MultivariateRejectionSampler Class

class rocketpy.MultivariateRejectionSampler

Class that performs Multivariate Rejection Sampling (MRS) from MonteCarlo results.

The class currently assumes that all input variables are sampled independently when performing the Monte Carlo Simulation.

__init__(monte_carlo_filepath, mrs_filepath)

Initializes Multivariate Rejection Sampler (MRS) class

Parameters:

• monte_carlo_filepath (str) – Filepath prefixes to the files created from a MonteCarlo simulation results and used as input for resampling.

• mrs_filepath (str) – Filepath prefix to MRS obtained samples. The files created follow the same structure as those created by the MonteCarlo class but now containing the selected sub-samples.

Return type:

None

sample(distribution_dict)

Performs rejection sampling and saves data

Parameters:

distribution (dict) – Dictionary whose keys contain the name whose distribution changed. The values are tuples or lists with two entries. The first entry is a probability density (mass) function for the old distribution, while the second entry is the probability density function for the new distribution.

Return type:

None