the input paraneters are as they are defined in the help.
If you want to optimize both A and x, then you need to treat all parameters in one vector (or array). Split them apart inside your objective function.
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