Re: best fitting

*To*: mathgroup at smc.vnet.net*Subject*: [mg86725] Re: best fitting*From*: dh <dh at metrohm.ch>*Date*: Wed, 19 Mar 2008 05:26:58 -0500 (EST)*References*: <fro394$i7k$1@smc.vnet.net>

Hi, this recursive definition is a hard nut. I do not know a direct way, but you could try iteration. Assume a K, make your fit, calculate a new K, make another fit, ..., then hope that the whole procedure converges. hope this helps, Daniel umby wrote: > Hi, > > > > I have some experimental data in the form of quadruplets {P, W, t, D}. > > How can I find the best fit parameters: alfa, A and E1 of the function: > > > > P = { (W - K^2/3) / t + A [(W - K^2/3) / t]^3} E1 (t^4) / (25^2) > > > > where K = P / (alfa D^0.5). > > > > Thank you > > -u > > >