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Stokhos_TensorProductQuadratureImp.hpp
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43 #include "Teuchos_TimeMonitor.hpp"
44 
45 template <typename ordinal_type, typename value_type>
48 {
49 #ifdef STOKHOS_TEUCHOS_TIME_MONITOR
50  TEUCHOS_FUNC_TIME_MONITOR("Stokhos::TensorProductQuadrature -- Quad Grid Generation");
51 #endif
52  ordinal_type d = product_basis->dimension();
53  ordinal_type sz = product_basis->size();
54 
55  Teuchos::Array< Teuchos::RCP<const OneDOrthogPolyBasis<ordinal_type,value_type> > > coordinate_bases = product_basis->getCoordinateBases();
56 
57  // Compute quad points, weights, values
62  ordinal_type ntot = 1;
63  for (ordinal_type i=0; i<d; i++) {
64  coordinate_bases[i]->getQuadPoints(2*(coordinate_bases[i]->order()),
65  gp[i], gw[i], gv[i]);
66  n[i] = gp[i].size();
67  ntot *= n[i];
68  }
69  quad_points.resize(ntot);
70  quad_weights.resize(ntot);
71  quad_values.resize(ntot);
73  for (ordinal_type i=0; i<d; i++)
74  index[i] = 0;
75  ordinal_type cnt = 0;
76  while (cnt < ntot) {
77  quad_points[cnt].resize(d);
78  quad_weights[cnt] = value_type(1.0);
79  quad_values[cnt].resize(sz);
80  for (ordinal_type j=0; j<d; j++) {
81  quad_points[cnt][j] = gp[j][index[j]];
82  quad_weights[cnt] *= gw[j][index[j]];
83  }
84  for (ordinal_type k=0; k<sz; k++) {
85  quad_values[cnt][k] = value_type(1.0);
86  const MultiIndex<ordinal_type>& term = product_basis->term(k);
87  for (ordinal_type j=0; j<d; j++)
88  quad_values[cnt][k] *= gv[j][index[j]][term[j]];
89  }
90  ++index[0];
91  ordinal_type i = 0;
92  while (i < d-1 && index[i] == n[i]) {
93  index[i] = 0;
94  ++i;
95  ++index[i];
96  }
97  ++cnt;
98  }
99 
100  //std::cout << "Number of quadrature points = " << ntot << std::endl;
101 }
102 
103 template <typename ordinal_type, typename value_type>
106 {
107 #ifdef STOKHOS_TEUCHOS_TIME_MONITOR
108  TEUCHOS_FUNC_TIME_MONITOR("Stokhos::TensorProductQuadrature -- Quad Grid Generation");
109 #endif
110  ordinal_type d = product_basis->dimension();
111  ordinal_type sz = product_basis->size();
112 
113  Teuchos::Array< Teuchos::RCP<const OneDOrthogPolyBasis<ordinal_type,value_type> > > coordinate_bases = product_basis->getCoordinateBases();
114 
115  // Compute quad points, weights, values
120  ordinal_type ntot = 1;
121  for (ordinal_type i=0; i<d; i++) {
122  coordinate_bases[i]->getQuadPoints(quad_order,
123  gp[i], gw[i], gv[i]);
124  n[i] = gp[i].size();
125  ntot *= n[i];
126  }
127  quad_points.resize(ntot);
128  quad_weights.resize(ntot);
129  quad_values.resize(ntot);
131  for (ordinal_type i=0; i<d; i++)
132  index[i] = 0;
133  ordinal_type cnt = 0;
134  while (cnt < ntot) {
135  quad_points[cnt].resize(d);
136  quad_weights[cnt] = value_type(1.0);
137  quad_values[cnt].resize(sz);
138  for (ordinal_type j=0; j<d; j++) {
139  quad_points[cnt][j] = gp[j][index[j]];
140  quad_weights[cnt] *= gw[j][index[j]];
141  }
142  for (ordinal_type k=0; k<sz; k++) {
143  quad_values[cnt][k] = value_type(1.0);
144  MultiIndex<ordinal_type> term = product_basis->term(k);
145  for (ordinal_type j=0; j<d; j++)
146  quad_values[cnt][k] *= gv[j][index[j]][term[j]];
147  }
148  ++index[0];
149  ordinal_type i = 0;
150  while (i < d-1 && index[i] == n[i]) {
151  index[i] = 0;
152  ++i;
153  ++index[i];
154  }
155  ++cnt;
156  }
157 
158  //std::cout << "Number of quadrature points = " << ntot << std::endl;
159 }
160 
161 template <typename ordinal_type, typename value_type>
165 {
166  return quad_points;
167 }
168 
169 template <typename ordinal_type, typename value_type>
173 {
174  return quad_weights;
175 }
176 
177 template <typename ordinal_type, typename value_type>
181 {
182  return quad_values;
183 }
184 
185 template <typename ordinal_type, typename value_type>
186 std::ostream&
188 print(std::ostream& os) const
189 {
190  ordinal_type nqp = quad_weights.size();
191  os << "Tensor Product Quadrature with " << nqp << " points:"
192  << std::endl << "Weight : Points" << std::endl;
193  for (ordinal_type i=0; i<nqp; i++) {
194  os << i << ": " << quad_weights[i] << " : ";
195  for (ordinal_type j=0; j<static_cast<ordinal_type>(quad_points[i].size());
196  j++)
197  os << quad_points[i][j] << " ";
198  os << std::endl;
199  }
200  os << "Basis values at quadrature points:" << std::endl;
201  for (ordinal_type i=0; i<nqp; i++) {
202  os << i << " " << ": ";
203  for (ordinal_type j=0; j<static_cast<ordinal_type>(quad_values[i].size());
204  j++)
205  os << quad_values[i][j] << " ";
206  os << std::endl;
207  }
208 
209  return os;
210 }
#define TEUCHOS_FUNC_TIME_MONITOR(FUNCNAME)
SparseArrayIterator< index_iterator, value_iterator >::value_type index(const SparseArrayIterator< index_iterator, value_iterator > &it)
virtual const Teuchos::Array< Teuchos::Array< value_type > > & getQuadPoints() const
Get quadrature points.
virtual const Teuchos::Array< value_type > & getQuadWeights() const
Get quadrature weights.
TensorProductQuadrature(const Teuchos::RCP< const ProductBasis< ordinal_type, value_type > > &product_basis)
Constructor.
virtual const Teuchos::Array< Teuchos::Array< value_type > > & getBasisAtQuadPoints() const
Get values of basis at quadrature points.
Abstract base class for multivariate orthogonal polynomials generated from tensor products of univari...
void resize(size_type new_size, const value_type &x=value_type())
virtual std::ostream & print(std::ostream &os) const
Print quadrature data.
size_type size() const
int n