#include <fitting.h>
Inheritance diagram for FunctionFitInterface:
Public Member Functions | |
| virtual bool | init (ModelFunction &model_func, unsigned int nvals)=0 |
| virtual bool | fit (const Array< float, 1 > &yvals, const Array< float, 1 > &ysigma=defaultArray, const Array< float, 1 > &xvals=defaultArray, unsigned int max_iterations=DEFAULT_MAX_ITER, double tolerance=DEFAULT_TOLERANCE)=0 |
Detailed Description
Member Function Documentation
◆ fit()
|
pure virtual |
The fitting routine that takes the starting values from the model function, y-values 'yvals', and optionally the corresponding y-error bars 'ysigma' and x-vals 'xvals'. If no error-bars are given, they are all set to 0.1 and if no x-vals are given equidistant points with an increment of one are chosen, i.e. xvals(i)=i; A maximum of 'max_iterations' iterations and the given 'tolerance' is used during the fit. Returns true on success.
Implemented in FunctionFitDownhillSimplex, and FunctionFitDerivative.
◆ init()
|
pure virtual |
Prepare a non-linear least-square fit of function 'model_func' for 'nvals' values
Implemented in FunctionFitDownhillSimplex, and FunctionFitDerivative.
The documentation for this class was generated from the following file:
