SourceXtractorPlusPlus
0.10
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Class containing the summary information of solving a least square minimization problem. More...
#include <LeastSquareSummary.h>
Public Attributes | |
bool | success_flag = true |
Flag indicating if the minimization was successful. More... | |
size_t | iteration_no {0} |
The number of iterations. More... | |
std::vector< double > | parameter_sigmas {} |
boost::any | underlying_framework_info {} |
Class containing the summary information of solving a least square minimization problem.
Definition at line 38 of file LeastSquareSummary.h.
size_t ModelFitting::LeastSquareSummary::iteration_no {0} |
The number of iterations.
Definition at line 44 of file LeastSquareSummary.h.
Referenced by ModelFitting::GSLEngine::solveProblem().
std::vector<double> ModelFitting::LeastSquareSummary::parameter_sigmas {} |
Definition at line 47 of file LeastSquareSummary.h.
Referenced by ModelFitting::GSLEngine::solveProblem().
bool ModelFitting::LeastSquareSummary::success_flag = true |
Flag indicating if the minimization was successful.
Definition at line 41 of file LeastSquareSummary.h.
Referenced by ModelFitting::GSLEngine::solveProblem().
boost::any ModelFitting::LeastSquareSummary::underlying_framework_info {} |
Info of the minimization process, as provided by the underlying framework.
WARNING: Using this result will make your code compatible with only one specific implementation of LeastSquareEngine. This information is provided for completeness, but its usage is discouraged. For more information of the exact type refer to the documentation of the engine implementation you use.
Definition at line 56 of file LeastSquareSummary.h.
Referenced by ModelFitting::GSLEngine::solveProblem().