A novel termination criterion for optimization

A novel method for identification of steady state is demonstrated as the termination criterion for the optimization stage of modeling empirical data. The method is computationally efficient, robust and provides advantages over existing methods. It is described, and its utility is demonstrated on modeling simulated data.