Commit before starting refactoring of FitSuiteKernel.

Core/Fitting/FitSuiteKernel.cpp

@@ -118,6 +118,10 @@ void FitSuiteKernel::minimize()
         [&] (const double* pars) {return m_function_chi2.evaluate(pars);};
     m_minimizer->setChiSquaredFunction( fun_chi2, m_fit_parameters.size());
 
+//    objective_function_t fun_chi2 =
+//        [&] (const std::vector<double>& pars) {return m_function_chi2.evaluate(pars);};
+//    m_minimizer->setObjectiveFunction( fun_chi2);
+
     IMinimizer::function_gradient_t fun_gradient =
         [&] (const double* pars, unsigned int index, double* gradients)
         {

Fit/Kernel/FitKernelImp.cpp

@@ -57,8 +57,6 @@ void FitKernelImp::minimize()
 
     // set found values to the parameters
     m_minimizer->propagateResults(m_fit_parameters);
-
-
 }
 
 std::string FitKernelImp::reportResults() const

Fit/RootAdapter/RootMinimizerAdapter.cpp

@@ -39,7 +39,7 @@ void RootMinimizerAdapter::minimize()
 {
     propagateOptions();
 
-    rootMinimizer()->SetFunction(*m_obj_func->rootChiSquaredFunction());
+//    rootMinimizer()->SetFunction(*m_obj_func->rootChiSquaredFunction());
 
     m_status = rootMinimizer()->Minimize();
 }

Fit/RootAdapter/RootObjectiveFuncAdapter.cpp

@@ -34,7 +34,7 @@ void RootObjectiveFunctionAdapter::setNumberOfParameters(int nparameters)
     m_nparameters = nparameters;
 }
 
-//! Creates objective function suitable for ROOT minimizers
+//! Creates objective function suitable for ROOT minimizers.
 
 const ROOTMinimizerChiSquaredFunction*
     RootObjectiveFunctionAdapter::rootChiSquaredFunction()