Fractal patterns in nonlinear dynamics and applications / Santo Banerjee, MK Hassan, Sayan Mukherjee, A Gowrisankar.

By: Banerjee, Santo, 1976- [author.]Contributor(s): Hassan, M. K. (Md. Kamrul) [author.] | Mukherjee, Sayan [author.] | Gowrisankar, A. (Arulprakash) [author.]Material type: TextTextPublisher: Boca Raton, FL : CRC Press, [2020]Description: 1 online resource : illustrations (colour)Content type: text Media type: computer Carrier type: online resourceISBN: 9781351647625; 1351647628; 9781498741361; 1498741363; 9781315151564; 1315151561; 9781351638098; 1351638092Subject(s): Fractals | MATHEMATICS / Applied | MATHEMATICS / Differential Equations | MATHEMATICS / Geometry / GeneralDDC classification: 514.742 LOC classification: QA614.86 | .B35 2020ebOnline resources: Taylor & Francis | OCLC metadata license agreement Summary: Most books on fractals focus on deterministic fractals as the impact of incorporating randomness and time is almost absent. Further, most review fractals without explaining what scaling and self-similarity means. This book introduces the idea of scaling, self-similarity, scale-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which evolves with time instead of scale-free self-similarity, are discussed. Moreover, it looks at power laws and dynamic scaling laws in some detail and provides an overview of modern statistical tools for calculating fractal dimension and multifractal spectrum.
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Most books on fractals focus on deterministic fractals as the impact of incorporating randomness and time is almost absent. Further, most review fractals without explaining what scaling and self-similarity means. This book introduces the idea of scaling, self-similarity, scale-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which evolves with time instead of scale-free self-similarity, are discussed. Moreover, it looks at power laws and dynamic scaling laws in some detail and provides an overview of modern statistical tools for calculating fractal dimension and multifractal spectrum.

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