Hi, Am I missing something? Why is a linear least squares problem (fitting constants of basis functions) being solved using a non-linear least squares solver in the first place?
On Jul 17, 2013, at 11:16 AM, Gilles <gil...@harfang.homelinux.org> wrote: > Hello. > > Constructors of classes in the "o.a.c.m.fitting" are instantiated using > an (abstract) "MultivariateVectorOptimizer". The only concrete > implementations of this class are > * LevenbergMarquardtOptimizer > * GaussNewtonOptimizer > [I.e. the API suggests that the Jacobian is not necessary for > some optimizers but no such (vector) optimizer exists currently. > Anyways the Jacobian is computed automatically (in inner class > "CurveFitter.TheoreticalValuesFunction") so that an optimizer > without derivatives is never necessary...] > > Observing that > 1. almost all the unit tests for the fitters use an instance of > "LevenbergMarquardtOptimizer", > 2. some comments in the "GaussNewtonOptimizerTest" unit test class makes > one wonder when "GaussNewtonOptimizer" should actually be preferred > over "LevenbergMarquardtOptimizer", > I would propose to deprecate the non-default constructors in all fitter > classes (and let the fitting be transparently performed with an instance > of "LevenbergMarquardtOptimizer"). > > Any objection? > > > Regards, > Gilles > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
