Le 06/08/2012 18:46, Adrien Andre a écrit : > Hi all, Hi Adrien,
> > 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 ? Look at either NelderMeadSimplex, MultiDimensionalSimplex or CMAESOptimizer in the org.apache.commons.math3.optimization.direct package. best regards, Luc > > 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] > > --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
