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Monte Carlo Integration Library 1.0
High-performance Monte Carlo methods for numerical integration and optimization
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This is the complete list of members for mc::integrators::MHMontecarloIntegrator< dim >, including all inherited members.
| domain | mc::integrators::Integrator< dim > | protected |
| Func typedef | mc::integrators::MHMontecarloIntegrator< dim > | |
| initializeRandomizer(int numbers) | mc::integrators::Integrator< dim > | inlineprotected |
| integrate(const Func &f, int n_samples, const mc::proposals::Proposal< dim > &proposal, std::uint32_t seed) override | mc::integrators::MHMontecarloIntegrator< dim > | |
| mc::integrators::Integrator::integrate(const std::function< double(const mc::geom::Point< dim > &)> &f, int n_samples, const mc::proposals::Proposal< dim > &proposal, std::uint32_t seed)=0 | mc::integrators::Integrator< dim > | pure virtual |
| Integrator(const mc::domains::IntegrationDomain< dim > &d) | mc::integrators::Integrator< dim > | inlineexplicit |
| MHMontecarloIntegrator(const mc::domains::IntegrationDomain< dim > &d) | mc::integrators::MHMontecarloIntegrator< dim > | explicit |
| Point typedef | mc::integrators::MHMontecarloIntegrator< dim > | |
| randomizer | mc::integrators::Integrator< dim > | protected |
| setConfig(std::size_t burn_in_, std::size_t thinning_, std::size_t n_samples_volume_, double deviation_, Func p_, Point x0_) | mc::integrators::MHMontecarloIntegrator< dim > | |
| ~Integrator()=default | mc::integrators::Integrator< dim > | virtual |
1.9.8