PEST & Parallel PEST

A model-independent, non-linear parameter estimator. The nonlinear parameter estimation algorithm used by PEST is uniquely robust and powerful having been developed for use with complex environmental models. The purpose of PEST is to assist in data interpretation, model calibration, and predictive analysis.

PEST is fully integrated into the GMS interface, allow you to perform advanced parameter estimation for MODFLOW models.

GMS allows you to run PEST in parallel on a single machine to take advantage of multiple cores. This can greatly speed up the PEST runs.

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