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Use of nonlinear parameter estimation techniques allows you to exercise greater control over model calibration and/or data interpretation. More
complex parameterizations are possible than would even be considered under a manual calibration regime. Yet PEST can clearly indicate where further complexity is non-sustainable, given the current dataset. Contrast
this with the manual calibration process where the modeler simply "gives up" when he/she no longer has the strength or the time to carry out yet another model run.
PEST is powerful! It has successfully calibrated models with hundreds of parameters on the basis of thousands of observations. Yet it is easy to
use. No programming is required to interface an existing model with PEST because PEST communicates with a model through the model's own input and output files. The flexibility engendered through this approach allows
ingenious calibration methodologies to be developed, for the "model" can actually be a batch file running many programs in succession. PEST can communicate with some or all of these individual programs.
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