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VectorPartitionedTyings.hpp
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VectorPartitionedTyings.hpp
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/**
Implementation of VectorPartitionedTyings.h
\file VectorPartitionedTyings.hpp
\copyright Copyright 2017. Tom de Geus. All rights reserved.
\license This project is released under the GNU Public License (GPLv3).
*/
#ifndef GOOSEFEM_VECTORPARTITIONEDTYINGS_HPP
#define GOOSEFEM_VECTORPARTITIONEDTYINGS_HPP
#include "VectorPartitionedTyings.h"
namespace GooseFEM {
inline VectorPartitionedTyings::VectorPartitionedTyings(
const xt::xtensor<size_t, 2>& conn,
const xt::xtensor<size_t, 2>& dofs,
const Eigen::SparseMatrix<double>& Cdu,
const Eigen::SparseMatrix<double>& Cdp,
const Eigen::SparseMatrix<double>& Cdi)
: Vector(conn, dofs), m_Cdu(Cdu), m_Cdp(Cdp), m_Cdi(Cdi)
{
GOOSEFEM_ASSERT(Cdu.rows() == Cdp.rows());
GOOSEFEM_ASSERT(Cdi.rows() == Cdp.rows());
m_nnu = static_cast<size_t>(m_Cdu.cols());
m_nnp = static_cast<size_t>(m_Cdp.cols());
m_nnd = static_cast<size_t>(m_Cdp.rows());
m_nni = m_nnu + m_nnp;
m_iiu = xt::arange<size_t>(m_nnu);
m_iip = xt::arange<size_t>(m_nnu, m_nnu + m_nnp);
m_iid = xt::arange<size_t>(m_nni, m_nni + m_nnd);
m_Cud = m_Cdu.transpose();
m_Cpd = m_Cdp.transpose();
m_Cid = m_Cdi.transpose();
GOOSEFEM_ASSERT(static_cast<size_t>(m_Cdi.cols()) == m_nni);
GOOSEFEM_ASSERT(m_ndof == xt::amax(m_dofs)() + 1);
}
inline size_t VectorPartitionedTyings::nnu() const
{
return m_nnu;
}
inline size_t VectorPartitionedTyings::nnp() const
{
return m_nnp;
}
inline size_t VectorPartitionedTyings::nni() const
{
return m_nni;
}
inline size_t VectorPartitionedTyings::nnd() const
{
return m_nnd;
}
inline xt::xtensor<size_t, 1> VectorPartitionedTyings::iiu() const
{
return m_iiu;
}
inline xt::xtensor<size_t, 1> VectorPartitionedTyings::iip() const
{
return m_iip;
}
inline xt::xtensor<size_t, 1> VectorPartitionedTyings::iii() const
{
return xt::arange<size_t>(m_nni);
}
inline xt::xtensor<size_t, 1> VectorPartitionedTyings::iid() const
{
return m_iid;
}
inline void VectorPartitionedTyings::copy_p(
const xt::xtensor<double, 1>& dofval_src, xt::xtensor<double, 1>& dofval_dest) const
{
GOOSEFEM_ASSERT(dofval_src.size() == m_ndof || dofval_src.size() == m_nni);
GOOSEFEM_ASSERT(dofval_dest.size() == m_ndof || dofval_dest.size() == m_nni);
#pragma omp parallel for
for (size_t i = m_nnu; i < m_nni; ++i) {
dofval_dest(i) = dofval_src(i);
}
}
inline void VectorPartitionedTyings::asDofs_i(
const xt::xtensor<double, 2>& nodevec,
xt::xtensor<double, 1>& dofval_i,
bool apply_tyings) const
{
GOOSEFEM_ASSERT(xt::has_shape(nodevec, {m_nnode, m_ndim}));
GOOSEFEM_ASSERT(dofval_i.size() == m_nni);
dofval_i.fill(0.0);
#pragma omp parallel for
for (size_t m = 0; m < m_nnode; ++m) {
for (size_t i = 0; i < m_ndim; ++i) {
if (m_dofs(m, i) < m_nni) {
dofval_i(m_dofs(m, i)) = nodevec(m, i);
}
}
}
if (!apply_tyings) {
return;
}
Eigen::VectorXd Dofval_d = this->Eigen_asDofs_d(nodevec);
Eigen::VectorXd Dofval_i = m_Cid * Dofval_d;
#pragma omp parallel for
for (size_t i = 0; i < m_nni; ++i) {
dofval_i(i) += Dofval_i(i);
}
}
inline xt::xtensor<double, 1> VectorPartitionedTyings::AsDofs_i(const xt::xtensor<double, 2>& nodevec) const
{
xt::xtensor<double, 1> dofval = xt::empty<double>({m_nni});
this->asDofs_i(nodevec, dofval);
return dofval;
}
inline Eigen::VectorXd VectorPartitionedTyings::Eigen_asDofs_d(const xt::xtensor<double, 2>& nodevec) const
{
GOOSEFEM_ASSERT(xt::has_shape(nodevec, {m_nnode, m_ndim}));
Eigen::VectorXd dofval_d(m_nnd, 1);
#pragma omp parallel for
for (size_t m = 0; m < m_nnode; ++m) {
for (size_t i = 0; i < m_ndim; ++i) {
if (m_dofs(m, i) >= m_nni) {
dofval_d(m_dofs(m, i) - m_nni) = nodevec(m, i);
}
}
}
return dofval_d;
}
} // namespace GooseFEM
#endif

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