Function net_ensembles::sampling::glue_wl

pub fn glue_wl<WL, HIST, T>(
    list: &[WL],
    original_hist: &HIST
) -> Result<GlueResult<T>, GlueErrors>where
    WL: WangLandauHist<HIST>,
    HIST: Histogram + HistogramVal<T>,
    T: PartialOrd<T>,

Combine multiple WangLandau intervals to get the probability distribution of the whole interval

• list: slice of Wang landau distributions

Restrictions

• original_hist has to contain all the borders of the histograms. Meaning: The size of a bin has to be constant among all histograms of the list. If it is not, you might get an error, or you might get wrong results. I do not check for this exaustingly.
• There is an easy way to make sure, that you dont get problems here: Create the original_histfirst. Then create the other Histograms using theHistogramPartion` trait. This is the intended way. But as long as the borders and bin sizes match, this function will work properly

Understanding returned Parameters (OK(..)):