MLMC: Multilevel Monte Carlo method

MLMC is a Python library for efficient uncertainty quantification using the multilevel Monte Carlo method.

It provides tools for: - Parallel sample scheduling - Generalized moment estimation - Probability density approximation - Advanced post-processing via the Quantity abstraction

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Installation

Install via pip:

pip install mlmc

Documentation

Tutorials and API reference are available below.