mirror of
https://github.com/aportelli/LatAnalyze.git
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266 lines
7.4 KiB
C++
266 lines
7.4 KiB
C++
/*
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* XYStatData.cpp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2014 Antonin Portelli
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*
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* LatAnalyze 3 is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LatAnalyze 3 is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <LatAnalyze/XYStatData.hpp>
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#include <LatAnalyze/includes.hpp>
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using namespace std;
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using namespace Latan;
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/******************************************************************************
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* FitResult implementation *
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******************************************************************************/
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// access //////////////////////////////////////////////////////////////////////
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double FitResult::getChi2(void) const
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{
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return chi2_;
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}
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double FitResult::getChi2PerDof(void) const
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{
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return chi2_/getNDof();
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}
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double FitResult::getNDof(void) const
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{
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return static_cast<double>(nDof_);
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}
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const DoubleFunction & FitResult::getModel(const Index j) const
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{
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return model_[static_cast<unsigned int>(j)];
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}
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/******************************************************************************
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* XYStatData implementation *
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******************************************************************************/
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// constructor /////////////////////////////////////////////////////////////////
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XYStatData::XYStatData(void)
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: chi2_(*this)
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{}
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XYStatData::XYStatData(const Index nData, const Index xDim, const Index yDim)
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: XYStatData()
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{
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resize(nData, xDim, yDim);
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}
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// access //////////////////////////////////////////////////////////////////////
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void XYStatData::resize(const Index nData, const Index xDim, const Index yDim)
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{
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FitInterface::resize(nData, xDim, yDim);
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x_.resize(nData, xDim);
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y_.resize(nData, yDim);
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var_[xx].resize(xDim, xDim);
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var_[yy].resize(yDim, yDim);
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var_[yx].resize(yDim, xDim);
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FOR_MAT(var_[xx], i1, i2)
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{
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var_[xx](i1, i2).resize(nData, nData);
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}
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FOR_MAT(var_[yy], j1, j2)
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{
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var_[yy](j1, j2).resize(nData, nData);
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}
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FOR_MAT(var_[yx], j, i)
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{
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var_[yx](j, i).resize(nData, nData);
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}
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}
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void XYStatData::reinitChi2(const bool doReinit)
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{
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reinitChi2_ = doReinit;
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}
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Block<MatBase<double>> XYStatData::x(const PlaceHolder ph1 __unused,
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const PlaceHolder ph2 __unused)
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{
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return x_.block(0, 0, getNData(), getXDim());
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}
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ConstBlock<MatBase<double>> XYStatData::x(const PlaceHolder ph1 __unused,
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const PlaceHolder ph2 __unused)
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const
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{
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return x_.block(0, 0, getNData(), getXDim());
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}
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Block<MatBase<double>> XYStatData::x(const Index i,
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const PlaceHolder ph2 __unused)
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{
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return x_.block(0, i, getNData(), 1);
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}
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ConstBlock<MatBase<double>> XYStatData::x(const Index i,
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const PlaceHolder ph2 __unused)
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const
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{
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return x_.block(0, i, getNData(), 1);
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}
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Block<MatBase<double>> XYStatData::x(const PlaceHolder ph1 __unused,
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const Index k)
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{
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return x_.block(k, 0, 1, getXDim());
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}
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ConstBlock<MatBase<double>> XYStatData::x(const PlaceHolder ph1 __unused,
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const Index k) const
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{
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return x_.block(k, 0, 1, getXDim());
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}
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double & XYStatData::x(const Index i, const Index k)
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{
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return x_(k, i);
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}
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const double & XYStatData::x(const Index i, const Index k) const
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{
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return x_(k, i);
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}
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Block<MatBase<double>> XYStatData::y(const PlaceHolder ph1 __unused,
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const PlaceHolder ph2 __unused)
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{
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return y_.block(0, 0, getNData(), getYDim());
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}
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ConstBlock<MatBase<double>> XYStatData::y(const PlaceHolder ph1 __unused,
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const PlaceHolder ph2 __unused)
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const
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{
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return y_.block(0, 0, getNData(), getYDim());
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}
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Block<MatBase<double>> XYStatData::y(const Index j,
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const PlaceHolder ph2 __unused)
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{
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return y_.block(0, j, getNData(), 1);
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}
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ConstBlock<MatBase<double>> XYStatData::y(const Index j,
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const PlaceHolder ph2 __unused)
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const
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{
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return y_.block(0, j, getNData(), 1);
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}
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Block<MatBase<double>> XYStatData::y(const PlaceHolder ph1 __unused, const Index k)
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{
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return y_.block(k, 0, 1, getYDim());
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}
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ConstBlock<MatBase<double>> XYStatData::y(const PlaceHolder ph1 __unused,
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const Index k) const
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{
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return y_.block(k, 0, 1, getYDim());
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}
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double & XYStatData::y(const Index j, const Index k)
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{
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return y_(k, j);
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}
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const double & XYStatData::y(const Index j, const Index k) const
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{
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return y_(k, j);
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}
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#define FULL_BLOCK(m) (m).block(0, 0, (m).rows(), (m).cols())
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Block<MatBase<double>> XYStatData::xxVar(const Index i1, const Index i2)
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{
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return FULL_BLOCK(var_[xx](i1, i2));
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}
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ConstBlock<MatBase<double>> XYStatData::xxVar(const Index i1,
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const Index i2) const
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{
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return FULL_BLOCK(var_[xx](i1, i2));
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}
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Block<MatBase<double>> XYStatData::yyVar(const Index j1, const Index j2)
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{
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return FULL_BLOCK(var_[yy](j1, j2));
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}
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ConstBlock<MatBase<double>> XYStatData::yyVar(const Index j1,
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const Index j2) const
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{
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return FULL_BLOCK(var_[yy](j1, j2));
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}
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Block<MatBase<double>> XYStatData::yxVar(const Index j, const Index i)
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{
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return FULL_BLOCK(var_[yx](j, i));
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}
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ConstBlock<MatBase<double>> XYStatData::yxVar(const Index j,
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const Index i) const
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{
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return FULL_BLOCK(var_[yx](j, i));
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}
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// fit /////////////////////////////////////////////////////////////////////////
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FitResult XYStatData::fit(Minimizer &minimizer, const DVec &init,
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const vector<const DoubleModel *> &modelVector)
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{
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// initialization
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chi2_.setModel(modelVector);
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if (reinitChi2_)
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{
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chi2_.requestInit();
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}
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// initial parameters
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const Index nPoint = getNFitPoint();
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DVec fullInit = init;
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Index is = 0, kf = 0;
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fullInit.conservativeResize(chi2_.getNArg());
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for (Index i = 0; i < getXDim(); ++i)
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if (!isXExact(i))
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{
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for (Index k = 0; k < getNData(); ++k)
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if (isFitPoint(k))
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{
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fullInit(chi2_.getNPar() + nPoint*is + kf) = x(i, k);
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kf++;
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}
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is++;
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}
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minimizer.setInit(fullInit);
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// fit
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DoubleFunction chi2 = chi2_.makeFunction(false);
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FitResult result;
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result = minimizer(chi2);
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result.chi2_ = chi2(result);
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result.nDof_ = chi2_.getNDof();
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result.model_.resize(modelVector.size());
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for (unsigned int j = 0; j < modelVector.size(); ++j)
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{
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result.model_[j] = modelVector[j]->fixPar(result);
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}
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return result;
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}
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