2014-03-03 12:41:48 +00:00
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#include <iostream>
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#include <cmath>
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#include <latan/MinuitMinimizer.hpp>
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#include <latan/Plot.hpp>
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#include <latan/RandGen.hpp>
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#include <latan/XYStatData.hpp>
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using namespace std;
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using namespace Latan;
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const Index nPoint = 20;
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const double exactPar[2] = {0.5,5.0}, dx = 10.0/static_cast<double>(nPoint);
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int main(void)
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{
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// generate fake data
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XYStatData data(nPoint, 1, 1);
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RandGen rg;
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double x_k;
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auto f = [](const double x[1], const double p[2])
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{return p[1]*exp(-x[0]*p[0]);};
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for (Index k = 0; k < nPoint; ++k)
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{
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2014-03-03 18:57:53 +00:00
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x_k = k*dx;
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data.x(0, k) = x_k;
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data.y(0, k) = f(&x_k, exactPar) + rg.gaussian(0.0, 0.1);
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2014-03-03 12:41:48 +00:00
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}
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data.yyVar(0, 0).diagonal() = DMat::Constant(nPoint, 1, 0.1*0.1);
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data.assumeXExact(0);
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// fit
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DVec init = DVec::Constant(2, 0.5);
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DoubleModel model(1, 2, f);
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FitResult p;
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MinuitMinimizer minimizer;
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data.fitAllPoints();
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2014-03-03 18:33:53 +00:00
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p = data.fit(model, minimizer, init, true, Minimizer::Verbosity::Normal);
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2014-03-03 12:41:48 +00:00
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cout << "a= " << p(0) << " b= " << p(1)
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<< " chi^2/ndof= " << p.getChi2PerDof() << endl;
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2014-03-03 18:33:53 +00:00
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2014-03-03 12:41:48 +00:00
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// plot result
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Plot plot;
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plot << LogScale(Axis::y) << PlotData(data);
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2014-03-03 18:33:53 +00:00
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plot << Color("rgb 'blue'") << PlotFunction(p.getModel(), 0.0, 10.0);
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2014-03-03 12:41:48 +00:00
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plot.display();
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return EXIT_SUCCESS;
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}
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