Non-linear least-squares fitting [abstract base]. More...
#include <fit_base.h>
Detailed Description
template<class func_t = fit_funct, class vec_t = boost::numeric::ublas::vector<double>, class mat_t = boost::numeric::ublas::matrix<double>>
class o2scl::fit_base< func_t, vec_t, mat_t >
Definition at line 329 of file fit_base.h.
Public Member Functions | |
| virtual int | print_iter (size_t nv, vec_t &x, double y, int iter, double value=0.0, double limit=0.0) |
| Print out iteration information. More... | |
| virtual int | fit (size_t npar, vec_t &parms, mat_t &covar, double &chi2, func_t &fitfun)=0 |
Fit function fitfun using parameters in parms as initial guesses. More... | |
| virtual const char * | type () |
| Return string denoting type ("fit_base") | |
Public Attributes | |
| size_t | ntrial |
| Maximum number of iterations (default 500) | |
| double | tol_abs |
| Absolute tolerance (default 1.0e-4) | |
| double | tol_rel |
| (default 1.0e-4) | |
| int | verbose |
| An integer describing the verbosity of the output. | |
| size_t | n_dat |
| The number of data points. | |
| size_t | n_par |
| The number of parameters. | |
Member Function Documentation
◆ fit()
|
pure virtual |
The covariance matrix for the parameters is returned in covar and the value of 
is returned in chi2.
Implemented in o2scl::fit_nonlin< fit_fix_pars< bool_vec_t, gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > >, and o2scl::fit_fix_pars< bool_vec_t, gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > >.
◆ print_iter()
|
inlinevirtual |
Depending on the value of the variable verbose, this prints out the iteration information. If verbose=0, then no information is printed, while if verbose>1, then after each iteration, the present values of x and y are output to std::cout along with the iteration number. If verbose>=2 then each iteration waits for a character.
Definition at line 360 of file fit_base.h.
The documentation for this class was generated from the following file:
- /home/awsteiner/wcs/o2scl/src/fit/fit_base.h