Actually, I called it pfit(); is that name also given? I don't understand your signature because a polynomial will not be provided, only data and a degree.
How can I see a list of function names in Julia, JuliaBase, ... and packages on the METADATa list. [As long as I really don't understand the namespace concept in Julia.] On Thursday, May 8, 2014 2:41:59 PM UTC+2, Andreas Noack Jensen wrote: > > I'd suggest fit(Polynomial, data) instead of polyfit(data). The generic > fit function is defined in StatsBase. > > > 2014-05-08 14:23 GMT+02:00 Hans W Borchers <hwbor...@gmail.com<javascript:> > >: > >> Because I was a (tiny) bit unsatisfied with the Polynomial package, >> I wrote my own polynomial functions, like >> >> - polyval() to be applied to vectors as well as polynomial types >> - roots() that uses the Matlab order in constructing the companion >> matrix and finding all roots >> - horner() that utilizes the Horner scheme to compute the value >> and the derivative of the polynomial at the same time >> (useful for a specialized version of Newton's algorithm) >> - a deflated Horner function to return p(x) = (x - x0)*q(x) when >> x is a root of polynomial p >> - polyfit() for fitting polynomials to data, etc. >> >> I think a polyfit() function should in any case be a part of a polynomial >> package. (Is such a function contained in any other package?) >> >> Besides that an implementation of the Muller algorithm for computing >> zeros of >> polynomials might be helpful. Or the calculation of the number of real >> roots >> of a polynomial in an interval (Descartes' and Sturm's rules). There is >> more >> interesting numerical stuff that could be part of such a polynomial >> package. >> >>
