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Monte Carlo Integration Library 1.0
High-performance Monte Carlo methods for numerical integration and optimization
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Mixture proposal distribution for importance sampling (non-owning raw pointers). More...
#include "proposal.hpp"#include <vector>#include <random>#include <stdexcept>#include <numeric>#include <cmath>#include "mixtureProposal.tpp"Go to the source code of this file.
Classes | |
| class | mc::proposals::MixtureProposal< dim > |
Namespaces | |
| namespace | mc |
| namespace | mc::proposals |
Mixture proposal distribution for importance sampling (non-owning raw pointers).
A mixture proposal is defined as: q(x) = sum_{k=1..K} w_k * q_k(x) where w_k >= 0 and sum_k w_k = 1, and each q_k is a Proposal<dim>.
Sampling: 1) draw k ~ Categorical(w) 2) draw x ~ q_k
PDF evaluation: q(x) = sum_k w_k * q_k.pdf(x)
LIFETIME NOTE: This class stores NON-OWNING pointers to proposal components. The caller must guarantee that all component proposals outlive this MixtureProposal.
Definition in file mixtureProposal.hpp.