#pragma once #include "hadamard_mcmc.hpp" #include void swap(MCMC& s1, MCMC& s2) { std::swap(s1.M, s2.M); std::swap(s1.E, s2.E); } class ParallelMeasurement { public: virtual void after_step(bool, unsigned, unsigned, double, double, const MCMC&, const MCMC&){}; virtual void after_sweep(const std::vector&){}; }; typedef struct range { double β0; double β1; unsigned N; } range; class PT { private: randutils::mt19937_rng rng; public: std::vector Ms; ParallelMeasurement& B; std::vector& As; PT(std::list ranges, unsigned n, ParallelMeasurement& B, std::vector& As) : B(B), As(As) { unsigned count = 0; for (range r : ranges) { for (unsigned i = 1; i <= r.N; i++) { double β = r.β0 + i * (r.β1 - r.β0) / r.N; Ms.push_back(MCMC(n, β, *As[count])); count++; } } } void tune(unsigned N, double ε) { #pragma omp parallel for for (unsigned i = 0; i < Ms.size(); i++) { Ms[i].tune(N, ε); } } bool step(unsigned i, unsigned j) { double Δβ = Ms[i].β - Ms[j].β; double ΔE = Ms[i].E - Ms[j].E; bool accepted = Δβ * ΔE > 0 || exp(Δβ * ΔE) > rng.uniform((double)0.0, 1.0); if (accepted) swap(Ms[i], Ms[j]); B.after_step(accepted, i, j, Δβ, ΔE, Ms[i], Ms[j]); return accepted; } void sweep() { for (unsigned i = 0; i < Ms.size() - 1; i++) { for (unsigned j = i + 1; j < Ms.size(); j++) { this->step(i, j); } } } void run(unsigned n, unsigned m) { for (unsigned i = 0; i < n; i++) { #pragma omp parallel for for (unsigned j = 0; j < Ms.size(); j++) { Ms[j].run(m); } this->sweep(); B.after_sweep(this->Ms); } } };