  Improved rates of convergence for ergodic Markov chains and relaxed
conditions for them, as well as analogous convergence results for some
non-homogeneous Markov chains are studied. The setting from the previous works
is extended. Examples are provided where the new bounds are better and where
they give the same convergence rate as in the classical Markov -- Dobrushin
inequality.
