Hi all,
i'm implementing in java a model which was originally developped in Matlab.
The goal is to minimize a non-differentiable trivariate real function.
The Matlab code calls the fminunc function
x = fminunc(fun,x0,options)
with x0 = [a, b, c] the initial guess, and
options as 'MaxFunEvals' to 500
I don't think the function is differentiable.
But i'm not very skilled in math
and mainly not at ease with the different parameters required for
optimizers creation...
Could someone advise me about which to use ?
Many thanks in advance,
regards,
Adrien
P.S. : The function is originaly vectorial, a LeastSquaresConverter is
used (the least square computation was implemented "manualy" in the
matlab code).
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
