Intrepid_AdaptiveSparseGridInterfaceDef.hpp

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namespace Intrepid {
 
template<class Scalar, class UserVector>
AdaptiveSparseGridInterface<Scalar,UserVector>::AdaptiveSparseGridInterface(
              int dimension,
              std::vector<EIntrepidBurkardt> rule1D,
              std::vector<EIntrepidGrowth> growth1D,
              int maxLevel,
              bool isNormalized) {
 
  TEUCHOS_TEST_FOR_EXCEPTION((dimension!=(int)rule1D.size()||
                      dimension!=(int)growth1D.size()),std::out_of_range,
    ">>> ERROR (AdaptiveSparseGridInterface): Dimension mismatch for inputs.");
 
  dimension_    = dimension;
  rule1D_       = rule1D;
  growth1D_     = growth1D;
  maxLevel_     = maxLevel;
  isNormalized_ = isNormalized;
}
 
template<class Scalar, class UserVector>
void AdaptiveSparseGridInterface<Scalar,UserVector>::init(UserVector & output) {
  std::vector<int> index(dimension_,1);
  CubatureTensorSorted<Scalar> cubRule(
            dimension_,index,rule1D_,growth1D_,isNormalized_);
  
  // Evaluate the initial contribution to the integral
  initialDiff_ = 1.0;
  output.Update(-1.0,output);
  eval_cubature(output,cubRule);
 
  // Compute the initial error indicator
  initialDiff_ = error_indicator(output);
  if (std::abs(initialDiff_)<INTREPID_TOL) 
    initialDiff_ = 1.0;
}
 
template<class Scalar, class UserVector>
bool AdaptiveSparseGridInterface<Scalar,UserVector>::max_level(
                                             std::vector<int> index) {
  int dimension = (int)index.size();
  int sum = 0;
  for (int i=0; i<dimension; i++) {
    sum += index[i];
  }
  if (sum <= maxLevel_ + dimension - 1) 
    return true;
  return false;
}
 
template<class Scalar, class UserVector>
void AdaptiveSparseGridInterface<Scalar,UserVector>::eval_cubature(
               UserVector & output, 
               CubatureTensorSorted<Scalar> & cubRule) {
 
  //int dimf      = 0;                      // Dimension of the integrand
  Scalar weight = 0.0;
  std::vector<Scalar> point(dimension_,(Scalar)0.0);
  //std::vector<Scalar> f(1,0.0);
  Teuchos::RCP<UserVector> f = output.Create(); output.Update(-1.0,output);
 
  typename std::map<std::vector<Scalar>,int>::iterator it;
  for (it=cubRule.begin(); it!=cubRule.end(); it++) {
    // Evaluate Function
    point.assign((it->first).begin(),(it->first).end()); // Extract point
    f->Update(-1.0,*f);
    eval_integrand(*f,point);     // Evaluate Integrand at point
 
    // Update integral
    weight = cubRule.getWeight(it->second);
    output.Update(weight,*f);
  }
}
 
template<class Scalar, class UserVector>
void AdaptiveSparseGridInterface<Scalar,UserVector>::getRule(
        std::vector<EIntrepidBurkardt> & rule1D) {
  rule1D.clear();
  rule1D.resize(rule1D_.size());
  rule1D = rule1D_;
}
 
template<class Scalar, class UserVector>
void AdaptiveSparseGridInterface<Scalar,UserVector>::getGrowth(
        std::vector<EIntrepidGrowth> & growth1D) {
  growth1D.clear();
  growth1D.resize(growth1D_.size());
  growth1D = growth1D_;
}
 
template<class Scalar, class UserVector>
int AdaptiveSparseGridInterface<Scalar,UserVector>::getDimension(void) {
  return dimension_;
}
 
template<class Scalar, class UserVector>
bool AdaptiveSparseGridInterface<Scalar,UserVector>::isNormalized() {
  return isNormalized_;
}
 
template<class Scalar, class UserVector>
Scalar AdaptiveSparseGridInterface<Scalar,UserVector>::getInitialDiff() {
  return initialDiff_;
}
 
} // end Intrepid namespace