Class
NumCosmoMathFitGSLMMS
Description [src]
final class NumCosmoMath.FitGSLMMS : NumCosmoMath.Fit
{
/* No available fields */
}
Best-fit finder — GSL non-linear minimization (simplex) algorithms.
This object implements a best-fit finder using the GSL non-linear minimization
(simplex) algorithms. It is a subclass of NcmFit.
Constructors
ncm_fit_gsl_mms_new
Creates a new NcmFitGSLMMS object from the given likelihood, model set,
gradient type and algorithm.
ncm_fit_gsl_mms_new_by_name
Creates a new NcmFitGSLMMS object from the given likelihood, model set,
gradient type and algorithm name. If algo_name is NULL, the default
algorithm (#NCM_FIT_GSL_MMS_NMSIMPLEX2) is used.
ncm_fit_gsl_mms_new_default
Creates a new NcmFitGSLMMS object from the given likelihood, model set and
gradient type. The algorithm is set to the default one (#NCM_FIT_GSL_MMS_NMSIMPLEX2).
Properties
Properties inherited from NcmFit (13)
NumCosmoMath.Fit:equality-constraints
NumCosmoMath.Fit:equality-constraints-tot
NumCosmoMath.Fit:grad-type
NumCosmoMath.Fit:inequality-constraints
NumCosmoMath.Fit:inequality-constraints-tot
NumCosmoMath.Fit:likelihood
NumCosmoMath.Fit:m2lnL-abstol
NumCosmoMath.Fit:m2lnL-reltol
NumCosmoMath.Fit:maxiter
NumCosmoMath.Fit:mset
NumCosmoMath.Fit:params-reltol
NumCosmoMath.Fit:state
NumCosmoMath.Fit:sub-fit
Signals
Signals inherited from GObject (1)
GObject::notify
The notify signal is emitted on an object when one of its properties has its value set through g_object_set_property(), g_object_set(), et al.