A practical visual guide to identifying chaos in data
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A practical visual guide to identifying chaos in data
J. C. Sprott’s 507-page guide introduces chaos and time-series analysis with an emphasis on accessible concepts, keeping mathematics to a minimum while using more than 250 figures. It gathers roughly 50 commonly encountered chaotic systems and adds examples of simpler systems alongside applications. The practical component centers on methods for detecting chaos in experimental data, making the book useful as both a conceptual introduction and a reference for working with observed time series. Supplementary web material is also noted in the source description.
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