openjij::sampler Namespace Reference

Namespaces
namespace	base_sa_sample_hubo
namespace	csqa_sampler
namespace	response
namespace	sa_sampler
namespace	sampler
namespace	sqa_sampler

Classes
struct	IntegerSAResult
class	SASampler
	Class for executing simulated annealing. More...

Functions
template<class ModelType , class RandType , class StateUpdater >
IntegerSAResult	BaseSA (const ModelType &model, const utility::TemperatureSchedule schedule, const std::int64_t num_sweeps, const typename RandType::result_type seed, const double min_T, const double max_T, const bool log_history)
template<class ModelType , class UpdaterType >
IntegerSAResult	SolveByIntegerSAImpl (const ModelType &model, const std::int64_t num_sweeps, const algorithm::RandomNumberEngine rand_type, const utility::TemperatureSchedule schedule, const std::int64_t seed, const double min_T, const double max_T, const bool log_history)
template<class ModelType >
IntegerSAResult	SolveByIntegerSA (const ModelType &model, const std::int64_t num_sweeps, const algorithm::UpdateMethod update_method, const algorithm::RandomNumberEngine rand_type, const utility::TemperatureSchedule schedule, const std::int64_t seed, const double min_T, const double max_T, const bool log_history)
template<class ModelType >
std::vector< IntegerSAResult >	SampleByIntegerSA (const ModelType &model, const std::int64_t num_sweeps, const algorithm::UpdateMethod update_method, const algorithm::RandomNumberEngine rand_type, const utility::TemperatureSchedule schedule, const std::int64_t num_reads, const std::int64_t seed, const std::int32_t num_threads, const double min_T, const double max_T, const bool log_history)
template<class ModelType >
auto	make_sa_sampler (const ModelType &model)

Variables
	__path__ = extend_path(__path__, __name__)
list	__all__

Function Documentation

BaseSA()

template<class ModelType , class RandType , class StateUpdater >

IntegerSAResult openjij::sampler::BaseSA	(	const ModelType &	model,
		const utility::TemperatureSchedule	schedule,
		const std::int64_t	num_sweeps,
		const typename RandType::result_type	seed,
		const double	min_T,
		const double	max_T,
		const bool	log_history
	)

References openjij::sampler::IntegerSAResult::energy, openjij::sampler::IntegerSAResult::energy_history, openjij::utility::GEOMETRIC, openjij::utility::LINEAR, openjij::sampler::IntegerSAResult::solution, and openjij::sampler::IntegerSAResult::temperature_history.

make_sa_sampler()

template<class ModelType >

auto openjij::sampler::make_sa_sampler

(

const ModelType &

model

)

References make_sa_sampler().

Referenced by make_sa_sampler().

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SampleByIntegerSA()

template<class ModelType >

std::vector< IntegerSAResult > openjij::sampler::SampleByIntegerSA	(	const ModelType &	model,
		const std::int64_t	num_sweeps,
		const algorithm::UpdateMethod	update_method,
		const algorithm::RandomNumberEngine	rand_type,
		const utility::TemperatureSchedule	schedule,
		const std::int64_t	num_reads,
		const std::int64_t	seed,
		const std::int32_t	num_threads,
		const double	min_T,
		const double	max_T,
		const bool	log_history
	)

References SolveByIntegerSA().

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SolveByIntegerSA()

template<class ModelType >

IntegerSAResult openjij::sampler::SolveByIntegerSA	(	const ModelType &	model,
		const std::int64_t	num_sweeps,
		const algorithm::UpdateMethod	update_method,
		const algorithm::RandomNumberEngine	rand_type,
		const utility::TemperatureSchedule	schedule,
		const std::int64_t	seed,
		const double	min_T,
		const double	max_T,
		const bool	log_history
	)

References openjij::algorithm::HEAT_BATH, openjij::algorithm::METROPOLIS, openjij::algorithm::OPT_METROPOLIS, and openjij::algorithm::SUWA_TODO.

Referenced by SampleByIntegerSA().

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SolveByIntegerSAImpl()

template<class ModelType , class UpdaterType >

IntegerSAResult openjij::sampler::SolveByIntegerSAImpl	(	const ModelType &	model,
		const std::int64_t	num_sweeps,
		const algorithm::RandomNumberEngine	rand_type,
		const utility::TemperatureSchedule	schedule,
		const std::int64_t	seed,
		const double	min_T,
		const double	max_T,
		const bool	log_history
	)

References openjij::algorithm::MT, openjij::algorithm::MT_64, and openjij::algorithm::XORSHIFT.

Variable Documentation

__all__

list openjij.sampler.__all__

private

Initial value:

=  [
    "CSQASampler",
    "Response",
    "SASampler",
    "measure_time",
    "SQASampler",
]

__path__

openjij.sampler.__path__ = extend_path(__path__, __name__)

private