Table 1.

One iteration of the computer implementation of MD model [A].

[A1]	Compute ‘free-flight positions’ of heat bath particles and the large particle at time t+Δt by
	${\hat{x}}^i(t+\mathrm{\Delta }t)=x^i(t)+v^i(t)\hspace{0.17em}\mathrm{\Delta }t$ and $\hat{X}(t+\mathrm{\Delta }t)=X(t)+V(t)\hspace{0.17em}\mathrm{\Delta }t$.
[A2]	Compute post-collision velocities by (2.5) for every pair of particles which collided. Compute their post-collision positions xi(t+Δt) and X(t+Δt) by updating their ‘free-flight positions’ ${\hat{x}}^i(t+\mathrm{\Delta }t)$ and $\hat{X}(t+\mathrm{\Delta }t)$.
[A3]	Terminate trajectories of heat bath particles which left the domain [−L,L]. Update n accordingly.
[A4]	Generate a random number r1 uniformly distributed in (0,1).
	If r1<γ(μ+1)Δt/8, then increase n by 1, and introduce a new heat bath particle at a position sampled according to the probability distribution proportional to ϱ(x;Δt,−L). Its velocity is sampled according to the probability distribution proportional to H(−L−x+vΔt) fμ(v).
[A5]	Generate a random number r2 uniformly distributed in (0,1).
	If r2<γ(μ+1)Δt/8, then increase n by 1, and introduce a new heat bath particle at position xn(t+Δt) with velocity vn(t+Δt) which are sampled according to probability distributions (2.11) and (2.12).
[A6]	Continue with step [A1] using time t=t+Δt.