git-svn-id: file:///home/svn/opt_utilities@56 ed2142bd-67ad-457f-ba7c-d818d4011675

2 files changed, 66 insertions, 2 deletions

diff --git a/example/Makefile b/example/Makefile
index 24fc4f0..dc05276 100644
--- a/example/Makefile
+++ b/example/Makefile
@@ -1,8 +1,13 @@
-target=test_optimizer
+target=test_optimizer test_fitter
+
+all:$(target)
 
 
 test_optimizer:test_optimizer.cpp
-	g++ -o $@ $< -I ../ -O2
+	g++ -o $@ $< -I ../ -O2 -g
+
+test_fitter:test_fitter.cpp
+	g++ -o $@ $< -I ../ -O2 -g
 
 clean:
 	rm -f $(target)
diff --git a/example/test_fitter.cpp b/example/test_fitter.cpp
new file mode 100644
index 0000000..48c4d8c
--- /dev/null
+++ b/example/test_fitter.cpp
@@ -0,0 +1,59 @@
+#include <core/optimizer.hpp>
+#include <methods/powell/powell_method.hpp>
+#include <methods/aga/aga.hpp>
+#include <core/fitter.hpp>
+#include <vector>
+#include <iostream>
+#include <data_sets/default_data_set.hpp>
+#include <statistics/chisq.hpp>
+
+using namespace opt_utilities;
+//declear a class derived from func_obj
+class lin1d
+  :public opt_utilities::model<double,double,std::vector<double>,std::string>
+  {
+  private:
+    model<double,double,std::vector<double> >* do_clone()const
+    {
+      return new lin1d(*this);
+    }
+  public:
+    lin1d()
+    {
+      this->push_param_info(param_info<std::vector<double> >("k",1,-10,10));
+      this->push_param_info(param_info<std::vector<double> >("b",0,-10,10));
+    }
+
+  public:
+    double do_eval(const double& x,const std::vector<double>& param)
+    {
+      return x*get_element(param,0)+get_element(param,1);
+    }
+
+  private:
+    std::string do_to_string()const
+    {
+      return "linear model\n"
+	"y=k*x+b\n";
+    }
+  };
+
+
+int main()
+{
+  fitter<double,double,std::vector<double>,double,std::string> f;
+  f.set_model(lin1d());
+  //f.set_method(powell_method<double,std::vector<double> >());
+  f.set_method(aga_method<double,std::vector<double> >());
+  default_data_set<double,double> ds;
+
+  for(int i=0;i<100;++i)
+    {
+      ds.add_data(data<double,double>(i,i*3+5,.1,.1,0,0));
+    }
+  f.load_data(ds);
+  f.set_statistic(chisq<double,double,std::vector<double>,double,std::string>());
+  f.fit();
+  cout<<f.get_param_value("k")<<endl;
+  cout<<f.get_param_value("b")<<endl;
+}