PyrExp.cpp

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///////////////////////////////////////////////////////////////////////////////
//
// File: PyrExp.cpp
//
// For more information, please see: http://www.nektar.info
//
// The MIT License
//
// Copyright (c) 2006 Division of Applied Mathematics, Brown University (USA),
// Department of Aeronautics, Imperial College London (UK), and Scientific
// Computing and Imaging Institute, University of Utah (USA).
//
// Permission is hereby granted, free of charge, to any person obtaining a
// copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
// THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
// DEALINGS IN THE SOFTWARE.
//
// Description:  PyrExp routines
//
///////////////////////////////////////////////////////////////////////////////
 
#include <LibUtilities/Foundations/Interp.h>
#include <LocalRegions/PyrExp.h>
 
using namespace std;
 
namespace Nektar::LocalRegions
{
 
PyrExp::PyrExp(const LibUtilities::BasisKey &Ba,
               const LibUtilities::BasisKey &Bb,
               const LibUtilities::BasisKey &Bc,
               SpatialDomains::Geometry3D *geom)
    : StdExpansion(LibUtilities::StdPyrData::getNumberOfCoefficients(
                       Ba.GetNumModes(), Bb.GetNumModes(), Bc.GetNumModes()),
                   3, Ba, Bb, Bc),
      StdExpansion3D(LibUtilities::StdPyrData::getNumberOfCoefficients(
                         Ba.GetNumModes(), Bb.GetNumModes(), Bc.GetNumModes()),
                     Ba, Bb, Bc),
      StdPyrExp(Ba, Bb, Bc), Expansion(geom), Expansion3D(geom),
      m_matrixManager(
          std::bind(&Expansion3D::CreateMatrix, this, std::placeholders::_1),
          std::string("PyrExpMatrix")),
      m_staticCondMatrixManager(std::bind(&Expansion::CreateStaticCondMatrix,
                                          this, std::placeholders::_1),
                                std::string("PyrExpStaticCondMatrix"))
{
}
 
PyrExp::PyrExp(const PyrExp &T)
    : StdExpansion(T), StdExpansion3D(T), StdPyrExp(T), Expansion(T),
      Expansion3D(T), m_matrixManager(T.m_matrixManager),
      m_staticCondMatrixManager(T.m_staticCondMatrixManager)
{
}
 
//----------------------------
// Integration Methods
//----------------------------
 
/**
 * \brief Integrate the physical point list \a inarray over pyramidic
 * region and return the value.
 *
 * Inputs:\n
 *
 * - \a inarray: definition of function to be returned at quadrature
 * point of expansion.
 *
 * Outputs:\n
 *
 * - returns \f$\int^1_{-1}\int^1_{-1}\int^1_{-1} u(\bar \eta_1,
 * \eta_2, \eta_3) J[i,j,k] d \bar \eta_1 d \eta_2 d \eta_3\f$ \n \f$=
 * \sum_{i=0}^{Q_1 - 1} \sum_{j=0}^{Q_2 - 1} \sum_{k=0}^{Q_3 - 1}
 * u(\bar \eta_{1i}^{0,0}, \eta_{2j}^{0,0},\eta_{3k}^{2,0})w_{i}^{0,0}
 * w_{j}^{0,0} \hat w_{k}^{2,0} \f$ \n where \f$inarray[i,j, k] =
 * u(\bar \eta_{1i},\eta_{2j}, \eta_{3k}) \f$, \n \f$\hat w_{k}^{2,0}
 * = \frac {w^{2,0}} {2} \f$ \n and \f$ J[i,j,k] \f$ is the Jacobian
 * evaluated at the quadrature point.
 */
NekDouble PyrExp::v_Integral(const Array<OneD, const NekDouble> &inarray)
{
    int nquad0                       = m_base[0]->GetNumPoints();
    int nquad1                       = m_base[1]->GetNumPoints();
    int nquad2                       = m_base[2]->GetNumPoints();
    Array<OneD, const NekDouble> jac = m_metricinfo->GetJac(GetPointsKeys());
    Array<OneD, NekDouble> tmp(nquad0 * nquad1 * nquad2);
 
    // multiply inarray with Jacobian
    if (m_metricinfo->GetGtype() == SpatialDomains::eDeformed)
    {
        Vmath::Vmul(nquad0 * nquad1 * nquad2, &jac[0], 1,
                    (NekDouble *)&inarray[0], 1, &tmp[0], 1);
    }
    else
    {
        Vmath::Smul(nquad0 * nquad1 * nquad2, (NekDouble)jac[0],
                    (NekDouble *)&inarray[0], 1, &tmp[0], 1);
    }
 
    // call StdPyrExp version;
    return StdPyrExp::v_Integral(tmp);
}
 
//----------------------------
// Differentiation Methods
//----------------------------
 
void PyrExp::v_PhysDeriv(const Array<OneD, const NekDouble> &inarray,
                         Array<OneD, NekDouble> &out_d0,
                         Array<OneD, NekDouble> &out_d1,
                         Array<OneD, NekDouble> &out_d2)
{
    int nquad0 = m_base[0]->GetNumPoints();
    int nquad1 = m_base[1]->GetNumPoints();
    int nquad2 = m_base[2]->GetNumPoints();
    Array<TwoD, const NekDouble> gmat =
        m_metricinfo->GetDerivFactors(GetPointsKeys());
    Array<OneD, NekDouble> diff0(nquad0 * nquad1 * nquad2);
    Array<OneD, NekDouble> diff1(nquad0 * nquad1 * nquad2);
    Array<OneD, NekDouble> diff2(nquad0 * nquad1 * nquad2);
 
    StdPyrExp::v_PhysDeriv(inarray, diff0, diff1, diff2);
 
    if (m_metricinfo->GetGtype() == SpatialDomains::eDeformed)
    {
        if (out_d0.size())
        {
            Vmath::Vmul(nquad0 * nquad1 * nquad2, &gmat[0][0], 1, &diff0[0], 1,
                        &out_d0[0], 1);
            Vmath::Vvtvp(nquad0 * nquad1 * nquad2, &gmat[1][0], 1, &diff1[0], 1,
                         &out_d0[0], 1, &out_d0[0], 1);
            Vmath::Vvtvp(nquad0 * nquad1 * nquad2, &gmat[2][0], 1, &diff2[0], 1,
                         &out_d0[0], 1, &out_d0[0], 1);
        }
 
        if (out_d1.size())
        {
            Vmath::Vmul(nquad0 * nquad1 * nquad2, &gmat[3][0], 1, &diff0[0], 1,
                        &out_d1[0], 1);
            Vmath::Vvtvp(nquad0 * nquad1 * nquad2, &gmat[4][0], 1, &diff1[0], 1,
                         &out_d1[0], 1, &out_d1[0], 1);
            Vmath::Vvtvp(nquad0 * nquad1 * nquad2, &gmat[5][0], 1, &diff2[0], 1,
                         &out_d1[0], 1, &out_d1[0], 1);
        }
 
        if (out_d2.size())
        {
            Vmath::Vmul(nquad0 * nquad1 * nquad2, &gmat[6][0], 1, &diff0[0], 1,
                        &out_d2[0], 1);
            Vmath::Vvtvp(nquad0 * nquad1 * nquad2, &gmat[7][0], 1, &diff1[0], 1,
                         &out_d2[0], 1, &out_d2[0], 1);
            Vmath::Vvtvp(nquad0 * nquad1 * nquad2, &gmat[8][0], 1, &diff2[0], 1,
                         &out_d2[0], 1, &out_d2[0], 1);
        }
    }
    else // regular geometry
    {
        if (out_d0.size())
        {
            Vmath::Smul(nquad0 * nquad1 * nquad2, gmat[0][0], &diff0[0], 1,
                        &out_d0[0], 1);
            Blas::Daxpy(nquad0 * nquad1 * nquad2, gmat[1][0], &diff1[0], 1,
                        &out_d0[0], 1);
            Blas::Daxpy(nquad0 * nquad1 * nquad2, gmat[2][0], &diff2[0], 1,
                        &out_d0[0], 1);
        }
 
        if (out_d1.size())
        {
            Vmath::Smul(nquad0 * nquad1 * nquad2, gmat[3][0], &diff0[0], 1,
                        &out_d1[0], 1);
            Blas::Daxpy(nquad0 * nquad1 * nquad2, gmat[4][0], &diff1[0], 1,
                        &out_d1[0], 1);
            Blas::Daxpy(nquad0 * nquad1 * nquad2, gmat[5][0], &diff2[0], 1,
                        &out_d1[0], 1);
        }
 
        if (out_d2.size())
        {
            Vmath::Smul(nquad0 * nquad1 * nquad2, gmat[6][0], &diff0[0], 1,
                        &out_d2[0], 1);
            Blas::Daxpy(nquad0 * nquad1 * nquad2, gmat[7][0], &diff1[0], 1,
                        &out_d2[0], 1);
            Blas::Daxpy(nquad0 * nquad1 * nquad2, gmat[8][0], &diff2[0], 1,
                        &out_d2[0], 1);
        }
    }
}
 
//---------------------------------------
// Transforms
//---------------------------------------
 
/**
 * \brief Forward transform from physical quadrature space stored in
 * \a inarray and evaluate the expansion coefficients and store in \a
 * (this)->m_coeffs
 *
 * Inputs:\n
 *
 * - \a inarray: array of physical quadrature points to be transformed
 *
 * Outputs:\n
 *
 * - (this)->_coeffs: updated array of expansion coefficients.
 */
void PyrExp::v_FwdTrans(const Array<OneD, const NekDouble> &inarray,
                        Array<OneD, NekDouble> &outarray)
{
    if (m_base[0]->Collocation() && m_base[1]->Collocation() &&
        m_base[2]->Collocation())
    {
        Vmath::Vcopy(GetNcoeffs(), &inarray[0], 1, &outarray[0], 1);
    }
    else
    {
        v_IProductWRTBase(inarray, outarray);
 
        // get Mass matrix inverse
        MatrixKey masskey(StdRegions::eInvMass, DetShapeType(), *this);
        DNekScalMatSharedPtr matsys = m_matrixManager[masskey];
 
        // copy inarray in case inarray == outarray
        DNekVec in(m_ncoeffs, outarray);
        DNekVec out(m_ncoeffs, outarray, eWrapper);
 
        out = (*matsys) * in;
    }
}
 
//---------------------------------------
// Inner product functions
//---------------------------------------
 
/**
 * \brief Calculate the inner product of inarray with respect to the
 * basis B=base0*base1*base2 and put into outarray:
 *
 * \f$ \begin{array}{rcl} I_{pqr} = (\phi_{pqr}, u)_{\delta} & = &
 * \sum_{i=0}^{nq_0} \sum_{j=0}^{nq_1} \sum_{k=0}^{nq_2} \psi_{p}^{a}
 * (\bar \eta_{1i}) \psi_{q}^{a} (\eta_{2j}) \psi_{pqr}^{c}
 * (\eta_{3k}) w_i w_j w_k u(\bar \eta_{1,i} \eta_{2,j} \eta_{3,k})
 * J_{i,j,k}\\ & = & \sum_{i=0}^{nq_0} \psi_p^a(\bar \eta_{1,i})
 * \sum_{j=0}^{nq_1} \psi_{q}^a(\eta_{2,j}) \sum_{k=0}^{nq_2}
 * \psi_{pqr}^c u(\bar \eta_{1i},\eta_{2j},\eta_{3k}) J_{i,j,k}
 * \end{array} \f$ \n
 *
 * where
 *
 * \f$\phi_{pqr} (\xi_1 , \xi_2 , \xi_3) = \psi_p^a (\bar \eta_1)
 * \psi_{q}^a (\eta_2) \psi_{pqr}^c (\eta_3) \f$ \n
 *
 * which can be implemented as \n \f$f_{pqr} (\xi_{3k}) =
 * \sum_{k=0}^{nq_3} \psi_{pqr}^c u(\bar
 * \eta_{1i},\eta_{2j},\eta_{3k}) J_{i,j,k} = {\bf B_3 U} \f$ \n \f$
 * g_{pq} (\xi_{3k}) = \sum_{j=0}^{nq_1} \psi_{q}^a (\xi_{2j}) f_{pqr}
 * (\xi_{3k}) = {\bf B_2 F} \f$ \n \f$ (\phi_{pqr}, u)_{\delta} =
 * \sum_{k=0}^{nq_0} \psi_{p}^a (\xi_{3k}) g_{pq} (\xi_{3k}) = {\bf
 * B_1 G} \f$
 */
 
void PyrExp::v_IProductWRTBase(const Array<OneD, const NekDouble> &inarray,
                               Array<OneD, NekDouble> &outarray)
{
    v_IProductWRTBase_SumFac(inarray, outarray);
}
 
void PyrExp::v_IProductWRTBase_SumFac(
    const Array<OneD, const NekDouble> &inarray,
    Array<OneD, NekDouble> &outarray, bool multiplybyweights)
{
    const int nquad0 = m_base[0]->GetNumPoints();
    const int nquad1 = m_base[1]->GetNumPoints();
    const int nquad2 = m_base[2]->GetNumPoints();
    const int order0 = m_base[0]->GetNumModes();
    const int order1 = m_base[1]->GetNumModes();
 
    Array<OneD, NekDouble> wsp(order0 * nquad2 * (nquad1 + order1));
 
    if (multiplybyweights)
    {
        Array<OneD, NekDouble> tmp(nquad0 * nquad1 * nquad2);
 
        MultiplyByQuadratureMetric(inarray, tmp);
 
        IProductWRTBase_SumFacKernel(
            m_base[0]->GetBdata(), m_base[1]->GetBdata(), m_base[2]->GetBdata(),
            tmp, outarray, wsp, true, true, true);
    }
    else
    {
        IProductWRTBase_SumFacKernel(
            m_base[0]->GetBdata(), m_base[1]->GetBdata(), m_base[2]->GetBdata(),
            inarray, outarray, wsp, true, true, true);
    }
}
 
/**
 * @brief Calculates the inner product \f$ I_{pqr} = (u,
 * \partial_{x_i} \phi_{pqr}) \f$.
 *
 * The derivative of the basis functions is performed using the chain
 * rule in order to incorporate the geometric factors. Assuming that
 * the basis functions are a tensor product
 * \f$\phi_{pqr}(\eta_1,\eta_2,\eta_3) =
 * \phi_1(\eta_1)\phi_2(\eta_2)\phi_3(\eta_3)\f$, this yields the
 * result
 *
 * \f[
 * I_{pqr} = \sum_{j=1}^3 \left(u, \frac{\partial u}{\partial \eta_j}
 * \frac{\partial \eta_j}{\partial x_i}\right)
 * \f]
 *
 * In the pyramid element, we must also incorporate a second set
 * of geometric factors which incorporate the collapsed co-ordinate
 * system, so that
 *
 * \f[ \frac{\partial\eta_j}{\partial x_i} = \sum_{k=1}^3
 * \frac{\partial\eta_j}{\partial\xi_k}\frac{\partial\xi_k}{\partial
 * x_i} \f]
 *
 * These derivatives can be found on p152 of Sherwin & Karniadakis.
 *
 * @param dir       Direction in which to take the derivative.
 * @param inarray   The function \f$ u \f$.
 * @param outarray  Value of the inner product.
 */
void PyrExp::v_IProductWRTDerivBase(const int dir,
                                    const Array<OneD, const NekDouble> &inarray,
                                    Array<OneD, NekDouble> &outarray)
{
    v_IProductWRTDerivBase_SumFac(dir, inarray, outarray);
}
 
void PyrExp::v_IProductWRTDerivBase_SumFac(
    const int dir, const Array<OneD, const NekDouble> &inarray,
    Array<OneD, NekDouble> &outarray)
{
    const int nquad0 = m_base[0]->GetNumPoints();
    const int nquad1 = m_base[1]->GetNumPoints();
    const int nquad2 = m_base[2]->GetNumPoints();
    const int order0 = m_base[0]->GetNumModes();
    const int order1 = m_base[1]->GetNumModes();
    const int nqtot  = nquad0 * nquad1 * nquad2;
 
    Array<OneD, NekDouble> tmp1(nqtot);
    Array<OneD, NekDouble> tmp2(nqtot);
    Array<OneD, NekDouble> tmp3(nqtot);
    Array<OneD, NekDouble> tmp4(nqtot);
    Array<OneD, NekDouble> tmp6(m_ncoeffs);
    Array<OneD, NekDouble> wsp(
        std::max(nqtot, order0 * nquad2 * (nquad1 + order1)));
 
    MultiplyByQuadratureMetric(inarray, tmp1);
 
    Array<OneD, Array<OneD, NekDouble>> tmp2D{3};
    tmp2D[0] = tmp2;
    tmp2D[1] = tmp3;
    tmp2D[2] = tmp4;
 
    PyrExp::v_AlignVectorToCollapsedDir(dir, tmp1, tmp2D);
 
    IProductWRTBase_SumFacKernel(m_base[0]->GetDbdata(), m_base[1]->GetBdata(),
                                 m_base[2]->GetBdata(), tmp2, outarray, wsp,
                                 false, true, true);
 
    IProductWRTBase_SumFacKernel(m_base[0]->GetBdata(), m_base[1]->GetDbdata(),
                                 m_base[2]->GetBdata(), tmp3, tmp6, wsp, true,
                                 false, true);
 
    Vmath::Vadd(m_ncoeffs, tmp6, 1, outarray, 1, outarray, 1);
 
    IProductWRTBase_SumFacKernel(m_base[0]->GetBdata(), m_base[1]->GetBdata(),
                                 m_base[2]->GetDbdata(), tmp4, tmp6, wsp, true,
                                 true, false);
 
    Vmath::Vadd(m_ncoeffs, tmp6, 1, outarray, 1, outarray, 1);
}
 
void PyrExp::v_AlignVectorToCollapsedDir(
    const int dir, const Array<OneD, const NekDouble> &inarray,
    Array<OneD, Array<OneD, NekDouble>> &outarray)
{
    const int nquad0 = m_base[0]->GetNumPoints();
    const int nquad1 = m_base[1]->GetNumPoints();
    const int nquad2 = m_base[2]->GetNumPoints();
    const int nqtot  = nquad0 * nquad1 * nquad2;
 
    const Array<OneD, const NekDouble> &z0 = m_base[0]->GetZ();
    const Array<OneD, const NekDouble> &z1 = m_base[1]->GetZ();
    const Array<OneD, const NekDouble> &z2 = m_base[2]->GetZ();
 
    Array<OneD, NekDouble> tmp2 = outarray[0];
    Array<OneD, NekDouble> tmp3 = outarray[1];
    Array<OneD, NekDouble> tmp4 = outarray[2];
 
    const Array<TwoD, const NekDouble> &df =
        m_metricinfo->GetDerivFactors(GetPointsKeys());
 
    if (m_metricinfo->GetGtype() == SpatialDomains::eDeformed)
    {
        Vmath::Vmul(nqtot, &df[3 * dir][0], 1, inarray.data(), 1, tmp2.data(),
                    1);
        Vmath::Vmul(nqtot, &df[3 * dir + 1][0], 1, inarray.data(), 1,
                    tmp3.data(), 1);
        Vmath::Vmul(nqtot, &df[3 * dir + 2][0], 1, inarray.data(), 1,
                    tmp4.data(), 1);
    }
    else
    {
        Vmath::Smul(nqtot, df[3 * dir][0], inarray.data(), 1, tmp2.data(), 1);
        Vmath::Smul(nqtot, df[3 * dir + 1][0], inarray.data(), 1, tmp3.data(),
                    1);
        Vmath::Smul(nqtot, df[3 * dir + 2][0], inarray.data(), 1, tmp4.data(),
                    1);
    }
 
    int i, j;
    NekDouble g0, g1, g2, g02;
 
    for (int k = 0, cnt = 0; k < nquad2; ++k)
    {
        g2 = 2.0 / (1.0 - z2[k]);
 
        for (j = 0; j < nquad1; ++j)
        {
            g1 = 0.5 * (1.0 + z1[j]) * g2;
 
            for (i = 0; i < nquad0; ++i, ++cnt)
            {
                g0  = 0.5 * (1.0 + z0[i]);
                g02 = g0 * g2;
 
                outarray[0][cnt] = g2 * tmp2[cnt] + g02 * tmp4[cnt];
                outarray[1][cnt] = g2 * tmp3[cnt] + g1 * tmp4[cnt];
            }
        }
    }
}
 
//---------------------------------------
// Evaluation functions
//---------------------------------------
 
StdRegions::StdExpansionSharedPtr PyrExp::v_GetStdExp(void) const
{
    return MemoryManager<StdRegions::StdPyrExp>::AllocateSharedPtr(
        m_base[0]->GetBasisKey(), m_base[1]->GetBasisKey(),
        m_base[2]->GetBasisKey());
}
 
StdRegions::StdExpansionSharedPtr PyrExp::v_GetLinStdExp(void) const
{
    LibUtilities::BasisKey bkey0(m_base[0]->GetBasisType(), 2,
                                 m_base[0]->GetPointsKey());
    LibUtilities::BasisKey bkey1(m_base[1]->GetBasisType(), 2,
                                 m_base[1]->GetPointsKey());
    LibUtilities::BasisKey bkey2(m_base[2]->GetBasisType(), 2,
                                 m_base[2]->GetPointsKey());
 
    return MemoryManager<StdRegions::StdPyrExp>::AllocateSharedPtr(bkey0, bkey1,
                                                                   bkey2);
}
 
/*
 * @brief Get the coordinates #coords at the local coordinates
 * #Lcoords
 */
void PyrExp::v_GetCoord(const Array<OneD, const NekDouble> &Lcoords,
                        Array<OneD, NekDouble> &coords)
{
    int i;
 
    ASSERTL1(Lcoords[0] <= -1.0 && Lcoords[0] >= 1.0 && Lcoords[1] <= -1.0 &&
                 Lcoords[1] >= 1.0 && Lcoords[2] <= -1.0 && Lcoords[2] >= 1.0,
             "Local coordinates are not in region [-1,1]");
 
    // m_geom->FillGeom(); // TODO: implement FillGeom()
 
    for (i = 0; i < m_geom->GetCoordim(); ++i)
    {
        coords[i] = m_geom->GetCoord(i, Lcoords);
    }
}
 
void PyrExp::v_GetCoords(Array<OneD, NekDouble> &coords_1,
                         Array<OneD, NekDouble> &coords_2,
                         Array<OneD, NekDouble> &coords_3)
{
    Expansion::v_GetCoords(coords_1, coords_2, coords_3);
}
 
void PyrExp::v_ExtractDataToCoeffs(
    const NekDouble *data, const std::vector<unsigned int> &nummodes,
    const int mode_offset, NekDouble *coeffs,
    std::vector<LibUtilities::BasisType> &fromType)
{
    int data_order0 = nummodes[mode_offset];
    int fillorder0  = min(m_base[0]->GetNumModes(), data_order0);
    int data_order1 = nummodes[mode_offset + 1];
    int order1      = m_base[1]->GetNumModes();
    int fillorder1  = min(order1, data_order1);
    int data_order2 = nummodes[mode_offset + 2];
    int order2      = m_base[2]->GetNumModes();
    int fillorder2  = min(order2, data_order2);
 
    // Check if not same order or basis and if not make temp
    // element to read in data
    if (fromType[0] != m_base[0]->GetBasisType() ||
        fromType[1] != m_base[1]->GetBasisType() ||
        fromType[2] != m_base[2]->GetBasisType() || data_order0 != fillorder0 ||
        data_order1 != fillorder1 || data_order2 != fillorder2)
    {
        // Construct a pyr with the appropriate basis type at our
        // quadrature points, and one more to do a forwards
        // transform. We can then copy the output to coeffs.
        StdRegions::StdPyrExp tmpPyr(
            LibUtilities::BasisKey(fromType[0], data_order0,
                                   m_base[0]->GetPointsKey()),
            LibUtilities::BasisKey(fromType[1], data_order1,
                                   m_base[1]->GetPointsKey()),
            LibUtilities::BasisKey(fromType[2], data_order2,
                                   m_base[2]->GetPointsKey()));
 
        StdRegions::StdPyrExp tmpPyr2(m_base[0]->GetBasisKey(),
                                      m_base[1]->GetBasisKey(),
                                      m_base[2]->GetBasisKey());
 
        Array<OneD, const NekDouble> tmpData(tmpPyr.GetNcoeffs(), data);
        Array<OneD, NekDouble> tmpBwd(tmpPyr2.GetTotPoints());
        Array<OneD, NekDouble> tmpOut(tmpPyr2.GetNcoeffs());
 
        tmpPyr.BwdTrans(tmpData, tmpBwd);
        tmpPyr2.FwdTrans(tmpBwd, tmpOut);
        Vmath::Vcopy(tmpOut.size(), &tmpOut[0], 1, coeffs, 1);
    }
    else
    {
        Vmath::Vcopy(m_ncoeffs, &data[0], 1, coeffs, 1);
    }
}
 
/**
 * Given the local cartesian coordinate \a Lcoord evaluate the
 * value of physvals at this point by calling through to the
 * StdExpansion method
 */
NekDouble PyrExp::v_StdPhysEvaluate(
    const Array<OneD, const NekDouble> &Lcoord,
    const Array<OneD, const NekDouble> &physvals)
{
    // Evaluate point in local coordinates.
    return StdExpansion3D::v_PhysEvaluate(Lcoord, physvals);
}
 
NekDouble PyrExp::v_PhysEvaluate(const Array<OneD, const NekDouble> &coord,
                                 const Array<OneD, const NekDouble> &physvals)
{
    Array<OneD, NekDouble> Lcoord(3);
 
    ASSERTL0(m_geom, "m_geom not defined");
 
    // TODO: check GetLocCoords()
    m_geom->GetLocCoords(coord, Lcoord);
 
    return StdExpansion3D::v_PhysEvaluate(Lcoord, physvals);
}
 
NekDouble PyrExp::v_PhysEvalFirstDeriv(
    const Array<OneD, NekDouble> &coord,
    const Array<OneD, const NekDouble> &inarray,
    std::array<NekDouble, 3> &firstOrderDerivs)
{
    Array<OneD, NekDouble> Lcoord(3);
    ASSERTL0(m_geom, "m_geom not defined");
    m_geom->GetLocCoords(coord, Lcoord);
    return StdPyrExp::v_PhysEvalFirstDeriv(Lcoord, inarray, firstOrderDerivs);
}
 
//---------------------------------------
// Helper functions
//---------------------------------------
 
void PyrExp::v_GetTracePhysMap(const int face, Array<OneD, int> &outarray)
{
    int nquad0 = m_base[0]->GetNumPoints();
    int nquad1 = m_base[1]->GetNumPoints();
    int nquad2 = m_base[2]->GetNumPoints();
 
    int nq0 = 0;
    int nq1 = 0;
 
    switch (face)
    {
        case 0:
            nq0 = nquad0;
            nq1 = nquad1;
            if (outarray.size() != nq0 * nq1)
            {
                outarray = Array<OneD, int>(nq0 * nq1);
            }
 
            // Directions A and B positive
            for (int i = 0; i < nquad0 * nquad1; ++i)
            {
                outarray[i] = i;
            }
 
            break;
        case 1:
            nq0 = nquad0;
            nq1 = nquad2;
            if (outarray.size() != nq0 * nq1)
            {
                outarray = Array<OneD, int>(nq0 * nq1);
            }
 
            // Direction A and B positive
            for (int k = 0; k < nquad2; k++)
            {
                for (int i = 0; i < nquad0; ++i)
                {
                    outarray[k * nquad0 + i] = (nquad0 * nquad1 * k) + i;
                }
            }
 
            break;
        case 2:
            nq0 = nquad1;
            nq1 = nquad2;
            if (outarray.size() != nq0 * nq1)
            {
                outarray = Array<OneD, int>(nq0 * nq1);
            }
 
            // Directions A and B positive
            for (int j = 0; j < nquad1 * nquad2; ++j)
            {
                outarray[j] = nquad0 - 1 + j * nquad0;
            }
            break;
        case 3:
 
            nq0 = nquad0;
            nq1 = nquad2;
            if (outarray.size() != nq0 * nq1)
            {
                outarray = Array<OneD, int>(nq0 * nq1);
            }
 
            // Direction A and B positive
            for (int k = 0; k < nquad2; k++)
            {
                for (int i = 0; i < nquad0; ++i)
                {
                    outarray[k * nquad0 + i] =
                        nquad0 * (nquad1 - 1) + (nquad0 * nquad1 * k) + i;
                }
            }
            break;
        case 4:
            nq0 = nquad1;
            nq1 = nquad2;
 
            if (outarray.size() != nq0 * nq1)
            {
                outarray = Array<OneD, int>(nq0 * nq1);
            }
 
            // Directions A and B positive
            for (int j = 0; j < nquad1 * nquad2; ++j)
            {
                outarray[j] = j * nquad0;
            }
            break;
        default:
            ASSERTL0(false, "face value (> 4) is out of range");
            break;
    }
}
 
void PyrExp::v_ComputeTraceNormal(const int face)
{
    const SpatialDomains::GeomFactorsSharedPtr &geomFactors =
        GetGeom()->GetMetricInfo();
 
    LibUtilities::PointsKeyVector ptsKeys = GetPointsKeys();
    for (int i = 0; i < ptsKeys.size(); ++i)
    {
        // Need at least 2 points for computing normals
        if (ptsKeys[i].GetNumPoints() == 1)
        {
            LibUtilities::PointsKey pKey(2, ptsKeys[i].GetPointsType());
            ptsKeys[i] = pKey;
        }
    }
 
    SpatialDomains::GeomType type = geomFactors->GetGtype();
    const Array<TwoD, const NekDouble> &df =
        geomFactors->GetDerivFactors(ptsKeys);
    const Array<OneD, const NekDouble> &jac = geomFactors->GetJac(ptsKeys);
 
    LibUtilities::BasisKey tobasis0 = GetTraceBasisKey(face, 0);
    LibUtilities::BasisKey tobasis1 = GetTraceBasisKey(face, 1);
 
    // Number of quadrature points in face expansion.
    int nq_face = tobasis0.GetNumPoints() * tobasis1.GetNumPoints();
 
    int vCoordDim = GetCoordim();
    int i;
 
    m_traceNormals[face] = Array<OneD, Array<OneD, NekDouble>>(vCoordDim);
    Array<OneD, Array<OneD, NekDouble>> &normal = m_traceNormals[face];
    for (i = 0; i < vCoordDim; ++i)
    {
        normal[i] = Array<OneD, NekDouble>(nq_face);
    }
 
    size_t nqb                     = nq_face;
    size_t nbnd                    = face;
    m_elmtBndNormDirElmtLen[nbnd]  = Array<OneD, NekDouble>{nqb, 0.0};
    Array<OneD, NekDouble> &length = m_elmtBndNormDirElmtLen[nbnd];
 
    // Regular geometry case
    if (type == SpatialDomains::eRegular ||
        type == SpatialDomains::eMovingRegular)
    {
        NekDouble fac;
        // Set up normals
        switch (face)
        {
            case 0:
            {
                for (i = 0; i < vCoordDim; ++i)
                {
                    normal[i][0] = -df[3 * i + 2][0];
                }
                break;
            }
            case 1:
            {
                for (i = 0; i < vCoordDim; ++i)
                {
                    normal[i][0] = -df[3 * i + 1][0];
                }
                break;
            }
            case 2:
            {
                for (i = 0; i < vCoordDim; ++i)
                {
                    normal[i][0] = df[3 * i][0] + df[3 * i + 2][0];
                }
                break;
            }
            case 3:
            {
                for (i = 0; i < vCoordDim; ++i)
                {
                    normal[i][0] = df[3 * i + 1][0] + df[3 * i + 2][0];
                }
                break;
            }
            case 4:
            {
                for (i = 0; i < vCoordDim; ++i)
                {
                    normal[i][0] = -df[3 * i][0];
                }
                break;
            }
            default:
                ASSERTL0(false, "face is out of range (face < 4)");
        }
 
        // Normalise resulting vector.
        fac = 0.0;
        for (i = 0; i < vCoordDim; ++i)
        {
            fac += normal[i][0] * normal[i][0];
        }
        fac = 1.0 / sqrt(fac);
 
        Vmath::Fill(nqb, fac, length, 1);
 
        for (i = 0; i < vCoordDim; ++i)
        {
            Vmath::Fill(nq_face, fac * normal[i][0], normal[i], 1);
        }
    }
    else
    {
        // Set up deformed normals.
        int j, k;
 
        int nq0  = ptsKeys[0].GetNumPoints();
        int nq1  = ptsKeys[1].GetNumPoints();
        int nq2  = ptsKeys[2].GetNumPoints();
        int nq01 = nq0 * nq1;
        int nqtot;
 
        // Determine number of quadrature points on the face.
        if (face == 0)
        {
            nqtot = nq0 * nq1;
        }
        else if (face == 1 || face == 3)
        {
            nqtot = nq0 * nq2;
        }
        else
        {
            nqtot = nq1 * nq2;
        }
 
        LibUtilities::PointsKey points0;
        LibUtilities::PointsKey points1;
 
        Array<OneD, NekDouble> faceJac(nqtot);
        Array<OneD, NekDouble> normals(vCoordDim * nqtot, 0.0);
 
        // Extract Jacobian along face and recover local derivatives
        // (dx/dr) for polynomial interpolation by multiplying m_gmat by
        // jacobian
        switch (face)
        {
            case 0:
            {
                for (j = 0; j < nq01; ++j)
                {
                    normals[j]             = -df[2][j] * jac[j];
                    normals[nqtot + j]     = -df[5][j] * jac[j];
                    normals[2 * nqtot + j] = -df[8][j] * jac[j];
                    faceJac[j]             = jac[j];
                }
 
                points0 = ptsKeys[0];
                points1 = ptsKeys[1];
                break;
            }
 
            case 1:
            {
                for (j = 0; j < nq0; ++j)
                {
                    for (k = 0; k < nq2; ++k)
                    {
                        int tmp                      = j + nq01 * k;
                        normals[j + k * nq0]         = -df[1][tmp] * jac[tmp];
                        normals[nqtot + j + k * nq0] = -df[4][tmp] * jac[tmp];
                        normals[2 * nqtot + j + k * nq0] =
                            -df[7][tmp] * jac[tmp];
                        faceJac[j + k * nq0] = jac[tmp];
                    }
                }
 
                points0 = ptsKeys[0];
                points1 = ptsKeys[2];
                break;
            }
 
            case 2:
            {
                for (j = 0; j < nq1; ++j)
                {
                    for (k = 0; k < nq2; ++k)
                    {
                        int tmp = nq0 - 1 + nq0 * j + nq01 * k;
                        normals[j + k * nq1] =
                            (df[0][tmp] + df[2][tmp]) * jac[tmp];
                        normals[nqtot + j + k * nq1] =
                            (df[3][tmp] + df[5][tmp]) * jac[tmp];
                        normals[2 * nqtot + j + k * nq1] =
                            (df[6][tmp] + df[8][tmp]) * jac[tmp];
                        faceJac[j + k * nq1] = jac[tmp];
                    }
                }
 
                points0 = ptsKeys[1];
                points1 = ptsKeys[2];
                break;
            }
 
            case 3:
            {
                for (j = 0; j < nq0; ++j)
                {
                    for (k = 0; k < nq2; ++k)
                    {
                        int tmp = nq0 * (nq1 - 1) + j + nq01 * k;
                        normals[j + k * nq0] =
                            (df[1][tmp] + df[2][tmp]) * jac[tmp];
                        normals[nqtot + j + k * nq0] =
                            (df[4][tmp] + df[5][tmp]) * jac[tmp];
                        normals[2 * nqtot + j + k * nq0] =
                            (df[7][tmp] + df[8][tmp]) * jac[tmp];
                        faceJac[j + k * nq0] = jac[tmp];
                    }
                }
 
                points0 = ptsKeys[0];
                points1 = ptsKeys[2];
                break;
            }
 
            case 4:
            {
                for (j = 0; j < nq1; ++j)
                {
                    for (k = 0; k < nq2; ++k)
                    {
                        int tmp                      = j * nq0 + nq01 * k;
                        normals[j + k * nq1]         = -df[0][tmp] * jac[tmp];
                        normals[nqtot + j + k * nq1] = -df[3][tmp] * jac[tmp];
                        normals[2 * nqtot + j + k * nq1] =
                            -df[6][tmp] * jac[tmp];
                        faceJac[j + k * nq1] = jac[tmp];
                    }
                }
 
                points0 = ptsKeys[1];
                points1 = ptsKeys[2];
                break;
            }
 
            default:
                ASSERTL0(false, "face is out of range (face < 4)");
        }
 
        Array<OneD, NekDouble> work(nq_face, 0.0);
        // Interpolate Jacobian and invert
        LibUtilities::Interp2D(points0, points1, faceJac,
                               tobasis0.GetPointsKey(), tobasis1.GetPointsKey(),
                               work);
        Vmath::Sdiv(nq_face, 1.0, &work[0], 1, &work[0], 1);
 
        // Interpolate normal and multiply by inverse Jacobian.
        for (i = 0; i < vCoordDim; ++i)
        {
            LibUtilities::Interp2D(points0, points1, &normals[i * nqtot],
                                   tobasis0.GetPointsKey(),
                                   tobasis1.GetPointsKey(), &normal[i][0]);
            Vmath::Vmul(nq_face, work, 1, normal[i], 1, normal[i], 1);
        }
 
        // Normalise to obtain unit normals.
        Vmath::Zero(nq_face, work, 1);
        for (i = 0; i < GetCoordim(); ++i)
        {
            Vmath::Vvtvp(nq_face, normal[i], 1, normal[i], 1, work, 1, work, 1);
        }
 
        Vmath::Vsqrt(nq_face, work, 1, work, 1);
        Vmath::Sdiv(nq_face, 1.0, work, 1, work, 1);
 
        Vmath::Vcopy(nqb, work, 1, length, 1);
 
        for (i = 0; i < GetCoordim(); ++i)
        {
            Vmath::Vmul(nq_face, normal[i], 1, work, 1, normal[i], 1);
        }
    }
}
 
void PyrExp::v_SVVLaplacianFilter(Array<OneD, NekDouble> &array,
                                  const StdRegions::StdMatrixKey &mkey)
{
    int nq = GetTotPoints();
 
    // Calculate sqrt of the Jacobian
    Array<OneD, const NekDouble> jac = m_metricinfo->GetJac(GetPointsKeys());
    Array<OneD, NekDouble> sqrt_jac(nq);
    if (m_metricinfo->GetGtype() == SpatialDomains::eDeformed)
    {
        Vmath::Vsqrt(nq, jac, 1, sqrt_jac, 1);
    }
    else
    {
        Vmath::Fill(nq, sqrt(jac[0]), sqrt_jac, 1);
    }
 
    // Multiply array by sqrt(Jac)
    Vmath::Vmul(nq, sqrt_jac, 1, array, 1, array, 1);
 
    // Apply std region filter
    StdPyrExp::v_SVVLaplacianFilter(array, mkey);
 
    // Divide by sqrt(Jac)
    Vmath::Vdiv(nq, array, 1, sqrt_jac, 1, array, 1);
}
 
//---------------------------------------
// Matrix creation functions
//---------------------------------------
 
DNekMatSharedPtr PyrExp::v_GenMatrix(const StdRegions::StdMatrixKey &mkey)
{
    DNekMatSharedPtr returnval;
 
    switch (mkey.GetMatrixType())
    {
        case StdRegions::eHybridDGHelmholtz:
        case StdRegions::eHybridDGLamToU:
        case StdRegions::eHybridDGLamToQ0:
        case StdRegions::eHybridDGLamToQ1:
        case StdRegions::eHybridDGLamToQ2:
        case StdRegions::eHybridDGHelmBndLam:
            returnval = Expansion3D::v_GenMatrix(mkey);
            break;
        default:
            returnval = StdPyrExp::v_GenMatrix(mkey);
    }
 
    return returnval;
}
 
DNekMatSharedPtr PyrExp::v_CreateStdMatrix(const StdRegions::StdMatrixKey &mkey)
{
    LibUtilities::BasisKey bkey0 = m_base[0]->GetBasisKey();
    LibUtilities::BasisKey bkey1 = m_base[1]->GetBasisKey();
    LibUtilities::BasisKey bkey2 = m_base[2]->GetBasisKey();
    StdRegions::StdPyrExpSharedPtr tmp =
        MemoryManager<StdPyrExp>::AllocateSharedPtr(bkey0, bkey1, bkey2);
 
    return tmp->GetStdMatrix(mkey);
}
 
DNekScalMatSharedPtr PyrExp::v_GetLocMatrix(const MatrixKey &mkey)
{
    return m_matrixManager[mkey];
}
 
void PyrExp::v_DropLocMatrix(const MatrixKey &mkey)
{
    m_matrixManager.DeleteObject(mkey);
}
 
DNekScalBlkMatSharedPtr PyrExp::v_GetLocStaticCondMatrix(const MatrixKey &mkey)
{
    return m_staticCondMatrixManager[mkey];
}
 
void PyrExp::v_DropLocStaticCondMatrix(const MatrixKey &mkey)
{
    m_staticCondMatrixManager.DeleteObject(mkey);
}
 
void PyrExp::v_ComputeLaplacianMetric()
{
    if (m_metrics.count(eMetricQuadrature) == 0)
    {
        ComputeQuadratureMetric();
    }
 
    int i, j;
    const unsigned int nqtot = GetTotPoints();
    const unsigned int dim   = 3;
    const MetricType m[3][3] = {
        {eMetricLaplacian00, eMetricLaplacian01, eMetricLaplacian02},
        {eMetricLaplacian01, eMetricLaplacian11, eMetricLaplacian12},
        {eMetricLaplacian02, eMetricLaplacian12, eMetricLaplacian22}};
 
    for (unsigned int i = 0; i < dim; ++i)
    {
        for (unsigned int j = i; j < dim; ++j)
        {
            m_metrics[m[i][j]] = Array<OneD, NekDouble>(nqtot);
        }
    }
 
    // Define shorthand synonyms for m_metrics storage
    Array<OneD, NekDouble> g0(m_metrics[m[0][0]]);
    Array<OneD, NekDouble> g1(m_metrics[m[1][1]]);
    Array<OneD, NekDouble> g2(m_metrics[m[2][2]]);
    Array<OneD, NekDouble> g3(m_metrics[m[0][1]]);
    Array<OneD, NekDouble> g4(m_metrics[m[0][2]]);
    Array<OneD, NekDouble> g5(m_metrics[m[1][2]]);
 
    // Allocate temporary storage
    Array<OneD, NekDouble> alloc(9 * nqtot, 0.0);
    Array<OneD, NekDouble> h0(nqtot, alloc);
    Array<OneD, NekDouble> h1(nqtot, alloc + 1 * nqtot);
    Array<OneD, NekDouble> h2(nqtot, alloc + 2 * nqtot);
    Array<OneD, NekDouble> wsp1(nqtot, alloc + 3 * nqtot);
    Array<OneD, NekDouble> wsp2(nqtot, alloc + 4 * nqtot);
    Array<OneD, NekDouble> wsp3(nqtot, alloc + 5 * nqtot);
    Array<OneD, NekDouble> wsp4(nqtot, alloc + 6 * nqtot);
    Array<OneD, NekDouble> wsp5(nqtot, alloc + 7 * nqtot);
    Array<OneD, NekDouble> wsp6(nqtot, alloc + 8 * nqtot);
 
    const Array<TwoD, const NekDouble> &df =
        m_metricinfo->GetDerivFactors(GetPointsKeys());
    const Array<OneD, const NekDouble> &z0 = m_base[0]->GetZ();
    const Array<OneD, const NekDouble> &z1 = m_base[1]->GetZ();
    const Array<OneD, const NekDouble> &z2 = m_base[2]->GetZ();
    const unsigned int nquad0              = m_base[0]->GetNumPoints();
    const unsigned int nquad1              = m_base[1]->GetNumPoints();
    const unsigned int nquad2              = m_base[2]->GetNumPoints();
 
    // Populate collapsed coordinate arrays h0, h1 and h2.
    for (j = 0; j < nquad2; ++j)
    {
        for (i = 0; i < nquad1; ++i)
        {
            Vmath::Fill(nquad0, 2.0 / (1.0 - z2[j]),
                        &h0[0] + i * nquad0 + j * nquad0 * nquad1, 1);
            Vmath::Fill(nquad0, 1.0 / (1.0 - z2[j]),
                        &h1[0] + i * nquad0 + j * nquad0 * nquad1, 1);
            Vmath::Fill(nquad0, (1.0 + z1[i]) / (1.0 - z2[j]),
                        &h2[0] + i * nquad0 + j * nquad0 * nquad1, 1);
        }
    }
    for (i = 0; i < nquad0; i++)
    {
        Blas::Dscal(nquad1 * nquad2, 1 + z0[i], &h1[0] + i, nquad0);
    }
 
    // Step 3. Construct combined metric terms for physical space to
    // collapsed coordinate system.
    // Order of construction optimised to minimise temporary storage
    if (m_metricinfo->GetGtype() == SpatialDomains::eDeformed)
    {
        // f_{1k}
        Vmath::Vvtvvtp(nqtot, &df[0][0], 1, &h0[0], 1, &df[2][0], 1, &h1[0], 1,
                       &wsp1[0], 1);
        Vmath::Vvtvvtp(nqtot, &df[3][0], 1, &h0[0], 1, &df[5][0], 1, &h1[0], 1,
                       &wsp2[0], 1);
        Vmath::Vvtvvtp(nqtot, &df[6][0], 1, &h0[0], 1, &df[8][0], 1, &h1[0], 1,
                       &wsp3[0], 1);
 
        // g0
        Vmath::Vvtvvtp(nqtot, &wsp1[0], 1, &wsp1[0], 1, &wsp2[0], 1, &wsp2[0],
                       1, &g0[0], 1);
        Vmath::Vvtvp(nqtot, &wsp3[0], 1, &wsp3[0], 1, &g0[0], 1, &g0[0], 1);
 
        // g4
        Vmath::Vvtvvtp(nqtot, &df[2][0], 1, &wsp1[0], 1, &df[5][0], 1, &wsp2[0],
                       1, &g4[0], 1);
        Vmath::Vvtvp(nqtot, &df[8][0], 1, &wsp3[0], 1, &g4[0], 1, &g4[0], 1);
 
        // f_{2k}
        Vmath::Vvtvvtp(nqtot, &df[1][0], 1, &h0[0], 1, &df[2][0], 1, &h2[0], 1,
                       &wsp4[0], 1);
        Vmath::Vvtvvtp(nqtot, &df[4][0], 1, &h0[0], 1, &df[5][0], 1, &h2[0], 1,
                       &wsp5[0], 1);
        Vmath::Vvtvvtp(nqtot, &df[7][0], 1, &h0[0], 1, &df[8][0], 1, &h2[0], 1,
                       &wsp6[0], 1);
 
        // g1
        Vmath::Vvtvvtp(nqtot, &wsp4[0], 1, &wsp4[0], 1, &wsp5[0], 1, &wsp5[0],
                       1, &g1[0], 1);
        Vmath::Vvtvp(nqtot, &wsp6[0], 1, &wsp6[0], 1, &g1[0], 1, &g1[0], 1);
 
        // g3
        Vmath::Vvtvvtp(nqtot, &wsp1[0], 1, &wsp4[0], 1, &wsp2[0], 1, &wsp5[0],
                       1, &g3[0], 1);
        Vmath::Vvtvp(nqtot, &wsp3[0], 1, &wsp6[0], 1, &g3[0], 1, &g3[0], 1);
 
        // g5
        Vmath::Vvtvvtp(nqtot, &df[2][0], 1, &wsp4[0], 1, &df[5][0], 1, &wsp5[0],
                       1, &g5[0], 1);
        Vmath::Vvtvp(nqtot, &df[8][0], 1, &wsp6[0], 1, &g5[0], 1, &g5[0], 1);
 
        // g2
        Vmath::Vvtvvtp(nqtot, &df[2][0], 1, &df[2][0], 1, &df[5][0], 1,
                       &df[5][0], 1, &g2[0], 1);
        Vmath::Vvtvp(nqtot, &df[8][0], 1, &df[8][0], 1, &g2[0], 1, &g2[0], 1);
    }
    else
    {
        // f_{1k}
        Vmath::Svtsvtp(nqtot, df[0][0], &h0[0], 1, df[2][0], &h1[0], 1,
                       &wsp1[0], 1);
        Vmath::Svtsvtp(nqtot, df[3][0], &h0[0], 1, df[5][0], &h1[0], 1,
                       &wsp2[0], 1);
        Vmath::Svtsvtp(nqtot, df[6][0], &h0[0], 1, df[8][0], &h1[0], 1,
                       &wsp3[0], 1);
 
        // g0
        Vmath::Vvtvvtp(nqtot, &wsp1[0], 1, &wsp1[0], 1, &wsp2[0], 1, &wsp2[0],
                       1, &g0[0], 1);
        Vmath::Vvtvp(nqtot, &wsp3[0], 1, &wsp3[0], 1, &g0[0], 1, &g0[0], 1);
 
        // g4
        Vmath::Svtsvtp(nqtot, df[2][0], &wsp1[0], 1, df[5][0], &wsp2[0], 1,
                       &g4[0], 1);
        Vmath::Svtvp(nqtot, df[8][0], &wsp3[0], 1, &g4[0], 1, &g4[0], 1);
 
        // f_{2k}
        Vmath::Svtsvtp(nqtot, df[1][0], &h0[0], 1, df[2][0], &h2[0], 1,
                       &wsp4[0], 1);
        Vmath::Svtsvtp(nqtot, df[4][0], &h0[0], 1, df[5][0], &h2[0], 1,
                       &wsp5[0], 1);
        Vmath::Svtsvtp(nqtot, df[7][0], &h0[0], 1, df[8][0], &h2[0], 1,
                       &wsp6[0], 1);
 
        // g1
        Vmath::Vvtvvtp(nqtot, &wsp4[0], 1, &wsp4[0], 1, &wsp5[0], 1, &wsp5[0],
                       1, &g1[0], 1);
        Vmath::Vvtvp(nqtot, &wsp6[0], 1, &wsp6[0], 1, &g1[0], 1, &g1[0], 1);
 
        // g3
        Vmath::Vvtvvtp(nqtot, &wsp1[0], 1, &wsp4[0], 1, &wsp2[0], 1, &wsp5[0],
                       1, &g3[0], 1);
        Vmath::Vvtvp(nqtot, &wsp3[0], 1, &wsp6[0], 1, &g3[0], 1, &g3[0], 1);
 
        // g5
        Vmath::Svtsvtp(nqtot, df[2][0], &wsp4[0], 1, df[5][0], &wsp5[0], 1,
                       &g5[0], 1);
        Vmath::Svtvp(nqtot, df[8][0], &wsp6[0], 1, &g5[0], 1, &g5[0], 1);
 
        // g2
        Vmath::Fill(nqtot,
                    df[2][0] * df[2][0] + df[5][0] * df[5][0] +
                        df[8][0] * df[8][0],
                    &g2[0], 1);
    }
 
    for (unsigned int i = 0; i < dim; ++i)
    {
        for (unsigned int j = i; j < dim; ++j)
        {
            MultiplyByQuadratureMetric(m_metrics[m[i][j]], m_metrics[m[i][j]]);
        }
    }
}
 
void PyrExp::v_LaplacianMatrixOp_MatFree_Kernel(
    const Array<OneD, const NekDouble> &inarray,
    Array<OneD, NekDouble> &outarray, Array<OneD, NekDouble> &wsp)
{
    // This implementation is only valid when there are no coefficients
    // associated to the Laplacian operator
    if (m_metrics.count(eMetricLaplacian00) == 0)
    {
        ComputeLaplacianMetric();
    }
 
    int nquad0 = m_base[0]->GetNumPoints();
    int nquad1 = m_base[1]->GetNumPoints();
    int nq2    = m_base[2]->GetNumPoints();
    int nqtot  = nquad0 * nquad1 * nq2;
 
    ASSERTL1(wsp.size() >= 6 * nqtot, "Insufficient workspace size.");
    ASSERTL1(m_ncoeffs <= nqtot, "Workspace not set up for ncoeffs > nqtot");
 
    const Array<OneD, const NekDouble> &base0  = m_base[0]->GetBdata();
    const Array<OneD, const NekDouble> &base1  = m_base[1]->GetBdata();
    const Array<OneD, const NekDouble> &base2  = m_base[2]->GetBdata();
    const Array<OneD, const NekDouble> &dbase0 = m_base[0]->GetDbdata();
    const Array<OneD, const NekDouble> &dbase1 = m_base[1]->GetDbdata();
    const Array<OneD, const NekDouble> &dbase2 = m_base[2]->GetDbdata();
    const Array<OneD, const NekDouble> &metric00 =
        m_metrics[eMetricLaplacian00];
    const Array<OneD, const NekDouble> &metric01 =
        m_metrics[eMetricLaplacian01];
    const Array<OneD, const NekDouble> &metric02 =
        m_metrics[eMetricLaplacian02];
    const Array<OneD, const NekDouble> &metric11 =
        m_metrics[eMetricLaplacian11];
    const Array<OneD, const NekDouble> &metric12 =
        m_metrics[eMetricLaplacian12];
    const Array<OneD, const NekDouble> &metric22 =
        m_metrics[eMetricLaplacian22];
 
    // Allocate temporary storage
    Array<OneD, NekDouble> wsp0(2 * nqtot, wsp);
    Array<OneD, NekDouble> wsp1(nqtot, wsp + 1 * nqtot);
    Array<OneD, NekDouble> wsp2(nqtot, wsp + 2 * nqtot);
    Array<OneD, NekDouble> wsp3(nqtot, wsp + 3 * nqtot);
    Array<OneD, NekDouble> wsp4(nqtot, wsp + 4 * nqtot);
    Array<OneD, NekDouble> wsp5(nqtot, wsp + 5 * nqtot);
 
    // LAPLACIAN MATRIX OPERATION
    // wsp1 = du_dxi1 = D_xi1 * inarray = D_xi1 * u
    // wsp2 = du_dxi2 = D_xi2 * inarray = D_xi2 * u
    // wsp2 = du_dxi3 = D_xi3 * inarray = D_xi3 * u
    StdExpansion3D::PhysTensorDeriv(inarray, wsp0, wsp1, wsp2);
 
    // wsp0 = k = g0 * wsp1 + g1 * wsp2 = g0 * du_dxi1 + g1 * du_dxi2
    // wsp2 = l = g1 * wsp1 + g2 * wsp2 = g0 * du_dxi1 + g1 * du_dxi2
    // where g0, g1 and g2 are the metric terms set up in the GeomFactors class
    // especially for this purpose
    Vmath::Vvtvvtp(nqtot, &metric00[0], 1, &wsp0[0], 1, &metric01[0], 1,
                   &wsp1[0], 1, &wsp3[0], 1);
    Vmath::Vvtvp(nqtot, &metric02[0], 1, &wsp2[0], 1, &wsp3[0], 1, &wsp3[0], 1);
    Vmath::Vvtvvtp(nqtot, &metric01[0], 1, &wsp0[0], 1, &metric11[0], 1,
                   &wsp1[0], 1, &wsp4[0], 1);
    Vmath::Vvtvp(nqtot, &metric12[0], 1, &wsp2[0], 1, &wsp4[0], 1, &wsp4[0], 1);
    Vmath::Vvtvvtp(nqtot, &metric02[0], 1, &wsp0[0], 1, &metric12[0], 1,
                   &wsp1[0], 1, &wsp5[0], 1);
    Vmath::Vvtvp(nqtot, &metric22[0], 1, &wsp2[0], 1, &wsp5[0], 1, &wsp5[0], 1);
 
    // outarray = m = (D_xi1 * B)^T * k
    // wsp1     = n = (D_xi2 * B)^T * l
    IProductWRTBase_SumFacKernel(dbase0, base1, base2, wsp3, outarray, wsp0,
                                 false, true, true);
    IProductWRTBase_SumFacKernel(base0, dbase1, base2, wsp4, wsp2, wsp0, true,
                                 false, true);
    Vmath::Vadd(m_ncoeffs, wsp2.data(), 1, outarray.data(), 1, outarray.data(),
                1);
    IProductWRTBase_SumFacKernel(base0, base1, dbase2, wsp5, wsp2, wsp0, true,
                                 true, false);
    Vmath::Vadd(m_ncoeffs, wsp2.data(), 1, outarray.data(), 1, outarray.data(),
                1);
}
 
/** @brief: This method gets all of the factors which are
    required as part of the Gradient Jump Penalty
    stabilisation and involves the product of the normal and
    geometric factors along the element trace.
*/
void PyrExp::v_NormalTraceDerivFactors(
    Array<OneD, Array<OneD, NekDouble>> &d0factors,
    Array<OneD, Array<OneD, NekDouble>> &d1factors,
    Array<OneD, Array<OneD, NekDouble>> &d2factors)
{
    int nquad0 = GetNumPoints(0);
    int nquad1 = GetNumPoints(1);
    int nquad2 = GetNumPoints(2);
 
    const Array<TwoD, const NekDouble> &df =
        m_metricinfo->GetDerivFactors(GetPointsKeys());
 
    if (d0factors.size() != 5)
    {
        d0factors = Array<OneD, Array<OneD, NekDouble>>(5);
        d1factors = Array<OneD, Array<OneD, NekDouble>>(5);
        d2factors = Array<OneD, Array<OneD, NekDouble>>(5);
    }
 
    if (d0factors[0].size() != nquad0 * nquad1)
    {
        d0factors[0] = Array<OneD, NekDouble>(nquad0 * nquad1);
        d1factors[0] = Array<OneD, NekDouble>(nquad0 * nquad1);
        d2factors[0] = Array<OneD, NekDouble>(nquad0 * nquad1);
    }
 
    if (d0factors[1].size() != nquad0 * nquad2)
    {
        d0factors[1] = Array<OneD, NekDouble>(nquad0 * nquad2);
        d0factors[3] = Array<OneD, NekDouble>(nquad0 * nquad2);
        d1factors[1] = Array<OneD, NekDouble>(nquad0 * nquad2);
        d1factors[3] = Array<OneD, NekDouble>(nquad0 * nquad2);
        d2factors[1] = Array<OneD, NekDouble>(nquad0 * nquad2);
        d2factors[3] = Array<OneD, NekDouble>(nquad0 * nquad2);
    }
 
    if (d0factors[2].size() != nquad1 * nquad2)
    {
        d0factors[2] = Array<OneD, NekDouble>(nquad1 * nquad2);
        d0factors[4] = Array<OneD, NekDouble>(nquad1 * nquad2);
        d1factors[2] = Array<OneD, NekDouble>(nquad1 * nquad2);
        d1factors[4] = Array<OneD, NekDouble>(nquad1 * nquad2);
        d2factors[2] = Array<OneD, NekDouble>(nquad1 * nquad2);
        d2factors[4] = Array<OneD, NekDouble>(nquad1 * nquad2);
    }
 
    // Outwards normals
    const Array<OneD, const Array<OneD, NekDouble>> &normal_0 =
        GetTraceNormal(0);
    const Array<OneD, const Array<OneD, NekDouble>> &normal_1 =
        GetTraceNormal(1);
    const Array<OneD, const Array<OneD, NekDouble>> &normal_2 =
        GetTraceNormal(2);
    const Array<OneD, const Array<OneD, NekDouble>> &normal_3 =
        GetTraceNormal(3);
    const Array<OneD, const Array<OneD, NekDouble>> &normal_4 =
        GetTraceNormal(4);
 
    int ncoords = normal_0.size();
 
    // first gather together standard cartesian inner products
    if (m_metricinfo->GetGtype() == SpatialDomains::eDeformed)
    {
        // face 0
        for (int i = 0; i < nquad0 * nquad1; ++i)
        {
            d0factors[0][i] = df[0][i] * normal_0[0][i];
            d1factors[0][i] = df[1][i] * normal_0[0][i];
            d2factors[0][i] = df[2][i] * normal_0[0][i];
        }
 
        for (int n = 1; n < ncoords; ++n)
        {
            for (int i = 0; i < nquad0 * nquad1; ++i)
            {
                d0factors[0][i] += df[3 * n][i] * normal_0[n][i];
                d1factors[0][i] += df[3 * n + 1][i] * normal_0[n][i];
                d2factors[0][i] += df[3 * n + 2][i] * normal_0[n][i];
            }
        }
 
        // faces 1 and 3
        for (int j = 0; j < nquad2; ++j)
        {
            for (int i = 0; i < nquad0; ++i)
            {
                d0factors[1][j * nquad0 + i] = df[0][j * nquad0 * nquad1 + i] *
                                               normal_1[0][j * nquad0 + i];
                d1factors[1][j * nquad0 + i] = df[1][j * nquad0 * nquad1 + i] *
                                               normal_1[0][j * nquad0 + i];
                d2factors[1][j * nquad0 + i] = df[2][j * nquad0 * nquad1 + i] *
                                               normal_1[0][j * nquad0 + i];
 
                d0factors[3][j * nquad0 + i] =
                    df[0][(j + 1) * nquad0 * nquad1 - nquad0 + i] *
                    normal_3[0][j * nquad0 + i];
                d1factors[3][j * nquad0 + i] =
                    df[1][(j + 1) * nquad0 * nquad1 - nquad0 + i] *
                    normal_3[0][j * nquad0 + i];
                d2factors[3][j * nquad0 + i] =
                    df[2][(j + 1) * nquad0 * nquad1 - nquad0 + i] *
                    normal_3[0][j * nquad0 + i];
            }
        }
 
        for (int n = 1; n < ncoords; ++n)
        {
            for (int j = 0; j < nquad2; ++j)
            {
                for (int i = 0; i < nquad0; ++i)
                {
                    d0factors[1][j * nquad0 + i] +=
                        df[3 * n][j * nquad0 * nquad1 + i] *
                        normal_1[0][j * nquad0 + i];
                    d1factors[1][j * nquad0 + i] +=
                        df[3 * n + 1][j * nquad0 * nquad1 + i] *
                        normal_1[0][j * nquad0 + i];
                    d2factors[1][j * nquad0 + i] +=
                        df[3 * n + 2][j * nquad0 * nquad1 + i] *
                        normal_1[0][j * nquad0 + i];
 
                    d0factors[3][j * nquad0 + i] +=
                        df[3 * n][(j + 1) * nquad0 * nquad1 - nquad0 + i] *
                        normal_3[0][j * nquad0 + i];
                    d1factors[3][j * nquad0 + i] +=
                        df[3 * n + 1][(j + 1) * nquad0 * nquad1 - nquad0 + i] *
                        normal_3[0][j * nquad0 + i];
                    d2factors[3][j * nquad0 + i] +=
                        df[3 * n + 2][(j + 1) * nquad0 * nquad1 - nquad0 + i] *
                        normal_3[0][j * nquad0 + i];
                }
            }
        }
 
        // faces 2 and 4
        for (int j = 0; j < nquad2; ++j)
        {
            for (int i = 0; i < nquad1; ++i)
            {
                d0factors[2][j * nquad1 + i] =
                    df[0][j * nquad0 * nquad1 + (i + 1) * nquad0 - 1] *
                    normal_2[0][j * nquad1 + i];
                d1factors[2][j * nquad1 + i] =
                    df[1][j * nquad0 * nquad1 + (i + 1) * nquad0 - 1] *
                    normal_2[0][j * nquad1 + i];
                d2factors[2][j * nquad1 + i] =
                    df[2][j * nquad0 * nquad1 + (i + 1) * nquad0 - 1] *
                    normal_2[0][j * nquad1 + i];
 
                d0factors[4][j * nquad1 + i] =
                    df[0][j * nquad0 * nquad1 + i * nquad0] *
                    normal_4[0][j * nquad1 + i];
                d1factors[4][j * nquad1 + i] =
                    df[1][j * nquad0 * nquad1 + i * nquad0] *
                    normal_4[0][j * nquad1 + i];
                d2factors[4][j * nquad1 + i] =
                    df[2][j * nquad0 * nquad1 + i * nquad0] *
                    normal_4[0][j * nquad1 + i];
            }
        }
 
        for (int n = 1; n < ncoords; ++n)
        {
            for (int j = 0; j < nquad2; ++j)
            {
                for (int i = 0; i < nquad1; ++i)
                {
                    d0factors[2][j * nquad1 + i] +=
                        df[3 * n][j * nquad0 * nquad1 + (i + 1) * nquad0 - 1] *
                        normal_2[n][j * nquad1 + i];
                    d1factors[2][j * nquad1 + i] +=
                        df[3 * n + 1]
                          [j * nquad0 * nquad1 + (i + 1) * nquad0 - 1] *
                        normal_2[n][j * nquad1 + i];
                    d2factors[2][j * nquad1 + i] +=
                        df[3 * n + 2]
                          [j * nquad0 * nquad1 + (i + 1) * nquad0 - 1] *
                        normal_2[n][j * nquad1 + i];
 
                    d0factors[4][j * nquad1 + i] +=
                        df[3 * n][i * nquad0 + j * nquad0 * nquad1] *
                        normal_4[n][j * nquad1 + i];
                    d1factors[4][j * nquad1 + i] +=
                        df[3 * n + 1][i * nquad0 + j * nquad0 * nquad1] *
                        normal_4[n][j * nquad1 + i];
                    d2factors[4][j * nquad1 + i] +=
                        df[3 * n + 2][i * nquad0 + j * nquad0 * nquad1] *
                        normal_4[n][j * nquad1 + i];
                }
            }
        }
    }
    else
    {
        // Face 0
        for (int i = 0; i < nquad0 * nquad1; ++i)
        {
            d0factors[0][i] = df[0][0] * normal_0[0][i];
            d1factors[0][i] = df[1][0] * normal_0[0][i];
            d2factors[0][i] = df[2][0] * normal_0[0][i];
        }
 
        for (int n = 1; n < ncoords; ++n)
        {
            for (int i = 0; i < nquad0 * nquad1; ++i)
            {
                d0factors[0][i] += df[3 * n][0] * normal_0[n][i];
                d1factors[0][i] += df[3 * n + 1][0] * normal_0[n][i];
                d2factors[0][i] += df[3 * n + 2][0] * normal_0[n][i];
            }
        }
 
        // faces 1 and 3
        for (int i = 0; i < nquad0 * nquad2; ++i)
        {
            d0factors[1][i] = df[0][0] * normal_1[0][i];
            d0factors[3][i] = df[0][0] * normal_3[0][i];
 
            d1factors[1][i] = df[1][0] * normal_1[0][i];
            d1factors[3][i] = df[1][0] * normal_3[0][i];
 
            d2factors[1][i] = df[2][0] * normal_1[0][i];
            d2factors[3][i] = df[2][0] * normal_3[0][i];
        }
 
        for (int n = 1; n < ncoords; ++n)
        {
            for (int i = 0; i < nquad0 * nquad2; ++i)
            {
                d0factors[1][i] += df[3 * n][0] * normal_1[n][i];
                d0factors[3][i] += df[3 * n][0] * normal_3[n][i];
 
                d1factors[1][i] += df[3 * n + 1][0] * normal_1[n][i];
                d1factors[3][i] += df[3 * n + 1][0] * normal_3[n][i];
 
                d2factors[1][i] += df[3 * n + 2][0] * normal_1[n][i];
                d2factors[3][i] += df[3 * n + 2][0] * normal_3[n][i];
            }
        }
 
        // faces 2 and 4
        for (int i = 0; i < nquad1 * nquad2; ++i)
        {
            d0factors[2][i] = df[0][0] * normal_2[0][i];
            d0factors[4][i] = df[0][0] * normal_4[0][i];
 
            d1factors[2][i] = df[1][0] * normal_2[0][i];
            d1factors[4][i] = df[1][0] * normal_4[0][i];
 
            d2factors[2][i] = df[2][0] * normal_2[0][i];
            d2factors[4][i] = df[2][0] * normal_4[0][i];
        }
 
        for (int n = 1; n < ncoords; ++n)
        {
            for (int i = 0; i < nquad1 * nquad2; ++i)
            {
                d0factors[2][i] += df[3 * n][0] * normal_2[n][i];
                d0factors[4][i] += df[3 * n][0] * normal_4[n][i];
 
                d1factors[2][i] += df[3 * n + 1][0] * normal_2[n][i];
                d1factors[4][i] += df[3 * n + 1][0] * normal_4[n][i];
 
                d2factors[2][i] += df[3 * n + 2][0] * normal_2[n][i];
                d2factors[4][i] += df[3 * n + 2][0] * normal_4[n][i];
            }
        }
    }
}
 
} // namespace Nektar::LocalRegions