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In contrast with the static gradient adaption (Section 19.3) dynamic gradient adaption is a fully automated process. For time dependent and for steady state problems, you can perform the entire solution without changing the initial settings. That is, you can let the solver periodically perform adaptions without changing/entering any parameter.