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/* This file is part of the OpenLB library
*
* Copyright (C) 2018 Adrian Kummerlaender
* E-mail contact: info@openlb.net
* The most recent release of OpenLB can be downloaded at
* <http://www.openlb.net/>
*
* This program 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 2
* of the License, or (at your option) any later version.
*
* This program 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 this program; if not, write to the Free
* Software Foundation, Inc., 51 Franklin Street, Fifth Floor,
* Boston, MA 02110-1301, USA.
*/
#ifndef SUPER_LOCAL_AVERAGE_2D_HH
#define SUPER_LOCAL_AVERAGE_2D_HH
#include "superLocalAverage2D.h"
#include "blockLocalAverage2D.h"
#include "indicator/superIndicatorF2D.h"
namespace olb {
template<typename T, typename W>
SuperLocalAverage2D<T,W>::SuperLocalAverage2D(
FunctorPtr<SuperF2D<T>>&& f,
FunctorPtr<SuperIndicatorF2D<T>>&& indicatorF,
T radius)
: SuperF2D<T,W>(f->getSuperStructure(), f->getTargetDim()),
_f(std::move(f)),
_indicatorF(std::move(indicatorF)),
_radius(radius)
{
this->getName() = "LocalAverage(" + _f->getName() + ")";
LoadBalancer<T>& load = _f->getSuperStructure().getLoadBalancer();
if ( _f->getBlockFSize() == load.size() &&
_indicatorF->getBlockFSize() == load.size() ) {
for (int iC = 0; iC < load.size(); ++iC) {
this->_blockF.emplace_back(
new BlockLocalAverage2D<T,W>(_f->getBlockF(iC),
_indicatorF->getBlockIndicatorF(iC),
_radius)
);
}
}
}
template<typename T, typename W>
bool SuperLocalAverage2D<T,W>::operator() (W output[], const int input[])
{
const auto& geometry = this->getSuperStructure().getCuboidGeometry();
const auto& load = this->getSuperStructure().getLoadBalancer();
for (int i = 0; i < this->getTargetDim(); ++i) {
output[i] = 0.;
}
if (!_indicatorF(input)) {
return true;
}
T centerOfCircle[2];
geometry.getPhysR(centerOfCircle, input);
IndicatorCircle2D<T> analyticalCircle(centerOfCircle, _radius);
SuperIndicatorFfromIndicatorF2D<T> latticeCircle(
analyticalCircle,
_indicatorF->getSuperGeometry());
std::size_t voxels(0);
int inputTmp[3];
for (int iC = 0; iC < load.size(); ++iC) {
inputTmp[0] = load.glob(iC);
const auto& cuboid = geometry.get(inputTmp[0]);
for (inputTmp[1] = 0; inputTmp[1] < cuboid.getNx(); ++inputTmp[1]) {
for (inputTmp[2] = 0; inputTmp[2] < cuboid.getNy(); ++inputTmp[2]) {
if (latticeCircle(inputTmp) && _indicatorF(inputTmp)) {
T outputTmp[_f->getTargetDim()];
_f(outputTmp, inputTmp);
for (int i = 0; i < this->getTargetDim(); ++i) {
output[i] += outputTmp[i];
}
voxels += 1;
}
}
}
}
#ifdef PARALLEL_MODE_MPI
singleton::mpi().reduceAndBcast(voxels, MPI_SUM);
#endif
if (voxels > 0) {
for (int i = 0; i < this->getTargetDim(); ++i) {
#ifdef PARALLEL_MODE_MPI
singleton::mpi().reduceAndBcast(output[i], MPI_SUM);
#endif
output[i] /= voxels;
}
}
return true;
}
}
#endif
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