Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).
Python package and open direction-number data for high-dimensional Sobol’ sequences, including the 50,000-dimensional tkrg-a-ap5 set for quasi-Monte Carlo simulation.