viennashe::models::ssa_solver Class Reference

The SSA (Monte Carlo) solver for Markov-Chains The given chain is being referenced and the occupancies p_i of the states are being changed. The resp. occupancies can either be 1.0 (occupied) or 0 (unoccupied)! The solver additionally guarantees that sum_i p_i = 1.0, i.e. only one state is occupied at a time ! More...

#include <ssa.hpp>

Public Types
typedef viennashe::models::chain::index_type	index_type

Public Member Functions
	ssa_solver (viennashe::models::chain &c)
	CTOR. More...
double	delta_t () const
	Returns the last time step dt in seconds. More...
void	set_equilibrium (viennashe::math::rand_generator_base< double > &rnd)
	Sets the equilibrium occupancies. More...
double	solve (viennashe::math::rand_generator_base< double > &rnd)
	Determines the time until the next transition event and advances the system to this state. More...
viennashe::models::chain const &	chain () const

Detailed Description

The SSA (Monte Carlo) solver for Markov-Chains The given chain is being referenced and the occupancies p_i of the states are being changed. The resp. occupancies can either be 1.0 (occupied) or 0 (unoccupied)! The solver additionally guarantees that sum_i p_i = 1.0, i.e. only one state is occupied at a time !

Definition at line 44 of file ssa.hpp.

Member Typedef Documentation

index_type

typedef viennashe::models::chain::index_type viennashe::models::ssa_solver::index_type

Definition at line 47 of file ssa.hpp.

Constructor & Destructor Documentation

ssa_solver()

viennashe::models::ssa_solver::ssa_solver ( viennashe::models::chain &  c )

inline

CTOR.

Definition at line 50 of file ssa.hpp.

Member Function Documentation

chain()

viennashe::models::chain const & viennashe::models::ssa_solver::chain ( ) const

inline

Definition at line 132 of file ssa.hpp.

delta_t()

double viennashe::models::ssa_solver::delta_t ( ) const

inline

Returns the last time step dt in seconds.

Definition at line 53 of file ssa.hpp.

set_equilibrium()

void viennashe::models::ssa_solver::set_equilibrium ( viennashe::math::rand_generator_base< double > &  rnd )

inline

Sets the equilibrium occupancies.

Parameters

rnd	A (pseudo-) random number generator

Definition at line 59 of file ssa.hpp.

solve()

double viennashe::models::ssa_solver::solve ( viennashe::math::rand_generator_base< double > &  rnd )

inline

Determines the time until the next transition event and advances the system to this state.

Parameters

rnd	A (pseudo-) random number generator

Returns

The time (delta t) until the next event. The internal state of the chain is being changed.

Definition at line 88 of file ssa.hpp.

---

The documentation for this class was generated from the following file:

• viennashe/models/markovchain/ssa.hpp