A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.

Example

# extern crate mkv_chain;
# use mkv_chain::{MarkovChain3, linalg::{Matrix3, Vec3}};
# fn main() {
let t_mat = Matrix3::new(  // Transition Matrix
[[0.9, 0.0, 0.1],
[0.1, 0.3, 0.6],
[0.0, 0.1, 0.9]],
);
let initial = Vec3::new([0.1, 0.3, 0.6]); // Initial State
let mvc = MarkovChain3::from(t_mat, initial);
assert_eq!(
mvc.take_to(3),
Vec3::new([0.12250000000000001, 0.11130000000000001, 0.7662])
);
# }