mirror of
https://github.com/aportelli/LatAnalyze.git
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185 lines
5.3 KiB
C++
185 lines
5.3 KiB
C++
/*
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* MinuitMinimizer.cpp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2020 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/Numerical/MinuitMinimizer.hpp>
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#include <LatAnalyze/includes.hpp>
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#include <Minuit2/Minuit2Minimizer.h>
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#include <Math/Functor.h>
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using namespace std;
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using namespace Latan;
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static constexpr double initErr = 0.1;
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/******************************************************************************
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* MinuitMinimizer implementation *
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******************************************************************************/
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// constructors ////////////////////////////////////////////////////////////////
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MinuitMinimizer::MinuitMinimizer(const Algorithm algorithm)
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{
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setAlgorithm(algorithm);
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}
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// access //////////////////////////////////////////////////////////////////////
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MinuitMinimizer::Algorithm MinuitMinimizer::getAlgorithm(void) const
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{
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return algorithm_;
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}
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void MinuitMinimizer::setAlgorithm(const Algorithm algorithm)
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{
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algorithm_ = algorithm;
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}
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bool MinuitMinimizer::supportLimits(void) const
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{
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return true;
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}
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// minimization ////////////////////////////////////////////////////////////////
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const DVec & MinuitMinimizer::operator()(const DoubleFunction &f)
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{
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using namespace ROOT;
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using namespace Minuit2;
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DVec &x = getState();
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int printLevel = 0;
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EMinimizerType minuitAlg = kCombined;
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double prec = getPrecision();
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// convert Latan parameters to Minuit parameters
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switch (getVerbosity())
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{
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case Verbosity::Silent:
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printLevel = 0;
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break;
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case Verbosity::Normal:
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printLevel = 2;
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break;
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case Verbosity::Debug:
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printLevel = 3;
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break;
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}
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// The factor of 0.002 here is to compensate the dirty hack in Minuit
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// source used to match the C++ and F77 versions
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// (cf. VariableMetricBuilder.cxx)
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switch (getAlgorithm())
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{
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case Algorithm::migrad:
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minuitAlg = kMigrad;
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prec /= 0.002;
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break;
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case Algorithm::simplex:
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minuitAlg = kSimplex;
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break;
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case Algorithm::combined:
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minuitAlg = kCombined;
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prec /= 0.002;
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break;
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}
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// resize minimizer state to match function number of arguments
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if (f.getNArg() != x.size())
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{
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resize(f.getNArg());
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}
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// create and set minimizer
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Minuit2Minimizer min(minuitAlg);
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min.SetStrategy(2);
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min.SetMaxFunctionCalls(getMaxIteration());
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min.SetTolerance(prec);
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min.SetPrintLevel(printLevel);
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// set function and variables
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Math::Functor minuitF(f, x.size());
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string name;
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double val, step;
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min.SetFunction(minuitF);
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for (Index i = 0; i < x.size(); ++i)
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{
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name = f.varName().getName(i);
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val = x(i);
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step = (fabs(x(i)) != 0.) ? initErr*fabs(x(i)) : 1.;
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if (hasHighLimit(i) and !hasLowLimit(i))
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{
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min.SetUpperLimitedVariable(i, name, val, step, getHighLimit(i));
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}
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else if (!hasHighLimit(i) and hasLowLimit(i))
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{
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min.SetLowerLimitedVariable(i, name, val, step, getLowLimit(i));
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}
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else if (hasHighLimit(i) and hasLowLimit(i))
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{
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min.SetLimitedVariable(i, name, val, step, getLowLimit(i),
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getHighLimit(i));
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}
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else
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{
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min.SetVariable(i, name, val, step);
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}
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}
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// minimize
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int status;
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unsigned int n = 0;
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do
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{
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if (getVerbosity() >= Verbosity::Normal)
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{
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cout << "========== Minuit minimization, pass #" << n + 1;
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cout << " =========" << endl;
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}
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min.Minimize();
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status = min.Status();
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n++;
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} while ((status >= 2) and (n < getMaxPass()));
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if (getVerbosity() >= Verbosity::Normal)
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{
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cout << "=================================================" << endl;
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}
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switch (status)
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{
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case 1:
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// covariance matrix was made positive, the minimum is still good
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// it just means that Minuit error analysis is inaccurate
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break;
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case 2:
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LATAN_WARNING("invalid minimum: Hesse analysis is not valid");
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break;
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case 3:
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LATAN_WARNING("invalid minimum: requested precision not reached");
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break;
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case 4:
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LATAN_WARNING("invalid minimum: iteration limit reached");
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break;
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}
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// save and return result
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for (Index i = 0; i < x.size(); ++i)
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{
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x(i) = min.X()[i];
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}
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return x;
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}
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