Generalized 1/k-ensemble algorithm.
We generalize the 1/k-ensemble algorithm so that it can be used for both discrete and continuous systems, and show that the generalization is correct numerically and mathematically. We also compare the efficiencies of the generalized 1/k-ensemble algorithm and the generalized Wang-Landau algorithm through a neural network example. The numerical results favor to the generalized 1/k-ensemble algorithm.
Liang
Faming
F
Department of Statistics, Texas A&M University, College Station, Texas 77843-3143, USA. fliang@stat.tamu.edu