At Tue, 18 Jul 2006 20:48:39 +0200 (CEST), Petr Ent wrote: > i understand it that you should compute the value of your function to be > fitted with current results (x vector) and store it to vector f. but in this > example, you do that + substract "real value" (y_i) from it and divide it by > deviation (sigma_i). > > gsl_vector_set (f, i, (Yi - y[i])/sigma[i]); > > why do you do that? and what if you dont know deviation of data to be fitted?
The fitting minimises the residual vector, model - data, and this is what the function has to provide. For data with unknown errors, set sigma = 1. -- best regards, Brian Gough Network Theory Ltd, Publishing the GSL Manual - http://www.network-theory.co.uk/gsl/manual/ _______________________________________________ Help-gsl mailing list Help-gsl@gnu.org http://lists.gnu.org/mailman/listinfo/help-gsl
