What options are available in PEST for improving its performance in the face of bad model derivatives?
PEST provides the following options for improving its performance in the face of problematical model derivatives. • Optional use of a five point, minimum error variance, finite-difference derivatives stencil. • “Split slope analysis” in which finite differences that are suspected of contamination by bad model numerical performance are rejected (see the SPLITTHRESH, SPLITRELDIFF and SPLITACTION control variables). • A version of its “automatic user intervention” functionality in which parameters with large (and therefore possibly wayward”) derivatives are ignored during a particular optimization iteration.
Related Questions
- What steps can I take to improve model performance in order to ameliorate problems with bad derivatives?
- What options are available in PEST for improving its performance in the face of bad model derivatives?
- What options are available to me if a model’s derivatives are so bad that PEST simply will not work?
