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Fitting on a single processor (single-cluster mode)

This is the most usual way you do fitting. It simply runs fitting without knowledge of CPUs available on the network.

The method fit('simplex', 'single-cluster') simply runs run_fitting_session() and monitor_fitting_session() one after another multiple times until the confidence intervals are converged: this is a mode for using just a single core, the one the MATLAB instance runs on.



For a specific usage see TotalFit.m