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author | astrojhgu <astrojhgu@ed2142bd-67ad-457f-ba7c-d818d4011675> | 2011-01-04 15:20:38 +0000 |
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committer | astrojhgu <astrojhgu@ed2142bd-67ad-457f-ba7c-d818d4011675> | 2011-01-04 15:20:38 +0000 |
commit | 1f716fe1c51904cba8464a4c999110554e98e363 (patch) | |
tree | 7bdf2dd216ab5ff95bae5455e61269e591239ab4 /error_estimator | |
parent | a620837fc33ef740e95f8092df0cfe7d4222a656 (diff) | |
download | opt-utilities-1f716fe1c51904cba8464a4c999110554e98e363.tar.bz2 |
git-svn-id: file:///home/svn/opt_utilities@154 ed2142bd-67ad-457f-ba7c-d818d4011675
Diffstat (limited to 'error_estimator')
-rw-r--r-- | error_estimator/error_estimator.hpp | 17 |
1 files changed, 13 insertions, 4 deletions
diff --git a/error_estimator/error_estimator.hpp b/error_estimator/error_estimator.hpp index 4324cd0..a6c6163 100644 --- a/error_estimator/error_estimator.hpp +++ b/error_estimator/error_estimator.hpp @@ -1,6 +1,7 @@ #ifndef ERROR_EST #define ERROR_EST #include <core/fitter.hpp> +#include <core/freeze_param.hpp> #include <iostream> #include <vector> #include <string> @@ -8,7 +9,7 @@ namespace opt_utilities { template <typename Ty,typename Tx,typename Tp,typename Ts,typename Tstr> - void estimate_error(fitter<Ty,Tx,Tp,Ts>& fit,const Tstr& pname,typename element_type_trait<Tp>::element_type& lower,typename element_type_trait<Tp>::element_type& upper,const Ts& dchi) + void estimate_error(fitter<Ty,Tx,Tp,Ts>& fit,const Tstr& pname,typename element_type_trait<Tp>::element_type& lower,typename element_type_trait<Tp>::element_type& upper,const Ts& dchi,const Ts& precision) { typedef typename element_type_trait<Tp>::element_type Tpe; std::vector<Tstr> pnames; @@ -41,16 +42,24 @@ namespace opt_utilities Tpe current_value= fit.get_param_value(pname); + + if(lower>=current_value||upper<=current_value) + { + std::cerr<<"Error, initial lower and upper limits should be smaller and larger than the best fit value, respectively"<<std::endl; + return; + } + Tp current_params(fit.get_model().get_all_params()); Ts current_chi=fit.get_statistic_value(); Tpe upper1=current_value; Tpe step=upper-current_value; + while(1) { fit.set_param_value(pname,upper); fit.fit(); Ts chi=fit.get_statistic_value(); - cerr<<upper<<"\t"<<chi<<std::endl; + std::cerr<<upper<<"\t"<<chi<<std::endl; if(chi>current_chi+dchi) { break; @@ -59,7 +68,7 @@ namespace opt_utilities } Ts target_chi=current_chi+dchi; - while(upper-upper1>1E-10) + while(upper-upper1>std::abs(precision)) { std::cerr<<upper<<"\t"<<upper1<<std::endl; fit.set_param_value(pname,upper1); @@ -114,7 +123,7 @@ namespace opt_utilities fit.set_param_value(pname,current_value); fit.fit(); - while(lower1-lower>1E-10) + while(lower1-lower>std::abs(precision)) { fit.set_param_value(pname,lower1); fit.fit(); |