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CMP++: Uncertainty Quantification & Bayesian Calibration
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Sobol low-discrepancy sequence grid generator. More...
#include <grid.h>


Public Member Functions | |
| SobolGrid (const Eigen::Ref< const Eigen::VectorXd > &lowerBound, const Eigen::Ref< const Eigen::VectorXd > &upperBound) | |
| Eigen::MatrixXd | construct (const size_t &nPoints) override |
| Eigen::VectorXd | operator() () |
| size_t | dim () const override |
Public Member Functions inherited from cmp::grid::Grid | |
| virtual | ~Grid ()=default |
Private Attributes | |
| boost::random::sobol | gen_ |
| Boost Sobol sequence generator. | |
| size_t | dimension_ |
| Number of dimensions. | |
| Eigen::VectorXd | lowerBound_ |
| Lower bounds vector. | |
| Eigen::VectorXd | upperBound_ |
| Upper bounds vector. | |
Sobol low-discrepancy sequence grid generator.
Mathematical Formulation Generates points using the quasi-random Sobol sequence to minimize star discrepancy:
\[ D_N^*(\mathcal{P}) = O\left( \frac{\log^D N}{N} \right) \]
ensuring faster convergence of multi-dimensional integrals compared to standard Monte Carlo.
Implementation Algorithm
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inline |
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inlineoverridevirtual |
Implements cmp::grid::Grid.
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inlineoverridevirtual |
Implements cmp::grid::Grid.
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inline |
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private |
Number of dimensions.
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private |
Boost Sobol sequence generator.
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private |
Lower bounds vector.
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private |
Upper bounds vector.