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/* This file is part of the OpenLB library
*
* Copyright (C) 2017 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 BLOCK_LP_NORM_2D_HH
#define BLOCK_LP_NORM_2D_HH
#include "blockLpNorm2D.h"
#include "functors/lattice/indicator/blockIndicatorBaseF2D.h"
#include "geometry/cuboid2D.h"
#include "latticeIntegralCommon.h"
namespace olb {
template <typename T, typename W, int P>
BlockLpNorm2D<T,W,P>::BlockLpNorm2D(BlockF2D<W>& f,
BlockIndicatorF2D<T>& indicatorF)
: BlockF2D<W>(f.getBlockStructure(), f.getTargetDim()),
_f(f),
_indicatorF(indicatorF)
{
OLB_ASSERT(_f.getSourceDim() == _indicatorF.getSourceDim(),
"functor source dimension equals indicator source dimension");
this->getName() = "BlockL" + std::to_string(P) + "Norm(" + _f.getName() + ")";
}
template <typename T, typename W, int P>
bool BlockLpNorm2D<T,W,P>::operator()(W output[], const int input[])
{
const auto& blockGeometry = _indicatorF.getBlockGeometryStructure();
const int nX = blockGeometry.getNx();
const int nY = blockGeometry.getNy();
const T weight = pow(blockGeometry.getDeltaR(), 2);
output[0] = W(0);
W outputTmp[_f.getTargetDim()];
int inputTmp[_f.getSourceDim()];
for (inputTmp[0] = 0; inputTmp[0] < nX; ++inputTmp[0]) {
for (inputTmp[1] = 0; inputTmp[1] < nY; ++inputTmp[1]) {
if (_indicatorF(inputTmp)) {
_f(outputTmp, inputTmp);
for (int iDim = 0; iDim < _f.getTargetDim(); ++iDim) {
output[0] = LpNormImpl<T,W,P>()(output[0], outputTmp[iDim], weight);
}
}
}
}
output[0] = LpNormImpl<T,W,P>().enclose(output[0]);
return true;
}
}
#endif
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