\section{marlintpc\-:\-:Simple\-Minimizer\-Residuals\-Function Class Reference}
\label{classmarlintpc_1_1SimpleMinimizerResidualsFunction}\index{marlintpc\-::\-Simple\-Minimizer\-Residuals\-Function@{marlintpc\-::\-Simple\-Minimizer\-Residuals\-Function}}


The Minuit2 fitter function to calculate the squared sum of the residuals.  




{\ttfamily \#include $<$Simple\-Minimizer\-Residuals\-Function.\-h$>$}

Inheritance diagram for marlintpc\-:\-:Simple\-Minimizer\-Residuals\-Function\-:\begin{figure}[H]
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\subsection*{Public Member Functions}
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\item 
{\bfseries Simple\-Minimizer\-Residuals\-Function} (const E\-V\-E\-N\-T\-::\-Track $\ast$const t, {\bf Track\-Fitter\-Base} const $\ast$f)\label{classmarlintpc_1_1SimpleMinimizerResidualsFunction_a4f9b3a27c0e6e011b7f9a913747ecf14}

\item 
virtual double {\bfseries Up} () const \label{classmarlintpc_1_1SimpleMinimizerResidualsFunction_a533fa1cb0f20e03a85fcd7d57fa80035}

\item 
virtual double {\bfseries operator()} (const std\-::vector$<$ double $>$ \&) const \label{classmarlintpc_1_1SimpleMinimizerResidualsFunction_a4e9060db071b974be0662336947d460e}

\item 
void {\bfseries Set\-Error\-Def} (double def)\label{classmarlintpc_1_1SimpleMinimizerResidualsFunction_aa9229a841cbd1dbf2b3cd8d062f50f26}

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\subsection{Detailed Description}
The Minuit2 fitter function to calculate the squared sum of the residuals. 

Derived from F\-C\-N\-Base. This corresonds to a $\chi^2$ fit with all errors set to one. Advantage\-: No covariance matrix of the hits is required. 

The documentation for this class was generated from the following files\-:\begin{DoxyCompactItemize}
\item 
Simple\-Minimizer\-Residuals\-Function.\-h\item 
Simple\-Minimizer\-Residuals\-Function.\-cc\end{DoxyCompactItemize}
