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Monte Carlo Integration Library 1.0
High-performance Monte Carlo methods for numerical integration and optimization
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Importance sampling mean estimator. More...
Go to the source code of this file.
Classes | |
| struct | mc::estimators::ImportanceEstimate< dim > |
| Result of importance sampling mean estimation. More... | |
| class | mc::estimators::ISMeanEstimator< dim > |
| Importance sampling mean estimator with variance reduction. More... | |
Namespaces | |
| namespace | mc |
| namespace | mc::estimators |
Importance sampling mean estimator.
Estimates the weighted mean of a function using importance sampling. For integration: ∫_Ω f(x) dx = ∫ [f(x)/q(x)] · q(x) dx ≈ (1/N) ∑ [f(xᵢ)/q(xᵢ)] where xᵢ ~ q (proposal distribution).
Definition in file ISMeanEstimator.hpp.