Header file of the MCMC algorithm function, and of the SingleRunResults class that stores the results. More...

#include <diagmc/diagram.h>
#include <ostream>
#include <chrono>

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Classes
class	SingleRunResults
	Container class to store all the simulation parameters, and the results of a run. It provides methods to print the results on standard output, and also to produce a formatted single-line output, e.g. for writing to file. More...

Functions
SingleRunResults	run_simulation (double beta, double initial_s0, double H, double GAMMA, unsigned long long int N_total_steps, unsigned long long int N_thermalization_steps, unsigned long long int update_choice_seed=std::chrono::system_clock::now().time_since_epoch().count(), unsigned long long int diagram_seed=std::chrono::system_clock::now().time_since_epoch().count())
	Runs the Markov Chain Diagrammatic Monte Carlo algorithm for the 2-level spin sistem, with the given parameters, returning the results statistics. More...

Detailed Description

Header file of the MCMC algorithm function, and of the SingleRunResults class that stores the results.

Definition in file simulation.h.

Function Documentation

SingleRunResults run_simulation	(	double	beta,
		double	initial_s0,
		double	H,
		double	GAMMA,
		unsigned long long int	N_total_steps,
		unsigned long long int	N_thermalization_steps,
		unsigned long long int	update_choice_seed = `std::chrono::system_clock::now().time_since_epoch().count()`,
		unsigned long long int	diagram_seed = `std::chrono::system_clock::now().time_since_epoch().count()`
	)

Runs the Markov Chain Diagrammatic Monte Carlo algorithm for the 2-level spin sistem, with the given parameters, returning the results statistics.

Parameters

beta	Length of the diagram (here representing 1/T). Must be > 0.
initial_s0	Spin of the 0-th segment of the diagram [0—t1] at the beginning of the simulation. Must be +1 or -1
H	Value of the longitudinal component of magnetic field
GAMMA	Value of the transversal component of magnetic field. Must be != 0.
N_total_steps	Total number of steps of the MCMC algorithm
N_thermalization_steps	Number of initial steps for which statistics is not collected
update_choice_seed	(optional) Seed for the Mersenne-Twister random number generator to choose WHICH update to attempt.
diagram_seed	(optional) Seed for the diagram, used INSIDE the updates