bdm::experimental Namespace Reference

Classes
struct	Algorithm
	An interface for creating new optimization algorithms. More...
struct	AlgorithmRegistry
	Registry of all optimization algorithms. More...
class	CopyExecutionContext
struct	Counter
class	Database
class	DataTransformer
class	GenericReducer
class	LinearTransformer
class	LineGraph
struct	ParameterSweep
	Perform an exhaustive sweep across specified parameters. More...
struct	ParticleSwarm
struct	Reducer
class	Style
class	TimeSeries

Functions
template<typename T >
T	Reduce (Simulation *sim, Functor< void, Agent *, T * > &agent_functor, Functor< T, const SharedData< T > & > &reduce_partial_results, Functor< bool, Agent * > *filter=nullptr)
uint64_t	Count (Simulation *sim, Functor< bool, Agent * > &condition, Functor< bool, Agent * > *filter=nullptr)
Algorithm *	CreateOptimizationAlgorithm (OptimizationParam *opt_params)
	BDM_REGISTER_ALGO (ParameterSweep)
	BDM_REGISTER_ALGO (ParticleSwarm)
template<typename Lambda >
void	DynamicNestedLoop (const std::vector< OptimizationParamType * > &containers, const Lambda &action)
real_t	Experiment (Functor< void, Param *, TimeSeries * > &simulation, size_t iterations, const Param *param, TimeSeries *real_ts=nullptr, Functor< void, const std::vector< TimeSeries > &, const TimeSeries &, const TimeSeries & > *post_simulation=nullptr)

Function Documentation

BDM_REGISTER_ALGO() [1/2]

bdm::experimental::BDM_REGISTER_ALGO

(

ParameterSweep

)

BDM_REGISTER_ALGO() [2/2]

bdm::experimental::BDM_REGISTER_ALGO

(

ParticleSwarm

)

Count()

uint64_t bdm::experimental::Count ( Simulation *  sim, Functor< bool, Agent * > &  condition, Functor< bool, Agent * > *  filter = nullptr  )

inline

Counts the number of agents for which condition evaluates to true. Let's assume we want to count all infected agents in a virus spreading simulation.

auto is_infected = L2F([](Agent* a) {
  return bdm_static_cast<Person*>(a)->state_ == State::kInfected;
});
auto num_infected = Count(sim, is_infected));

The optional argument filter allows to count only a subset of all agents.
NB: For better performance consider using Counter instead.

Definition at line 317 of file reduce.h.

CreateOptimizationAlgorithm()

Algorithm* bdm::experimental::CreateOptimizationAlgorithm ( OptimizationParam *  opt_params )

inline

Definition at line 71 of file algorithm_registry.h.

DynamicNestedLoop()

template<typename Lambda >

void bdm::experimental::DynamicNestedLoop ( const std::vector< OptimizationParamType * > &  containers, const Lambda &  action  )

inline

Definition at line 30 of file dynamic_loop.h.

Experiment()

real_t bdm::experimental::Experiment ( Functor< void, Param *, TimeSeries * > &  simulation, size_t  iterations, const Param *  param, TimeSeries *  real_ts = nullptr, Functor< void, const std::vector< TimeSeries > &, const TimeSeries &, const TimeSeries & > *  post_simulation = nullptr  )

inline

Definition at line 36 of file experiment.h.

Reduce()

template<typename T >

T bdm::experimental::Reduce ( Simulation *  sim, Functor< void, Agent *, T * > &  agent_functor, Functor< T, const SharedData< T > & > &  reduce_partial_results, Functor< bool, Agent * > *  filter = nullptr  )

inline

Iterates over all agents executing the agent_functor and updating a a thread-local and therefore partial result. The second parameter specifies how these partial results should be combined into a single value. Let's assume we want to sum up the data attribute of all agents.

auto sum_data = L2F([](Agent* agent, uint64_t* tl_result) {
  *tl_result += bdm_static_cast<TestAgent*>(agent)->GetData();
});
SumReduction<uint64_t> combine_tl_results;
auto result = Reduce(sim, sum_data, combine_tl_results);

The optional argument filter allows to reduce only a subset of all agents.
NB: For better performance consider using GenericReducer instead.

Definition at line 183 of file reduce.h.