![]() Results obtained presented through graphics and in tabular form. Correlation dimension, which provides the dimensionality of a chaotic attractor discussed in detail and calculated for different systems. Regular and chaotic attractors emerging during the study are drawn and analyzed. ![]() The methodology to calculate these explained in details with exciting examples. Measure of chaos in terms of Lyapunov exponents and that of complexity as increase in topological entropies discussed. In the processes, some perfect indicator of regularity and chaos discussed with appropriate examples. Visualization of regularity and chaotic motion presented through bifurcation diagrams by varying a parameter of the system while keeping other parameters constant. Discrete as well as continuous dynamical systems both considered here. Chaotic phenomena and presence of complexity in various nonlinear dynamical systems extensively discussed in the context of recent researches.
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