AdamsMoulton4.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 __AdamsMoulton4_hpp__
#define __AdamsMoulton4_hpp__
 
 
#include "integration.hpp"
#include "pointFields.hpp"
 
namespace pFlow
{
 
 
class AdamsMoulton4
:
    public integration
{
protected:
 
    realx3PointField_D& y0_;
 
    realx3PointField_D& dy0_;
 
    realx3PointField_D& dy1_;
 
    realx3PointField_D& dy2_;
 
    using rpIntegration = Kokkos::RangePolicy<
            DefaultExecutionSpace,
            Kokkos::Schedule<Kokkos::Static>,
            Kokkos::IndexType<int32>
            >;
public:
 
    // type info
    TypeInfo("AdamsMoulton4");
 
        AdamsMoulton4(
            const word& baseName,
            repository& owner,
            const pointStructure& pStruct,
            const word& method);
 
        virtual ~AdamsMoulton4()=default;
 
        // - add a virtual constructor 
        add_vCtor(
            integration,
            AdamsMoulton4,
            word);
 
 
        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;
        }
 
        uniquePtr<integration> clone()const override
        {
            return makeUnique<AdamsMoulton4>(*this);
        }
 
        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 AdamsMoulton4::predictRange(
    real dt, 
    realx3Vector_D& y,
    realx3Vector_D& dy,
    activeFunctor activeP )
{
    auto d_dy = dy.deviceVectorAll();
    auto d_y  = y.deviceVectorAll();
 
    auto d_y0 = y0_.deviceVectorAll();
    auto d_dy0 = dy0_.deviceVectorAll();
    auto d_dy1 = dy1_.deviceVectorAll();
    auto d_dy2 = dy2_.deviceVectorAll();
    
    auto activeRng = activeP.activeRange();
 
    Kokkos::parallel_for(
        "AdamsMoulton4::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>(23.0 /12.0 ) * d_dy[i] 
                - static_cast<real>(16.0 / 12.0) * d_dy1[i]
                + static_cast<real>( 5.0 / 12.0) * d_dy2[i]);
            }
        });
    Kokkos::fence();
 
    return true;
 
}
 
 
template<typename activeFunctor>
bool pFlow::AdamsMoulton4::intRange(
    real dt, 
    realx3Vector_D& y,
    realx3Vector_D& dy,
    activeFunctor activeP )
{
 
    auto d_dy = dy.deviceVectorAll();
    auto d_y  = y.deviceVectorAll();
 
    auto d_dy0 = dy0_.deviceVectorAll();
    auto d_y0  = y0_.deviceVectorAll();
    auto d_dy1 = dy1_.deviceVectorAll();
    auto d_dy2 = dy2_.deviceVectorAll();
 
    auto activeRng = activeP.activeRange();
 
    Kokkos::parallel_for(
        "AdamsMoulton4::correct",
        rpIntegration (activeRng.first, activeRng.second),
        LAMBDA_HD(int32 i){
            if( activeP(i))
            {
                auto corrct_y = d_y0[i] + dt*(
                      static_cast<real>(9.0/24.0)*d_dy[i] 
                    + static_cast<real>(19.0/24.0)*d_dy0[i] 
                    - static_cast<real>( 5.0/24.0)*d_dy1[i]
                    + static_cast<real>( 1.0/24.0)*d_dy2[i]);
                
                d_dy2[i]= 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 //__integration_hpp__