Complex systems, a.k.a. dynamical systems, refer to mathematical models describing the time evolution of systems by means of equations of motion and initial values. It is the solutions rather than the systems, or the models of the systems, that display complex features. Examples of such features are various ordered processes and structures, such as nonlinear oscillations and waves, as well as disordered chaotic processes and fractal structures. The models are formulated in terms of coupled nonlinear differential equations or, in the discrete case, as iterated maps. Nonlinearity is essential and key concepts are bifurcations, sensitive dependence on initial values, attractors and chaos. There are applications to physics, biology, chemistry, engineering and other areas. The course deals with analytical and numerical methods for the analysis of nonlinear models based on a small number of independent variables.
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