Trait sampling::wang_landau::WangLandau

pub trait WangLandau {
    // Required methods
    fn log_f(&self) -> f64;
    fn log_f_threshold(&self) -> f64;
    fn set_log_f_threshold(
        &mut self,
        log_f_threshold: f64
    ) -> Result<f64, WangLandauErrors>;
    fn log_density(&self) -> &Vec<f64>;
    fn write_log<W: Write>(&self, writer: W) -> Result<(), Error>;
    fn mode(&self) -> WangLandauMode;
    fn step_counter(&self) -> usize;
    fn total_steps_accepted(&self) -> usize;
    fn total_steps_rejected(&self) -> usize;

    // Provided methods
    fn is_finished(&self) -> bool { ... }
    fn log_density_base10(&self) -> Vec<f64> { ... }
    fn log_density_base(&self, base: f64) -> Vec<f64> { ... }
    fn steps_total(&self) -> usize { ... }
    fn fraction_accepted_total(&self) -> f64 { ... }
    fn fraction_rejected_total(&self) -> f64 { ... }
}

Traits for quantities that all Wang Landau simulations have

• see also: WangLandauHist
• this trait is for convinience, so that you do not have to write all the trait bounds of, e.g., WangLandauHist, if you are not using functuinality, that requires it

Required Methods

fn log_f(&self) -> f64

get current value of log_f

fn log_f_threshold(&self) -> f64

returns currently set threshold for log_f

fn set_log_f_threshold( &mut self, log_f_threshold: f64 ) -> Result<f64, WangLandauErrors>

Try to set the threshold.

• log_f_threshold > 0.0 has to be true
• log_f_threshold has to be finite

fn log_density(&self) -> &Vec<f64>

Current (non normalized) estimate of ln(P(E))

• i.e., of the natural logarithm of the probability density function for the requested interval
• this is what we are doing the simulations for

fn write_log<W: Write>(&self, writer: W) -> Result<(), Error>

Writes Information about the simulation to a file. E.g. How many steps were performed.

fn mode(&self) -> WangLandauMode

Returns current wang landau mode

• see WangLandauMode for an explaination

fn step_counter(&self) -> usize

Counter

• how many wang Landau steps were performed until now?
• this does not include steps, that were perfored to find a inital valid ensemble

fn total_steps_accepted(&self) -> usize

How many steps were accepted until now?

• this includes steps, that were perfored to find a inital valid ensemble

fn total_steps_rejected(&self) -> usize

How many steps were rejected until now?

• this includes steps, that were perfored to find a inital valid ensemble

Provided Methods

fn is_finished(&self) -> bool

Checks wang landau threshold

• log_f <= log_f_threshold

fn log_density_base10(&self) -> Vec<f64>

Current (non normalized) estimate of log10(P(E))

• i.e., of logarithm with base 10 of the probability density function for the requested interval
• this is what we are doing the simulations for

fn log_density_base(&self, base: f64) -> Vec<f64>

Current (non normalized) estimate of log_base(P(E))

• i.e., of logarithm with arbitrary base of the probability density function for the requested interval
• this is what we are doing the simulations for

fn steps_total(&self) -> usize

Counter

• how many wang Landau steps were performed until now?
• this includes steps, that were perfored to find a inital valid ensemble

fn fraction_accepted_total(&self) -> f64

Calculate, which fraction of steps were accepted

• this includes steps, that were perfored to find a inital valid ensemble
• if no steps were performed, it returns f64::NAN

fn fraction_rejected_total(&self) -> f64

Calculate, which fraction of steps were rejected

• this includes steps, that were perfored to find a inital valid ensemble
• if no steps were performed, it returns f64::NAN

Object Safety

This trait is not object safe.

Implementors

impl<Hist, R, E, S, Res, Energy> WangLandau for WangLandau1T<Hist, R, E, S, Res, Energy>

impl<R, E, S, Res, Hist, Energy> WangLandau for WangLandauAdaptive<Hist, R, E, S, Res, Energy>