23 , m_objective_fun(std::move(objective_fun))
24 , m_gradient_fun(std::move(gradient_fun))
26 , m_datasize(ndatasize)
48 double* gradients)
const
50 std::vector<double> par_values;
51 par_values.resize(
m_npars, 0.0);
52 std::copy(pars, pars +
m_npars, par_values.begin());
54 std::vector<double> par_gradients;
64 for (
size_t i = 0; i <
m_npars; ++i)
65 gradients[i] = par_gradients[i];
72 std::vector<double> par_values;
73 par_values.resize(
m_npars, 0.0);
74 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.
Type_t
enumeration specyfing the possible fit method types
double DoEval(const double *pars) const override
evaluation of chi2
Type_t Type() const override
scalar_function_t m_objective_fun
User function to get value to minimizer.
double DataElement(const double *pars, unsigned int index, double *gradients=nullptr) const override
Evaluation of single data element residual. Will be called by ROOT minimizer.
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.
Various mathematical functions.
BasicFitMethodFunction< ROOT::Math::IMultiGenFunction > FitMethodFunction