Abstract
Linear systems, as examined in the previous chapter, represent the simplest type of models. But linear models are often too simplistic from the process aspect. The setup of a linear model is often motivated by the fact that few characteristics, parameters or variables, of the system have been observed and that few data are available to check the model approach, whatever that may be. This chapter describes models slightly more complex than the linear ones. It is demonstrated that even simple nonlinear terms in the differential equation open the door to a much greater variety of phenomena than experienced by the work with linear systems.
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© 2012 Springer-Verlag Berlin Heidelberg
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Holzbecher, E. (2012). Nonlinear Systems. In: Environmental Modeling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22042-5_19
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DOI: https://doi.org/10.1007/978-3-642-22042-5_19
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