Multicanonical ensemble

In statistics and physics, multicanonical ensemble (also called multicanonical sampling or flat histogram) is a Markov chain Monte Carlo sampling technique that uses the Metropolis–Hastings algorithm to compute integrals where the integrand has a rough landscape with multiple local minima. It samples states according to the inverse of the density of states,[1] which has to be known a priori or be computed using other techniques like the Wang and Landau algorithm.[2] Multicanonical sampling is an important technique for spin systems like the Ising model or spin glasses.[1][3][4]

  1. ^ a b Cite error: The named reference Berg was invoked but never defined (see the help page).
  2. ^ Cite error: The named reference Landau was invoked but never defined (see the help page).
  3. ^ Cite error: The named reference Newmann was invoked but never defined (see the help page).
  4. ^ Cite error: The named reference Dayal was invoked but never defined (see the help page).