/usr/include/trilinos/Stokhos_SparseGridQuadratureImp.hpp is in libtrilinos-stokhos-dev 12.4.2-2.
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// $Source$
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// Stokhos Package
// Copyright (2009) Sandia Corporation
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#include "TriKota_ConfigDefs.hpp"
#include "sandia_sgmg.hpp"
#include "sandia_rules.hpp"
#include "Teuchos_TimeMonitor.hpp"
template <typename ordinal_type, typename value_type>
Stokhos::SparseGridQuadrature<ordinal_type, value_type>::
SparseGridQuadrature(
const Teuchos::RCP<const ProductBasis<ordinal_type,value_type> >& product_basis,
ordinal_type sparse_grid_level,
value_type duplicate_tol,
ordinal_type growth_rate) :
coordinate_bases(product_basis->getCoordinateBases())
{
#ifdef STOKHOS_TEUCHOS_TIME_MONITOR
TEUCHOS_FUNC_TIME_MONITOR("Stokhos: Sparse Grid Generation");
#endif
ordinal_type d = product_basis->dimension();
ordinal_type p = product_basis->order();
ordinal_type sz = product_basis->size();
ordinal_type level = sparse_grid_level;
// Make level = order the default, which is correct for Gaussian abscissas
// slow, linear growth, and total-order basis
if (level == 0) {
level = p;
}
//std::cout << "Sparse grid level = " << level << std::endl;
// Compute quad points, weights, values
Teuchos::Array<typename OneDOrthogPolyBasis<ordinal_type,value_type>::LevelToOrderFnPtr> growth_rules(d);
Teuchos::Array< void (*) ( int order, int dim, double x[] ) > compute1DPoints(d);
Teuchos::Array< void (*) ( int order, int dim, double w[] ) > compute1DWeights(d);
for (ordinal_type i=0; i<d; i++) {
compute1DPoints[i] = &(getMyPoints);
compute1DWeights[i] = &(getMyWeights);
growth_rules[i] = coordinate_bases[i]->getSparseGridGrowthRule();
}
// Set the static sparse grid quadrature pointer to this
// (this will cause a conflict if another sparse grid quadrature object
// is trying to access the VPISparseGrid library, but that's all we can
// do at this point).
sgq = this;
int num_total_pts =
webbur::sgmg_size_total(d, level, growth_rate, &growth_rules[0]);
ordinal_type ntot =
webbur::sgmg_size(d, level, &compute1DPoints[0], duplicate_tol,
growth_rate, &growth_rules[0]);
Teuchos::Array<int> sparse_order(ntot*d);
Teuchos::Array<int> sparse_index(ntot*d);
Teuchos::Array<int> sparse_unique_index(num_total_pts);
quad_points.resize(ntot);
quad_weights.resize(ntot);
quad_values.resize(ntot);
Teuchos::Array<value_type> gp(ntot*d);
webbur::sgmg_unique_index(d, level, &compute1DPoints[0],
duplicate_tol, ntot, num_total_pts,
growth_rate, &growth_rules[0],
&sparse_unique_index[0]);
webbur::sgmg_index(d, level, ntot, num_total_pts,
&sparse_unique_index[0], growth_rate,
&growth_rules[0],
&sparse_order[0], &sparse_index[0]);
webbur::sgmg_weight(d, level, &compute1DWeights[0],
ntot, num_total_pts,
&sparse_unique_index[0], growth_rate,
&growth_rules[0],
&quad_weights[0]);
webbur::sgmg_point(d, level, &compute1DPoints[0],
ntot, &sparse_order[0],
&sparse_index[0], growth_rate,
&growth_rules[0],
&gp[0]);
for (ordinal_type i=0; i<ntot; i++) {
quad_values[i].resize(sz);
quad_points[i].resize(d);
for (ordinal_type j=0; j<d; j++)
quad_points[i][j] = gp[i*d+j];
product_basis->evaluateBases(quad_points[i], quad_values[i]);
}
//std::cout << "Number of quadrature points = " << ntot << std::endl;
}
template <typename ordinal_type, typename value_type>
const Teuchos::Array< Teuchos::Array<value_type> >&
Stokhos::SparseGridQuadrature<ordinal_type, value_type>::
getQuadPoints() const
{
return quad_points;
}
template <typename ordinal_type, typename value_type>
const Teuchos::Array<value_type>&
Stokhos::SparseGridQuadrature<ordinal_type, value_type>::
getQuadWeights() const
{
return quad_weights;
}
template <typename ordinal_type, typename value_type>
const Teuchos::Array< Teuchos::Array<value_type> >&
Stokhos::SparseGridQuadrature<ordinal_type, value_type>::
getBasisAtQuadPoints() const
{
return quad_values;
}
template <typename ordinal_type, typename value_type>
void
Stokhos::SparseGridQuadrature<ordinal_type,value_type>::
getMyPoints( int order, int dim, double x[] )
{
Teuchos::Array<double> quad_points;
Teuchos::Array<double> quad_weights;
Teuchos::Array< Teuchos::Array<double> > quad_values;
ordinal_type p = sgq->coordinate_bases[dim]->quadDegreeOfExactness(order);
sgq->coordinate_bases[dim]->getQuadPoints(p, quad_points,
quad_weights, quad_values);
TEUCHOS_ASSERT(quad_points.size() == order);
for (int i = 0; i<quad_points.size(); i++) {
x[i] = quad_points[i];
}
}
template <typename ordinal_type, typename value_type>
void
Stokhos::SparseGridQuadrature<ordinal_type,value_type>::
getMyWeights( int order, int dim, double w[] )
{
Teuchos::Array<double> quad_points;
Teuchos::Array<double> quad_weights;
Teuchos::Array< Teuchos::Array<double> > quad_values;
ordinal_type p = sgq->coordinate_bases[dim]->quadDegreeOfExactness(order);
sgq->coordinate_bases[dim]->getQuadPoints(p, quad_points,
quad_weights, quad_values);
TEUCHOS_ASSERT(quad_points.size() == order);
for (int i = 0; i<quad_points.size(); i++) {
w[i] = quad_weights[i];
}
}
template <typename ordinal_type, typename value_type>
std::ostream&
Stokhos::SparseGridQuadrature<ordinal_type,value_type>::
print(std::ostream& os) const
{
ordinal_type nqp = quad_weights.size();
os << "Sparse Grid 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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