20 :
ROOT::Math::FitMethodFunction(static_cast<int>(npars), static_cast<int>(ndatasize)),
21 m_objective_fun(objective_fun), m_gradient_fun(gradient_fun), m_npars(npars),
28 return ROOT::Math::FitMethodFunction::kLeastSquare;
44 double* gradients)
const
46 std::vector<double> par_values;
47 par_values.resize(
m_npars, 0.0);
48 std::copy(pars, pars +
m_npars, par_values.begin());
50 std::vector<double> par_gradients;
60 for (
size_t i = 0; i <
m_npars; ++i)
61 gradients[i] = par_gradients[i];
68 std::vector<double> par_values;
69 par_values.resize(
m_npars, 0.0);
70 std::copy(pars, pars +
m_npars, par_values.begin());
std::function< double(const std::vector< double > &)> scalar_function_t
std::function< double(const std::vector< double > &, unsigned int, std::vector< double > &)> gradient_function_t
Declares class RootResidualFunction.
double DoEval(const double *pars) const override
evaluation of chi2
Type_t Type() const override
double DataElement(const double *pars, unsigned int index, double *gradients=0) const override
Evaluation of single data element residual. Will be called by ROOT minimizer.
scalar_function_t m_objective_fun
User function to get value to minimizer.
ROOT::Math::BasicFitMethodFunction< ROOT::Math::IMultiGenFunction >::Type_t Type_t
RootResidualFunction(scalar_function_t objective_fun, gradient_function_t gradient_fun, size_t npars, size_t ndatasize)
Constructs RootResidualFunction.
ROOT::Math::IMultiGenFunction * Clone() const override
gradient_function_t m_gradient_fun
User function to get residual and gradients.