class WLTM : public feasst::Bias

Begin with WangLandau and end with TransitionMatrix.

Public Functions

WLTM(const argtype &args = argtype())


  • collect_flatness: Begin populating the collection matrix when Wang-Landau has completed this many flatness checks. Note that populating the collection matrix does not necessarily mean that the collection matrix is used to compute the bias.

  • min_flatness: After this many flatness checks have been completed with Wang-Landau, use the bias from the collection matrix instead. Also, increment the phase when this occurs.

  • min_sweeps: Number of sweeps required for completion.

void update_or_revert(const int macrostate_old, const int macrostate_new, const double ln_metropolis_prob, const bool is_accepted, const bool revert)

Update the bias due to an attempted transition.

void set_num_iterations(const int sweeps)

Updates min_sweeps, but neither flatness.

const LnProbability &ln_prob() const

The natural log of the macrostate probability.

void infrequent_update()

Perform an infrequent update to the bias.

void set_ln_prob(const LnProbability &ln_prob)

Set the macrostate probability distribution.