PBiCG.C

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    Copyright (C) 2011-2017 OpenFOAM Foundation
    Copyright (C) 2019-2021 OpenCFD Ltd.
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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.
 
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#include "PBiCG.H"
#include "PrecisionAdaptor.H"
 
// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
 
namespace Foam
{
    defineTypeNameAndDebug(PBiCG, 0);
 
    lduMatrix::solver::addasymMatrixConstructorToTable<PBiCG>
        addPBiCGAsymMatrixConstructorToTable_;
}
 
 
// * * * * * * * * * * * * * * * * Constructors  * * * * * * * * * * * * * * //
 
Foam::PBiCG::PBiCG
(
    const word& fieldName,
    const lduMatrix& matrix,
    const FieldField<Field, scalar>& interfaceBouCoeffs,
    const FieldField<Field, scalar>& interfaceIntCoeffs,
    const lduInterfaceFieldPtrsList& interfaces,
    const dictionary& solverControls
)
:
    lduMatrix::solver
    (
        fieldName,
        matrix,
        interfaceBouCoeffs,
        interfaceIntCoeffs,
        interfaces,
        solverControls
    )
{}
 
 
// * * * * * * * * * * * * * * * Member Functions  * * * * * * * * * * * * * //
 
Foam::solverPerformance Foam::PBiCG::solve
(
    scalarField& psi_s,
    const scalarField& source,
    const direction cmpt
) const
{
    PrecisionAdaptor<solveScalar, scalar> tpsi(psi_s);
    solveScalarField& psi = tpsi.ref();
 
    // --- Setup class containing solver performance data
    solverPerformance solverPerf
    (
        lduMatrix::preconditioner::getName(controlDict_) + typeName,
        fieldName_
    );
 
    const label nCells = psi.size();
 
    solveScalar* __restrict__ psiPtr = psi.begin();
 
    solveScalarField pA(nCells);
    solveScalar* __restrict__ pAPtr = pA.begin();
 
    solveScalarField wA(nCells);
    solveScalar* __restrict__ wAPtr = wA.begin();
 
    // --- Calculate A.psi
    matrix_.Amul(wA, psi, interfaceBouCoeffs_, interfaces_, cmpt);
 
    // --- Calculate initial residual field
    ConstPrecisionAdaptor<solveScalar, scalar> tsource(source);
    solveScalarField rA(tsource() - wA);
    solveScalar* __restrict__ rAPtr = rA.begin();
 
    matrix().setResidualField
    (
        ConstPrecisionAdaptor<scalar, solveScalar>(rA)(),
        fieldName_,
        true
    );
 
    // --- Calculate normalisation factor
    const solveScalar normFactor = this->normFactor(psi, tsource(), wA, pA);
 
    if ((log_ >= 2) || (lduMatrix::debug >= 2))
    {
        Info<< "   Normalisation factor = " << normFactor << endl;
    }
 
    // --- Calculate normalised residual norm
    solverPerf.initialResidual() =
        gSumMag(rA, matrix().mesh().comm())
       /normFactor;
    solverPerf.finalResidual() = solverPerf.initialResidual();
 
    // --- Check convergence, solve if not converged
    if
    (
        minIter_ > 0
     || !solverPerf.checkConvergence(tolerance_, relTol_, log_)
    )
    {
        solveScalarField pT(nCells, 0);
        solveScalar* __restrict__ pTPtr = pT.begin();
 
        solveScalarField wT(nCells);
        solveScalar* __restrict__ wTPtr = wT.begin();
 
        // --- Calculate T.psi
        matrix_.Tmul(wT, psi, interfaceIntCoeffs_, interfaces_, cmpt);
 
        // --- Calculate initial transpose residual field
        solveScalarField rT(tsource() - wT);
        solveScalar* __restrict__ rTPtr = rT.begin();
 
        // --- Initial value not used
        solveScalar wArT = 0;
 
        // --- Select and construct the preconditioner
        autoPtr<lduMatrix::preconditioner> preconPtr =
        lduMatrix::preconditioner::New
        (
            *this,
            controlDict_
        );
 
        // --- Solver iteration
        do
        {
            // --- Store previous wArT
            const solveScalar wArTold = wArT;
 
            // --- Precondition residuals
            preconPtr->precondition(wA, rA, cmpt);
            preconPtr->preconditionT(wT, rT, cmpt);
 
            // --- Update search directions:
            wArT = gSumProd(wA, rT, matrix().mesh().comm());
 
            if (solverPerf.nIterations() == 0)
            {
                for (label cell=0; cell<nCells; cell++)
                {
                    pAPtr[cell] = wAPtr[cell];
                    pTPtr[cell] = wTPtr[cell];
                }
            }
            else
            {
                const solveScalar beta = wArT/wArTold;
 
                for (label cell=0; cell<nCells; cell++)
                {
                    pAPtr[cell] = wAPtr[cell] + beta*pAPtr[cell];
                    pTPtr[cell] = wTPtr[cell] + beta*pTPtr[cell];
                }
            }
 
 
            // --- Update preconditioned residuals
            matrix_.Amul(wA, pA, interfaceBouCoeffs_, interfaces_, cmpt);
            matrix_.Tmul(wT, pT, interfaceIntCoeffs_, interfaces_, cmpt);
 
            const solveScalar wApT = gSumProd(wA, pT, matrix().mesh().comm());
 
            // --- Test for singularity
            if (solverPerf.checkSingularity(mag(wApT)/normFactor))
            {
                break;
            }
 
 
            // --- Update solution and residual:
 
            const solveScalar alpha = wArT/wApT;
 
            for (label cell=0; cell<nCells; cell++)
            {
                psiPtr[cell] += alpha*pAPtr[cell];
                rAPtr[cell] -= alpha*wAPtr[cell];
                rTPtr[cell] -= alpha*wTPtr[cell];
            }
 
            solverPerf.finalResidual() =
                gSumMag(rA, matrix().mesh().comm())
               /normFactor;
        } while
        (
            (
              ++solverPerf.nIterations() < maxIter_
            && !solverPerf.checkConvergence(tolerance_, relTol_, log_)
            )
         || solverPerf.nIterations() < minIter_
        );
    }
 
    // Recommend PBiCGStab if PBiCG fails to converge
    if (solverPerf.nIterations() > max(defaultMaxIter_, maxIter_))
    {
        FatalErrorInFunction
            << "PBiCG has failed to converge within the maximum number"
               " of iterations " << max(defaultMaxIter_, maxIter_) << nl
            << "    Please try the more robust PBiCGStab solver."
            << exit(FatalError);
    }
 
    matrix().setResidualField
    (
        ConstPrecisionAdaptor<scalar, solveScalar>(rA)(),
        fieldName_,
        false
    );
 
    return solverPerf;
}
 
 
// ************************************************************************* //