Class markov::Transition

Base class for a markov transition.

A transition describes a proposed move from the current to the next state. Depending on the algorithm, this move might be conditionally accepted, in which case the algorithm invokes apply_transition(transition, &state) on the model.

Note

When deciding how to represent your transition, try to envision the minimum amount of information required for apply_transition to do its work. This is typically also what calculate_cost_difference needs to efficiently calculate the resulting change in cost for a transition. markov::State

markov::Model::apply_transition

markov::Model::calculate_cost_difference