 This is repeated until the sample size formula_6 is the same as formula_40.It is easy to see KLD–sampling culls redundant particles from the particle set, by only increasing formula_40 when a new location (bin) has been filled.In practice, KLD–sampling consistently outperforms and converges faster than classic MCL.