/usr/include/trilinos/Stokhos_TensorProductQuadratureImp.hpp is in libtrilinos-stokhos-dev 12.10.1-3.
This file is owned by root:root, with mode 0o644.
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// $Source$
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#include "Teuchos_TimeMonitor.hpp"
template <typename ordinal_type, typename value_type>
Stokhos::TensorProductQuadrature<ordinal_type, value_type>::
TensorProductQuadrature(const Teuchos::RCP<const ProductBasis<ordinal_type,value_type> >& product_basis)
{
#ifdef STOKHOS_TEUCHOS_TIME_MONITOR
TEUCHOS_FUNC_TIME_MONITOR("Stokhos::TensorProductQuadrature -- Quad Grid Generation");
#endif
ordinal_type d = product_basis->dimension();
ordinal_type sz = product_basis->size();
Teuchos::Array< Teuchos::RCP<const OneDOrthogPolyBasis<ordinal_type,value_type> > > coordinate_bases = product_basis->getCoordinateBases();
// Compute quad points, weights, values
Teuchos::Array< Teuchos::Array<value_type> > gp(d);
Teuchos::Array< Teuchos::Array<value_type> > gw(d);
Teuchos::Array< Teuchos::Array< Teuchos::Array<value_type> > > gv(d);
Teuchos::Array<ordinal_type> n(d);
ordinal_type ntot = 1;
for (ordinal_type i=0; i<d; i++) {
coordinate_bases[i]->getQuadPoints(2*(coordinate_bases[i]->order()),
gp[i], gw[i], gv[i]);
n[i] = gp[i].size();
ntot *= n[i];
}
quad_points.resize(ntot);
quad_weights.resize(ntot);
quad_values.resize(ntot);
Teuchos::Array<ordinal_type> index(d);
for (ordinal_type i=0; i<d; i++)
index[i] = 0;
ordinal_type cnt = 0;
while (cnt < ntot) {
quad_points[cnt].resize(d);
quad_weights[cnt] = value_type(1.0);
quad_values[cnt].resize(sz);
for (ordinal_type j=0; j<d; j++) {
quad_points[cnt][j] = gp[j][index[j]];
quad_weights[cnt] *= gw[j][index[j]];
}
for (ordinal_type k=0; k<sz; k++) {
quad_values[cnt][k] = value_type(1.0);
const MultiIndex<ordinal_type>& term = product_basis->term(k);
for (ordinal_type j=0; j<d; j++)
quad_values[cnt][k] *= gv[j][index[j]][term[j]];
}
++index[0];
ordinal_type i = 0;
while (i < d-1 && index[i] == n[i]) {
index[i] = 0;
++i;
++index[i];
}
++cnt;
}
//std::cout << "Number of quadrature points = " << ntot << std::endl;
}
template <typename ordinal_type, typename value_type>
Stokhos::TensorProductQuadrature<ordinal_type, value_type>::
TensorProductQuadrature(const Teuchos::RCP<const ProductBasis<ordinal_type,value_type> >& product_basis,const ordinal_type& quad_order)
{
#ifdef STOKHOS_TEUCHOS_TIME_MONITOR
TEUCHOS_FUNC_TIME_MONITOR("Stokhos::TensorProductQuadrature -- Quad Grid Generation");
#endif
ordinal_type d = product_basis->dimension();
ordinal_type sz = product_basis->size();
Teuchos::Array< Teuchos::RCP<const OneDOrthogPolyBasis<ordinal_type,value_type> > > coordinate_bases = product_basis->getCoordinateBases();
// Compute quad points, weights, values
Teuchos::Array< Teuchos::Array<value_type> > gp(d);
Teuchos::Array< Teuchos::Array<value_type> > gw(d);
Teuchos::Array< Teuchos::Array< Teuchos::Array<value_type> > > gv(d);
Teuchos::Array<ordinal_type> n(d);
ordinal_type ntot = 1;
for (ordinal_type i=0; i<d; i++) {
coordinate_bases[i]->getQuadPoints(quad_order,
gp[i], gw[i], gv[i]);
n[i] = gp[i].size();
ntot *= n[i];
}
quad_points.resize(ntot);
quad_weights.resize(ntot);
quad_values.resize(ntot);
Teuchos::Array<ordinal_type> index(d);
for (ordinal_type i=0; i<d; i++)
index[i] = 0;
ordinal_type cnt = 0;
while (cnt < ntot) {
quad_points[cnt].resize(d);
quad_weights[cnt] = value_type(1.0);
quad_values[cnt].resize(sz);
for (ordinal_type j=0; j<d; j++) {
quad_points[cnt][j] = gp[j][index[j]];
quad_weights[cnt] *= gw[j][index[j]];
}
for (ordinal_type k=0; k<sz; k++) {
quad_values[cnt][k] = value_type(1.0);
MultiIndex<ordinal_type> term = product_basis->term(k);
for (ordinal_type j=0; j<d; j++)
quad_values[cnt][k] *= gv[j][index[j]][term[j]];
}
++index[0];
ordinal_type i = 0;
while (i < d-1 && index[i] == n[i]) {
index[i] = 0;
++i;
++index[i];
}
++cnt;
}
//std::cout << "Number of quadrature points = " << ntot << std::endl;
}
template <typename ordinal_type, typename value_type>
const Teuchos::Array< Teuchos::Array<value_type> >&
Stokhos::TensorProductQuadrature<ordinal_type, value_type>::
getQuadPoints() const
{
return quad_points;
}
template <typename ordinal_type, typename value_type>
const Teuchos::Array<value_type>&
Stokhos::TensorProductQuadrature<ordinal_type, value_type>::
getQuadWeights() const
{
return quad_weights;
}
template <typename ordinal_type, typename value_type>
const Teuchos::Array< Teuchos::Array<value_type> >&
Stokhos::TensorProductQuadrature<ordinal_type, value_type>::
getBasisAtQuadPoints() const
{
return quad_values;
}
template <typename ordinal_type, typename value_type>
std::ostream&
Stokhos::TensorProductQuadrature<ordinal_type,value_type>::
print(std::ostream& os) const
{
ordinal_type nqp = quad_weights.size();
os << "Tensor Product Quadrature with " << nqp << " points:"
<< std::endl << "Weight : Points" << std::endl;
for (ordinal_type i=0; i<nqp; i++) {
os << i << ": " << quad_weights[i] << " : ";
for (ordinal_type j=0; j<static_cast<ordinal_type>(quad_points[i].size());
j++)
os << quad_points[i][j] << " ";
os << std::endl;
}
os << "Basis values at quadrature points:" << std::endl;
for (ordinal_type i=0; i<nqp; i++) {
os << i << " " << ": ";
for (ordinal_type j=0; j<static_cast<ordinal_type>(quad_values[i].size());
j++)
os << quad_values[i][j] << " ";
os << std::endl;
}
return os;
}
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