File parallel_mmcs.hpp
Functions
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template<typename WalkTypePolicy, typename Polytope, typename RandomNumberGenerator, typename MT, typename Point, typename NT>
bool perform_parallel_mmcs_step(Polytope &P, RandomNumberGenerator &rng, unsigned int const &walk_length, unsigned int const &target_ess, unsigned int const &max_num_samples, unsigned int const &window, unsigned int &Neff_sampled, unsigned int &total_samples, unsigned int const &num_rounding_steps, MT &TotalRandPoints, const Point &starting_point, unsigned int const &nburns, unsigned int const &num_threads, bool request_rounding, NT L) The class implements a single step of the Parallel Multiphase Monte Carlo Sampling algorithm given in,
A. Chalkis, V. Fisikopoulos, E. Tsigaridas, H. Zafeiropoulos, Geometric algorithms for sampling the flux space of metabolic networks, SoCG 21.
- Template Parameters:
WalkTypePolicy – random walk type
Polytope – convex polytope type
RandomNumberGenerator – random number generator type
MT – matrix type
Point – cartensian point type
NT – number type