Class
NumCosmoMathFitGSLMM
Description [src]
final class NumCosmoMath.FitGSLMM : NumCosmoMath.Fit
{
/* No available fields */
}
Best-fit finder — GSL non-linear minimization algorithms.
This object implements a best-fit finder using the GSL non-linear minimization
algorithms. It is a subclass of NcmFit.
Constructors
ncm_fit_gsl_mm_new
Creates a new NcmFitGSLMM object with the given likelihood, model set and
gradient type. The algorithm to be used is specified by algo.
ncm_fit_gsl_mm_new_by_name
Creates a new NcmFitGSLMM object with the given likelihood, model set and
gradient type. The algorithm to be used is specified by algo_name.
If algo_name is NULL, the default algorithm (#NCM_FIT_GSL_MM_VECTOR_BFGS2)
is used.
ncm_fit_gsl_mm_new_default
Creates a new NcmFitGSLMM object with the given likelihood, model set and
gradient type. The algorithm to be used is the default one (#NCM_FIT_GSL_MM_VECTOR_BFGS2).
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.