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LatAnalyze/lib/Numerical/NloptMinimizer.cpp

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/*
* NloptMinimizer.cpp, part of LatAnalyze 3
*
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* Copyright (C) 2013 - 2020 Antonin Portelli
*
* LatAnalyze 3 is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* LatAnalyze 3 is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
*/
#include <LatAnalyze/Numerical/NloptMinimizer.hpp>
#include <LatAnalyze/includes.hpp>
using namespace std;
using namespace Latan;
/******************************************************************************
* NloptMinimizer implementation *
******************************************************************************/
// constructors ////////////////////////////////////////////////////////////////
NloptMinimizer::NloptMinimizer(const Algorithm algorithm)
{
setAlgorithm(algorithm);
der_.setOrder(1, 1);
}
// access //////////////////////////////////////////////////////////////////////
NloptMinimizer::Algorithm NloptMinimizer::getAlgorithm(void) const
{
return algorithm_;
}
void NloptMinimizer::setAlgorithm(const Algorithm algorithm)
{
algorithm_ = algorithm;
}
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bool NloptMinimizer::supportLimits(void) const
{
return true;
}
// minimization ////////////////////////////////////////////////////////////////
const DVec & NloptMinimizer::operator()(const DoubleFunction &f)
{
DVec &x = getState();
// resize minimizer state to match function number of arguments
if (f.getNArg() != x.size())
{
resize(f.getNArg());
}
// create and set minimizer
nlopt::opt min(getAlgorithm(), x.size());
NloptFuncData data;
vector<double> lb(x.size()), hb(x.size());
min.set_maxeval(getMaxIteration());
min.set_xtol_rel(getPrecision());
min.set_ftol_rel(-1.);
der_.setFunction(f);
data.f = &f;
data.d = &der_;
min.set_min_objective(&funcWrapper, &data);
for (Index i = 0; i < x.size(); ++i)
{
lb[i] = hasLowLimit(i) ? getLowLimit(i) : -HUGE_VAL;
hb[i] = hasHighLimit(i) ? getHighLimit(i) : HUGE_VAL;
}
min.set_lower_bounds(lb);
min.set_upper_bounds(hb);
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// minimize
double res;
vector<double> vx(x.size());
nlopt::result status;
unsigned int n = 0;
for (Index i = 0; i < x.size(); ++i)
{
vx[i] = x(i);
}
do
{
if (getVerbosity() >= Verbosity::Normal)
{
cout << "========== NLopt minimization, pass #" << n + 1;
cout << " ==========" << endl;
cout << "Algorithm: " << min.get_algorithm_name() << endl;
cout << "Max eval.= " << min.get_maxeval();
cout << " -- Precision= " << min.get_xtol_rel() << endl;
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printf("Starting f(x)= %.10e\n", f(x));
}
try
{
status = min.optimize(vx, res);
}
catch (invalid_argument &e)
{
LATAN_ERROR(Runtime, "NLopt has reported receving invalid "
"arguments (if you are using a global minimizer, did "
"you specify limits for all variables?)");
}
if (getVerbosity() >= Verbosity::Normal)
{
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printf("Found minimum %.10e at:\n", res);
for (Index i = 0; i < x.size(); ++i)
{
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printf("%8s= %.10e\n", f.varName().getName(i).c_str(), vx[i]);
}
cout << "after " << data.evalCount << " evaluations" << endl;
cout << "Minimization ended with code " << status;
cout << " (" << returnMessage(status) << ")";
cout << endl;
}
data.evalCount = 0;
for (Index i = 0; i < x.size(); ++i)
{
x(i) = vx[i];
}
n++;
} while (!minSuccess(status) and (n < getMaxPass()));
if (getVerbosity() >= Verbosity::Normal)
{
cout << "=================================================" << endl;
}
if (!minSuccess(status))
{
LATAN_WARNING("invalid minimum: " + returnMessage(status));
}
return x;
}
// NLopt return code parser ////////////////////////////////////////////////////
string NloptMinimizer::returnMessage(const nlopt::result status)
{
switch (status)
{
case nlopt::SUCCESS:
return "success";
case nlopt::STOPVAL_REACHED:
return "stopping value reached";
case nlopt::FTOL_REACHED:
return "tolerance on function reached";
case nlopt::XTOL_REACHED:
return "tolerance on variable reached";
case nlopt::MAXEVAL_REACHED:
return "maximum function evaluation reached";
case nlopt::MAXTIME_REACHED:
return "maximum time reached";
default:
return "";
}
}
// NLopt function wrapper //////////////////////////////////////////////////////
double NloptMinimizer::funcWrapper(unsigned int n, const double *arg,
double *grad , void *vdata)
{
NloptFuncData &data = *static_cast<NloptFuncData *>(vdata);
if (grad)
{
for (unsigned int i = 0; i < n; ++i)
{
data.d->setDir(i);
grad[i] = (*(data.d))(arg);
}
data.evalCount += data.d->getNPoint()*n;
}
data.evalCount++;
return (*data.f)(arg);
}
// NLopt return status parser //////////////////////////////////////////////////
bool NloptMinimizer::minSuccess(const nlopt::result status)
{
switch (status)
{
case nlopt::SUCCESS:
case nlopt::FTOL_REACHED:
case nlopt::XTOL_REACHED:
return true;
break;
default:
return false;
break;
}
}