Controls

1.50
20 tours/s
This visualizes one tour at a time as a branching population (PERM-like prune/clone). The statistics panel aggregates over tours.
Note: in the provided Python, weights w stay ~1 (no Rosenbluth bias), so prune/clone rarely triggers. This demo keeps the same behavior, but you can force more pruning/cloning by setting c_low close to 1 and c_high close to 1.

Visualization + Live Stats

history (faded) active chains cloned pruned
Tours completed
0
Current step n
0
Active chains
1
p_n (proxy)
⟨log R_n⟩
R_geom
Scaling reminders (asymptotic): if R_geom(n) ~ n^ν, then ν ≈ d⟨log R⟩/d log n. If p_n ~ μ^n n^{γ-1}, then A_n=log(p_n/p_{n-1}) ≈ log μ + (γ-1)/n.