I want to optimize one parameter of a function with three parameters. Lets say the function looks like this
function f = function(t,x)
f = x(1) + x(2) *x(3)
end
How can I transmit the values for x(1) and x(2) but leave x(3) open to a later optimization?

 Réponse acceptée

Ameer Hamza
Ameer Hamza le 22 Sep 2020

0 votes

Yes, you can only optimize using selected variables. For example, following use x(3) for optimization, while x(1) and x(2) are fixed.
x1 = 2; % write value of x(1)
x2 = 3; % write value of x(2)
t = 0; % write value of t
x30 = rand(); % initial guess for x3
sol = fmincon(@(x3) myFunction(t, [x1; x2; x3]), x30)
function f = myFunction(t,x)
f = x(1) + x(2) *x(3)
end

3 commentaires

So if I wanted to write an expression where I fit two variables x and y while holding two other parameters data1 and data2 constant, would it read like this? Note that data1 and data2 are column vectors and x and y are scalars.
sol = fmincon(@(x,y) myFunction(data1, data2, x, y), [x0, y0]);
Thanks,
Warren
Torsten
Torsten le 27 Jan 2023
sol = fmincon(@(x) myFunction(data1, data2, x(1), x(2)), [x0, y0]);
Warren Boschen
Warren Boschen le 27 Jan 2023
Ah okay. Thank you!

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