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LeastSquares.h 123 }
unsigned maximum_iterations The maximum number of iterations in during fit. Definition: LeastSquares.h:93 void set_maximum_reduced_chisq(float maximum_reduced_chisq) Set the reduced chi-squared above which the fit is considered bad. Definition: LeastSquares.C:45 unsigned get_ndat_constraint() const The total number of constraints (one-dimensional data) Definition: LeastSquares.h:85 bool get_solved() const Return true when the fit has been solved. Definition: LeastSquares.h:64 void set_solved(bool val) Set the solved flag (can be used to flag bad data) Definition: LeastSquares.h:61 float best_chisq The best chi-squared in last call to solve method. Definition: LeastSquares.h:108 float maximum_reduced The maximum reduced chi-squared allowed. Definition: LeastSquares.h:102 float convergence_delta The convergence delta. Definition: LeastSquares.h:99 float convergence_chisq The convergence chisq. Definition: LeastSquares.h:96 unsigned get_nparam_infit() const Get the number of parameters in fit. Definition: LeastSquares.h:82 Namespace in which all modeling and calibration related code is declared. Definition: ExampleComplex2.h:16 unsigned nparam_infit The number of parameters to be fit. Definition: LeastSquares.h:114 void get_covariance(matrix &c) const Get the covariance matrix of the last fit. Definition: LeastSquares.h:88 bool singular Set true when the fit failed due to a singular Hessian matrix. Definition: LeastSquares.h:126 unsigned iterations The number of iterations in last call to solve method. Definition: LeastSquares.h:105 void set_maximum_iterations(unsigned maximum_iterations) Set the maximum number of iterations in fit algorithm. virtual std::string get_name() const =0 Return the name of the fit algorithm. void set_convergence_delta(float delta_parameters) Set the convergence threshold as relative change in parameters. Definition: LeastSquares.C:40 bool solved Set true when fit has been solved. Definition: LeastSquares.h:123 unsigned get_iterations() const The number of iterations in last call to solve method. Definition: LeastSquares.h:73 void set_convergence_chisq(float chisq) Set the convergence threshold as an absolute value of chisq. Definition: LeastSquares.C:35 float get_chisq() const The chi-squared in last call to solve method. Definition: LeastSquares.h:76 bool get_singular() const Return true when the fit has failed due to singularity. Definition: LeastSquares.h:70 matrix covariance The covariance matrix set after fitting. Definition: LeastSquares.h:129 unsigned get_maximum_iterations() const Get the maximum number of iterations in fit algorithm. Definition: LeastSquares.h:46 unsigned nfree The number of free parameters in last call to solve method. Definition: LeastSquares.h:111 void set_debug(bool flag=true) Set the verbosity during solve. Definition: LeastSquares.h:58 unsigned ndat_constraint The total number of constraints (multi-dimensional data) Definition: LeastSquares.h:117 unsigned get_nfree() const The number of degrees of freedom in last call to solve method. Definition: LeastSquares.h:79 void set_singular(bool val) Set the singular flag (can be used to flag bad data) Definition: LeastSquares.h:67 Generated using doxygen 1.8.17
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