Class solver::SubstochasticMonteCarlo

Inheritance

solver::SteppingSolver

solver::SubstochasticMonteCarlo

solver::SSMCParameterFree

Inherited Members

clear_observable_label

restart

is_watching

scoped_observable_label

observe

Observer

render

set_observable_label

~ModelSolver

copy_lowest_state

copy_solutions

get_model_properties

update_lowest_cost

get_model_term_size

init_memory_check

count_solutions

copy_solutions

get_model

get_model_unconst

copy_solutions_other

ModelSolver

populate_solutions

max_replicas_adjusted_state

set_model

get_model_sweep_size

is_empty

get_lowest_cost

adjust_states

max_replicas_of_state

set_time_limit

get_result

copy_limits

~Solver

get_benchmark

get_max_threads

get_thread_count

Solver

fixed_step_per_tick

update_accumulated_info

handle_signals

run

current_steps

reset

get_cost_function_evaluation_count

SteppingSolver

get_solver_properties

status

get_seed

~SteppingSolver

get_runtime

seconds_per_step

set_output_parameter

set_output_parameter

param

get_output_parameters

~Component

Component

get_status

get_class_name

Constructors

SubstochasticMonteCarlo()

Declaration

solver::SubstochasticMonteCarlo<Model_T>::SubstochasticMonteCarlo()

SubstochasticMonteCarlo()

Declaration

solver::SubstochasticMonteCarlo<Model_T>::SubstochasticMonteCarlo(const SubstochasticMonteCarlo&)=delete

Methods

operator=()

Declaration

SubstochasticMonteCarlo&solver::SubstochasticMonteCarlo<Model_T>::operator=(const SubstochasticMonteCarlo&)=delete

get_identifier()

Identifier of this solver (target in the request)

Declaration

std::string solver::SubstochasticMonteCarlo<Model_T>::get_identifier() const override

init_memory_check_error_message()

Declaration

std::string solver::SubstochasticMonteCarlo<Model_T>::init_memory_check_error_message() const override

target_number_of_states()

Declaration

size_t solver::SubstochasticMonteCarlo<Model_T>::target_number_of_states() const override

init()

Initialize the solver.

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::init() override

make_step()

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::make_step(uint64_t step) override

make_walker_steps()

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::make_walker_steps(double alpha)

update_population_statistics()

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::update_population_statistics()

resample_population()

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::resample_population(double beta)

get_solutions()

Get the structured result description.

Declaration

utils::Structure solver::SubstochasticMonteCarlo<Model_T>::get_solutions() const override

configure()

Read the maximum number of steps from configuration.

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::configure(const utils::Json&json) override

finalize()

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::finalize() override

prepare_population()

prepare the population to size target_population

Note

This method is called to prepare population from current size to target_population

Declaration

void solver::SubstochasticMonteCarlo<Model_T>::prepare_population()