AdamsMoulton3.hpp

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/*------------------------------- phasicFlow ---------------------------------
      O        C enter of
     O O       E ngineering and
    O   O      M ultiscale modeling of
   OOOOOOO     F luid flow       
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Licence:
  This file is part of phasicFlow code. It is a free software for simulating 
  granular and multiphase flows. You can redistribute it and/or modify it under
  the terms of GNU General Public License v3 or any other later versions. 
 
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#ifndef __AdamsMoulton3_hpp__
#define __AdamsMoulton3_hpp__
 
 
#include "integration.hpp"
#include "pointFields.hpp"
 
namespace pFlow
{
 
class AdamsMoulton3
:
    public integration
{
protected:
 
    realx3PointField_D& y0_;
 
    realx3PointField_D& dy0_;
 
    realx3PointField_D& dy1_;
 
    using rpIntegration = Kokkos::RangePolicy<
            DefaultExecutionSpace,
            Kokkos::Schedule<Kokkos::Static>,
            Kokkos::IndexType<int32>
            >;
public:
 
    TypeInfo("AdamsMoulton3");
 
    // - Constructors
 
        AdamsMoulton3(
            const word& baseName,
            repository& owner,
            const pointStructure& pStruct,
            const word& method);
 
        uniquePtr<integration> clone()const override
        {
            return makeUnique<AdamsMoulton3>(*this);
        }
 
        virtual ~AdamsMoulton3()=default;
 
        add_vCtor(
            integration,
            AdamsMoulton3,
            word);
 
 
    // - Methods
 
        bool predict(
            real dt, 
            realx3Vector_D& y, 
            realx3Vector_D& dy) override;
 
        bool correct(
            real dt, 
            realx3Vector_D& y, 
            realx3Vector_D& dy) override;
 
        bool setInitialVals(
            const int32IndexContainer& newIndices,
            const realx3Vector& y) override;
 
        bool needSetInitialVals()const override
        {
            return true;
        }
 
        bool predictAll(
            real dt, 
            realx3Vector_D& y, 
            realx3Vector_D& dy, 
            range activeRng);
 
        template<typename activeFunctor>
        bool predictRange(
            real dt, 
            realx3Vector_D& y, 
            realx3Vector_D& dy, 
            activeFunctor activeP);
 
        bool intAll(
            real dt, 
            realx3Vector_D& y, 
            realx3Vector_D& dy, 
            range activeRng);
 
        template<typename activeFunctor>
        bool intRange(
            real dt, 
            realx3Vector_D& y, 
            realx3Vector_D& dy, 
            activeFunctor activeP);
 
};
 
 
template<typename activeFunctor>
bool AdamsMoulton3::predictRange(
    real dt, 
    realx3Vector_D& y,
    realx3Vector_D& dy,
    activeFunctor activeP)
{
    auto d_dy = dy.deviceViewAll();
    auto d_y  = y.deviceViewAll();
    auto d_y0 = y0_.deviceViewAll();
    auto d_dy0 = dy0_.deviceViewAll();
    auto d_dy1= dy1_.deviceViewAll();
    
    auto activeRng = activeP.activeRange();
 
    Kokkos::parallel_for(
        "AdamsMoulton3::predictRange",
        rpIntegration (activeRng.first, activeRng.second),
        LAMBDA_HD(int32 i){
            if(activeP(i))
            {
                d_dy0[i] = d_dy[i];
                d_y[i] = d_y0[i] + 
                dt*
                (
                    static_cast<real>(3.0 / 2.0) * d_dy[i] 
                    - static_cast<real>(1.0 / 2.0) * d_dy1[i]
                );
            }
        });
    Kokkos::fence();
 
    return true;
 
}
 
 
template<typename activeFunctor>
bool pFlow::AdamsMoulton3::intRange(
    real dt, 
    realx3Vector_D& y,
    realx3Vector_D& dy,
    activeFunctor activeP)
{
 
    auto d_dy = dy.deviceViewAll();
    auto d_y  = y.deviceViewAll();
 
    auto d_dy0 = dy0_.deviceViewAll();
    auto d_y0  = y0_.deviceViewAll();
    auto d_dy1 = dy1_.deviceViewAll();
 
    auto activeRng = activeP.activeRange();
 
    Kokkos::parallel_for(
        "AdamsMoulton3::correct",
        rpIntegration (activeRng.first, activeRng.second),
        LAMBDA_HD(int32 i){
            if( activeP(i))
            {
                auto corrct_y = d_y0[i] + dt*(
                      static_cast<real>(5.0/12.0)*d_dy[i] 
                    + static_cast<real>(8.0/12.0)*d_dy0[i] 
                    - static_cast<real>(1.0/12.0)*d_dy1[i]);
                d_dy1[i]= d_dy0[i];
                d_y0[i] = corrct_y;
                d_y[i]  = corrct_y;
            }
        });
    Kokkos::fence();
 
 
    return true;
}
 
} // pFlow
 
#endif //