stride stride to 2. So if you want to fit each member of both
input/output arrays, set both xstride and ystride to 1, as it is in least
squares example
http://www.gnu.org/software/gsl/manual/html_node/Fitting-Examples.html
I hope this helps you
best regards
Petr Ent
Původní
regards
Petr Ent
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, but it only cares how to minimize it. Basicly, it has only vector of numbers which it should make as small as possilbe. Am I right? So I can give him residuals in points for example 0, 100, 101 and 1048 and it should be ok
Best Regards
Petr Ent
On 25/11/06, Petr Ent [EMAIL PROTECTED] wrote:
I
help
Best regards
Petr Ent
From: Petr Ent[EMAIL PROTECTED]
Subject: [Help-gsl] fitting hi
everyone, is it possible to do following thing with non-linear least
squares fitting...?
double x_init[3] = { 1.0, 0.0, 0.0 }; gsl_vector_view x =
gsl_vector_view_array (x_init, p); T
the original x_init vector?
thank you in advance
best regards
Petr Ent
hello,
I was searching in some gsl related archives and I found some interesting
information about my problem
http://sourceware.org/ml/gsl-discuss/2001/msg00284.html
I am observing the same problem, first round goes
to influence the iteration progress? Some borders for solver
which cannot be passed? Or is it possible to choose some non-derivative solver
(I have not found any type of gsl_multifit_fsolver) and will it be better? I
will appreciate any idea
best regards
Petr Ent
appreciate it.
regards Petr Ent
this is method where I use GSL to fitting
const gsl_multifit_fdfsolver_type *T;
gsl_multifit_fdfsolver *s;
int iter = 0;
gsl_multifit_function_fdf f;
double x_init[maxVars];
for (unsigned i = 0; i configData[k].seeds.size(); i++)
{
x_init[i] = configData[k
if you dont know deviation of data to be fitted?
thanks for answering
Petr Ent
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?
thanx for help
Petr Ent
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