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authorastrojhgu <astrojhgu@ed2142bd-67ad-457f-ba7c-d818d4011675>2011-01-04 15:20:38 +0000
committerastrojhgu <astrojhgu@ed2142bd-67ad-457f-ba7c-d818d4011675>2011-01-04 15:20:38 +0000
commit1f716fe1c51904cba8464a4c999110554e98e363 (patch)
tree7bdf2dd216ab5ff95bae5455e61269e591239ab4 /error_estimator
parenta620837fc33ef740e95f8092df0cfe7d4222a656 (diff)
downloadopt-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.hpp17
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();