tsgHardCodedTabulatedRules.hpp

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/*
 * Copyright (c) 2017, Miroslav Stoyanov
 *
 * This file is part of
 * Toolkit for Adaptive Stochastic Modeling And Non-Intrusive ApproximatioN: TASMANIAN
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#ifndef __TASMANIAN_SPARSE_HARDCODED_RULES_HPP
#define __TASMANIAN_SPARSE_HARDCODED_RULES_HPP
 
#include "tsgCoreOneDimensional.hpp"
 
namespace TasGrid{
 
class TableGaussPatterson{
public:
    TableGaussPatterson();
    ~TableGaussPatterson() = default;
 
    static int getNumLevels(){ return 9; }
    std::vector<double> getNodes(int level) const;
    double getWeight(int level, int point) const;
 
protected:
    void loadNodes();
    void loadWeights();
 
private:
    std::vector<double> nodes; // contains the x-coordinate of each sample point
    std::vector<double> weights; // contains the weight associated with each level
 
    std::vector<int> weights_offsets;
};
 
}
 
#endif