pairGAMGAgglomerate.C

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  =========                 |
  \\      /  F ield         | OpenFOAM: The Open Source CFD Toolbox
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    \\  /    A nd           | Copyright (C) 2011-2018 OpenFOAM Foundation
     \\/     M anipulation  |
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License
    This file is part of OpenFOAM.
 
    OpenFOAM 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.
 
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    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
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#include "pairGAMGAgglomeration.H"
#include "lduAddressing.H"
 
// * * * * * * * * * * * * * Protected Member Functions  * * * * * * * * * * //
 
void Foam::pairGAMGAgglomeration::agglomerate
(
    const lduMesh& mesh,
    const scalarField& faceWeights
)
{
    // Start geometric agglomeration from the given faceWeights
    scalarField* faceWeightsPtr = const_cast<scalarField*>(&faceWeights);
 
    // Agglomerate until the required number of cells in the coarsest level
    // is reached
 
    label nPairLevels = 0;
    label nCreatedLevels = 0;
 
    while (nCreatedLevels < maxLevels_ - 1)
    {
        label nCoarseCells = -1;
 
        tmp<labelField> finalAgglomPtr = agglomerate
        (
            nCoarseCells,
            meshLevel(nCreatedLevels).lduAddr(),
            *faceWeightsPtr
        );
 
        if (continueAgglomerating(finalAgglomPtr().size(), nCoarseCells))
        {
            nCells_[nCreatedLevels] = nCoarseCells;
            restrictAddressing_.set(nCreatedLevels, finalAgglomPtr);
        }
        else
        {
            break;
        }
 
        agglomerateLduAddressing(nCreatedLevels);
 
        // Agglomerate the faceWeights field for the next level
        {
            scalarField* aggFaceWeightsPtr
            (
                new scalarField
                (
                    meshLevels_[nCreatedLevels].upperAddr().size(),
                    0.0
                )
            );
 
            restrictFaceField
            (
                *aggFaceWeightsPtr,
                *faceWeightsPtr,
                nCreatedLevels
            );
 
            if (nCreatedLevels)
            {
                delete faceWeightsPtr;
            }
 
            faceWeightsPtr = aggFaceWeightsPtr;
        }
 
        if (nPairLevels % mergeLevels_)
        {
            combineLevels(nCreatedLevels);
        }
        else
        {
            nCreatedLevels++;
        }
 
        nPairLevels++;
    }
 
    // Shrink the storage of the levels to those created
    compactLevels(nCreatedLevels);
 
    // Delete temporary geometry storage
    if (nCreatedLevels)
    {
        delete faceWeightsPtr;
    }
}
 
 
// * * * * * * * * * * * * * * * Member Functions  * * * * * * * * * * * * * //
 
Foam::tmp<Foam::labelField> Foam::pairGAMGAgglomeration::agglomerate
(
    label& nCoarseCells,
    const lduAddressing& fineMatrixAddressing,
    const scalarField& faceWeights
)
{
    const label nFineCells = fineMatrixAddressing.size();
 
    const labelUList& upperAddr = fineMatrixAddressing.upperAddr();
    const labelUList& lowerAddr = fineMatrixAddressing.lowerAddr();
 
    // For each cell calculate faces
    labelList cellFaces(upperAddr.size() + lowerAddr.size());
    labelList cellFaceOffsets(nFineCells + 1);
 
    // memory management
    {
        labelList nNbrs(nFineCells, 0);
 
        forAll(upperAddr, facei)
        {
            nNbrs[upperAddr[facei]]++;
        }
 
        forAll(lowerAddr, facei)
        {
            nNbrs[lowerAddr[facei]]++;
        }
 
        cellFaceOffsets[0] = 0;
        forAll(nNbrs, celli)
        {
            cellFaceOffsets[celli+1] = cellFaceOffsets[celli] + nNbrs[celli];
        }
 
        // reset the whole list to use as counter
        nNbrs = 0;
 
        forAll(upperAddr, facei)
        {
            cellFaces
            [
                cellFaceOffsets[upperAddr[facei]] + nNbrs[upperAddr[facei]]
            ] = facei;
 
            nNbrs[upperAddr[facei]]++;
        }
 
        forAll(lowerAddr, facei)
        {
            cellFaces
            [
                cellFaceOffsets[lowerAddr[facei]] + nNbrs[lowerAddr[facei]]
            ] = facei;
 
            nNbrs[lowerAddr[facei]]++;
        }
    }
 
 
    // go through the faces and create clusters
 
    tmp<labelField> tcoarseCellMap(new labelField(nFineCells, -1));
    labelField& coarseCellMap = tcoarseCellMap.ref();
 
    nCoarseCells = 0;
    label celli;
 
    for (label cellfi=0; cellfi<nFineCells; cellfi++)
    {
        // Change cell ordering depending on direction for this level
        celli = forward_ ? cellfi : nFineCells - cellfi - 1;
 
        if (coarseCellMap[celli] < 0)
        {
            label matchFaceNo = -1;
            scalar maxFaceWeight = -great;
 
            // check faces to find ungrouped neighbour with largest face weight
            for
            (
                label faceOs=cellFaceOffsets[celli];
                faceOs<cellFaceOffsets[celli+1];
                faceOs++
            )
            {
                label facei = cellFaces[faceOs];
 
                // I don't know whether the current cell is owner or neighbour.
                // Therefore I'll check both sides
                if
                (
                    coarseCellMap[upperAddr[facei]] < 0
                 && coarseCellMap[lowerAddr[facei]] < 0
                 && faceWeights[facei] > maxFaceWeight
                )
                {
                    // Match found. Pick up all the necessary data
                    matchFaceNo = facei;
                    maxFaceWeight = faceWeights[facei];
                }
            }
 
            if (matchFaceNo >= 0)
            {
                // Make a new group
                coarseCellMap[upperAddr[matchFaceNo]] = nCoarseCells;
                coarseCellMap[lowerAddr[matchFaceNo]] = nCoarseCells;
                nCoarseCells++;
            }
            else
            {
                // No match. Find the best neighbouring cluster and
                // put the cell there
                label clusterMatchFaceNo = -1;
                scalar clusterMaxFaceCoeff = -great;
 
                for
                (
                    label faceOs=cellFaceOffsets[celli];
                    faceOs<cellFaceOffsets[celli+1];
                    faceOs++
                )
                {
                    label facei = cellFaces[faceOs];
 
                    if (faceWeights[facei] > clusterMaxFaceCoeff)
                    {
                        clusterMatchFaceNo = facei;
                        clusterMaxFaceCoeff = faceWeights[facei];
                    }
                }
 
                if (clusterMatchFaceNo >= 0)
                {
                    // Add the cell to the best cluster
                    coarseCellMap[celli] = max
                    (
                        coarseCellMap[upperAddr[clusterMatchFaceNo]],
                        coarseCellMap[lowerAddr[clusterMatchFaceNo]]
                    );
                }
            }
        }
    }
 
    // Check that all cells are part of clusters,
    // if not create single-cell "clusters" for each
    for (label cellfi=0; cellfi<nFineCells; cellfi++)
    {
        // Change cell ordering depending on direction for this level
        celli = forward_ ? cellfi : nFineCells - cellfi - 1;
 
        if (coarseCellMap[celli] < 0)
        {
            coarseCellMap[celli] = nCoarseCells;
            nCoarseCells++;
        }
    }
 
    if (!forward_)
    {
        nCoarseCells--;
 
        forAll(coarseCellMap, celli)
        {
            coarseCellMap[celli] = nCoarseCells - coarseCellMap[celli];
        }
 
        nCoarseCells++;
    }
 
    // Reverse the map ordering for the next level
    // to improve the next level of agglomeration
    forward_ = !forward_;
 
    return tcoarseCellMap;
}
 
 
// ************************************************************************* //