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LeastSquares.h Definition LeastSquares.h:20 double log_cond_Hessian Logarithm of the condition number of the Hessian matrix. Definition LeastSquares.h:104 void set_debug(bool flag=true) Set the verbosity during solve. Definition LeastSquares.h:45 void set_maximum_reduced_chisq(float maximum_reduced_chisq) Set the reduced chi-squared above which the fit is considered bad. Definition LeastSquares.C:20 float get_chisq() const The chi-squared in last call to solve method. Definition LeastSquares.h:63 void get_covariance(matrix &c) const Get the covariance matrix of the last fit. Definition LeastSquares.h:81 void set_convergence_delta(float delta_parameters) Set the convergence threshold as relative change in parameters. Definition LeastSquares.C:15 unsigned ndat_constraint The total number of constraints (multi-dimensional data) Definition LeastSquares.h:116 bool get_singular() const Return true when the fit has failed due to singularity. Definition LeastSquares.h:57 double get_log_cond_curvature() const The logarithm of the condition number of the chi-squared curvature matrix. Definition LeastSquares.h:78 float convergence_delta The convergence delta. Definition LeastSquares.h:92 double get_log_det_curvature() const The logarithm of the determinant of the chi-squared curvature matrix. Definition LeastSquares.h:75 float convergence_chisq The convergence chisq. Definition LeastSquares.h:89 void set_solved(bool val) Set the solved flag (can be used to flag bad data) Definition LeastSquares.h:48 void set_maximum_iterations(unsigned maximum_iterations) Set the maximum number of iterations in fit algorithm. unsigned get_ndat_constraint() const The total number of constraints (one-dimensional data) Definition LeastSquares.h:72 unsigned maximum_iterations The maximum number of iterations in during fit. Definition LeastSquares.h:86 float best_chisq The best chi-squared in last call to solve method. Definition LeastSquares.h:107 double log_det_Hessian Logarithm of the determinant of the Hessian matrix. Definition LeastSquares.h:101 unsigned get_nfree() const The number of degrees of freedom in last call to solve method. Definition LeastSquares.h:66 float maximum_reduced The maximum reduced chi-squared allowed. Definition LeastSquares.h:95 bool solved Set true when fit has been solved. Definition LeastSquares.h:122 unsigned nfree The number of free parameters in last call to solve method. Definition LeastSquares.h:110 void set_singular(bool val) Set the singular flag (can be used to flag bad data) Definition LeastSquares.h:54 unsigned get_nparam_infit() const Get the number of parameters in fit. Definition LeastSquares.h:69 bool get_solved() const Return true when the fit has been solved. Definition LeastSquares.h:51 virtual std::string get_name() const =0 Return the name of the fit algorithm. unsigned nparam_infit The number of parameters to be fit. Definition LeastSquares.h:113 matrix covariance The covariance matrix set after fitting. Definition LeastSquares.h:128 bool singular Set true when the fit failed due to a singular Hessian matrix. Definition LeastSquares.h:125 unsigned get_maximum_iterations() const Get the maximum number of iterations in fit algorithm. Definition LeastSquares.h:33 unsigned get_iterations() const The number of iterations in last call to solve method. Definition LeastSquares.h:60 unsigned iterations The number of iterations in last call to solve method. Definition LeastSquares.h:98 void set_convergence_chisq(float chisq) Set the convergence threshold as an absolute value of chisq. Definition LeastSquares.C:10 Namespace in which all modeling and calibration related code is declared. Definition ExampleComplex2.h:16 Generated using doxygen 1.14.0
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