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ModelFitting
ModelFitting
Engine
LeastSquareSummary.h
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#ifndef MODELFITTING_LEASTSQUARESUMMARY_H
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#define MODELFITTING_LEASTSQUARESUMMARY_H
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#include <vector>
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#include <boost/any.hpp>
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namespace
ModelFitting
{
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struct
LeastSquareSummary
{
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bool
success_flag
=
true
;
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size_t
iteration_no
{0};
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// 1-sigma margin of error for all the parameters
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std::vector<double>
parameter_sigmas
{};
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boost::any
underlying_framework_info
{};
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};
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}
// end of namespace ModelFitting
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#endif
/* MODELFITTING_LEASTSQUARESUMMARY_H */
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std::vector< double >
ModelFitting::LeastSquareSummary
Class containing the summary information of solving a least square minimization problem.
Definition:
LeastSquareSummary.h:38
ModelFitting::LeastSquareSummary::iteration_no
size_t iteration_no
The number of iterations.
Definition:
LeastSquareSummary.h:44
ModelFitting::LeastSquareSummary::success_flag
bool success_flag
Flag indicating if the minimization was successful.
Definition:
LeastSquareSummary.h:41
ModelFitting::LeastSquareSummary::underlying_framework_info
boost::any underlying_framework_info
Definition:
LeastSquareSummary.h:56
ModelFitting
Definition:
AsinhChiSquareComparator.h:30
ModelFitting::LeastSquareSummary::parameter_sigmas
std::vector< double > parameter_sigmas
Definition:
LeastSquareSummary.h:47
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