Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments
12 Regression Convergence Criteria
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Optimizers iteratively move the trial solution toward the optimum. It is likely that no iteration will jump exactly on the optimum, but, hopefully, each iteration gets closer to the optimum. Once close enough to the optimum there is no sense in trying to get closer. The optimizer should stop when the transient state (TS) is close enough to the optimum. Seeking infinite digit perfection is usually not justified.