Intrepid
Intrepid_AdaptiveSparseGridInterface.hpp
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49#ifndef INTREPID_ADAPTIVESPARSEGRIDINTERFACE_HPP
50#define INTREPID_ADAPTIVESPARSEGRIDINTERFACE_HPP
51
53
54namespace Intrepid {
55
62template<class Scalar, class UserVector>
64protected:
68
72
76
80
83 std::vector<EIntrepidBurkardt> rule1D_;
84
87 std::vector<EIntrepidGrowth> growth1D_;
88
89public:
93
103 int dimension,
104 std::vector<EIntrepidBurkardt> rule1D,
105 std::vector<EIntrepidGrowth> growth1D,
106 int maxLevel,
107 bool isNormalized);
108
114 virtual void eval_integrand(
115 UserVector & output,
116 std::vector<Scalar> & input) = 0;
117
123 virtual void eval_cubature(
124 UserVector & output,
126
131 virtual Scalar error_indicator(
132 UserVector & input) = 0;
133
138 virtual bool max_level(
139 std::vector<int> index);
140
144 void init(UserVector & output);
145
149 void getRule(std::vector<EIntrepidBurkardt> & rule1D);
150
154 void getGrowth(std::vector<EIntrepidGrowth> & growth1D);
155
158 int getDimension();
159
162 Scalar getInitialDiff();
163
166 bool isNormalized();
167};
168
169} // End Intrepid namespace
170
171// include templated definitions
173
174#endif
Definition file for the Intrepid::AdaptiveSparseGridInterface class.
Header file for the Intrepid::CubatureTensorSorted class.
int getDimension()
Return dimension of integration domain.
int dimension_
The dimension of the integration domain.
virtual void eval_integrand(UserVector &output, std::vector< Scalar > &input)=0
Evaluate the integrand function.
virtual Scalar error_indicator(UserVector &input)=0
User defined error indicator function.
virtual bool max_level(std::vector< int > index)
User defined test for maximum level of cubature.
bool isNormalized_
Whether or not to normalize the weights.
int maxLevel_
The maximum allowable level of quadrature.
std::vector< EIntrepidGrowth > growth1D_
The user defined 1D growth rules.
void init(UserVector &output)
Compute initial quantities for sparse grid adaptation.
void getGrowth(std::vector< EIntrepidGrowth > &growth1D)
Return user defined 1D growth rules.
std::vector< EIntrepidBurkardt > rule1D_
The user defined 1D cubature rules.
bool isNormalized()
Return whether or not cubature weights are normalized.
Scalar initialDiff_
The initial contribution to the integral.
void getRule(std::vector< EIntrepidBurkardt > &rule1D)
Return user defined 1D quadrature rules.
virtual void eval_cubature(UserVector &output, CubatureTensorSorted< Scalar > &cubRule)
Evaluate the cubature rule.
Utilizes 1D cubature (integration) rules contained in the library sandia_rules (John Burkardt,...