.. _method-bayes_calibration-muq-multilevel_mcmc-greedy_resampling_factor: """""""""""""""""""""""" greedy_resampling_factor """""""""""""""""""""""" Greedy resampling factor **Topics** bayesian_calibration .. toctree:: :hidden: :maxdepth: 1 **Specification** - *Alias:* None - *Arguments:* REAL - *Default:* 0.5 **Description** MUQ's greedy algorithm frequently recomputes variance at each level. The ``greedy_resampling_factor`` sets the fraction of samples to reuse before computing. *Default Behavior* Defaults to 0.5. **Examples** .. code-block:: method, bayes_calibration muq multilevel_mcmc initial_chain_samples = 50 target_variance = 0.5 subsampling_steps = 12 0 greedy_resampling_factor = 0.5