Stan  2.10.0
probability, sampling & optimization
dense_e_static_hmc.hpp
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1 #ifndef STAN_MCMC_HMC_STATIC_DENSE_E_STATIC_HMC_HPP
2 #define STAN_MCMC_HMC_STATIC_DENSE_E_STATIC_HMC_HPP
3 
8 
9 namespace stan {
10  namespace mcmc {
16  template <class Model, class BaseRNG>
18  : public base_static_hmc<Model, dense_e_metric,
19  expl_leapfrog, BaseRNG> {
20  public:
21  dense_e_static_hmc(const Model& model, BaseRNG& rng)
23  expl_leapfrog, BaseRNG>(model, rng) { }
24  };
25 
26  } // mcmc
27 } // stan
28 #endif
Probability, optimization and sampling library.
Hamiltonian Monte Carlo implementation using the endpoint of trajectories with a static integration t...
Hamiltonian Monte Carlo implementation using the endpoint of trajectories with a static integration t...
dense_e_static_hmc(const Model &model, BaseRNG &rng)

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