IMP::domino::CartesianProductSampler Class Reference

---

Detailed Description

CartesianProductSampler.

The class samples all combinations in a discrete set to particles. for example, in the case of anchor points each anchor point can be mapped to one particle for a specific mapping. For example, for anchor points [1,2,3,4,5] to particles [a,b,c,d] the sampling space would be: [1,1,1,1],[1,1,1,2],[1,1,1,3],[1,1,1,4],......,[5,5,5,4],[5,5,5,5]

Inheritance diagram for IMP::domino::CartesianProductSampler:

[legend]

Public Member Functions
	CartesianProductSampler (MappedDiscreteSet *ds, const Particles &ps)
	Create a combination sampler.
DiscreteSet *	get_space (Particle *p) const
virtual void	move2state (const CombState *cs)
void	populate_states_of_particles (Particles *particles, std::map< std::string, CombState * > *states) const
void	show (std::ostream &out=std::cout) const
Protected Attributes
MappedDiscreteSet *	ds_
Particles	ps_

---

Constructor & Destructor Documentation

IMP::domino::CartesianProductSampler::CartesianProductSampler	(	MappedDiscreteSet *	ds,
		const Particles &	ps
	)

Create a combination sampler.

Parameters:

[in]	ds	the discrete sampling space
[in]	ps	the sampled particles

---

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

• CartesianProductSampler.h
• domino/__init__.py