Following a work of Yorke and Li in 1975, the idea of discrete dynamical systems and difference equations developed quickly. The applying difference equations also increased quickly, particularly with the development of graphical-interface software that may plot trajectories, calculate Lyapunov exponents, plot bifurcation diagrams, and discover basins of attraction. Continue reading “Discrete Dynamical Systems and Difference Equations with Mathematica”
For computer scientists, especially individuals within the security field, using chaos continues to be restricted to the computation of the small assortment of famous but unacceptable maps that provide no explanation of why chaos is pertinent within the considered contexts. Discrete Dynamical Systems and Chaotic Machines: Theory and Applications shows steps to make finite machines, for example computers, neural systems, and wireless sensor systems, work chaotically as defined inside a rigorous mathematical framework. Considering these machines must interact within the real life, the authors share their research results around the behaviors of discrete dynamical systems as well as their use within information technology.
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