WLTM
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class WLTM : public feasst::Bias
Begin with WangLandau and end with TransitionMatrix.
Public Functions
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void update(const int macrostate_old, const int macrostate_new, const double ln_metropolis_prob, const bool is_accepted, const bool is_endpoint, const Macrostate ¯o)
Update only.
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int num_iterations_to_complete() const
Updates min_sweeps, but neither flatness.
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void set_num_iterations_to_complete(const int iteration)
Set the number of iterations required for completion.
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const LnProbability &ln_prob() const
The natural log of the macrostate probability.
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void infrequent_update(const Macrostate ¯o)
Perform an infrequent update to the bias.
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void set_ln_prob(const LnProbability &ln_prob)
Set the macrostate probability distribution.
Arguments
WangLandau arguments.
TransitionMatrix arguments.
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_collect_sweeps: In addition to WangLandau::min_flatness, do not use TransitionMatrix as bias until it has this minimum number of sweeps. If -1, do nothing (default: -1).
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void update(const int macrostate_old, const int macrostate_new, const double ln_metropolis_prob, const bool is_accepted, const bool is_endpoint, const Macrostate ¯o)