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Chaos: A Very Short Introduction

By: Material type: TextTextSeries: Very short introductions, 159Publication details: Oxford ; New York Oxford University Press 2007Description: 180 pages : illustrations ; 18 cmISBN:
  • 9780192853783
Subject(s): DDC classification:
  • 003.857 SMI-C
Contents:
The emergence of chaos -- Exponential growth, nonlinearity, common sense -- Chaos in context : determinism, randomness, and noise -- Chaos in mathematical models -- Fractals, strange attractors, and dimension(s) -- Quantifying the dynamics of uncertainty -- Real numbers, real observations, and computers -- Sorry, wrong number : statistics and chaos -- Predictability : does chaos constrain our forecasts? -- Applied chaos : can we see through our models? -- Philosophy in chaos.
Summary: Chaos: A Very Short Introduction shows that we all have an intuitive understanding of chaotic systems. It uses accessible maths and physics (replacing complex equations with simple examples like pendulums, railway lines, and tossing coins) to explain the theory, and points to numerous examples in philosophy and literature (Edgar Allen Poe, Chang-Tzu, and Arthur Conan Doyle) that illuminate the problems. The beauty of fractal patterns and their relation to chaos, as well as the history of chaos, and its uses in the real world and implications for the philosophy of science are all discussed in this Very Short Introduction. Keywords: computer, dimensions, ensemble, exponential growth, infinitesimal, model, noise, series, statistics, time, transient
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 003.857 SMI-C (Browse shelf(Opens below)) Available DCB736

The emergence of chaos -- Exponential growth, nonlinearity, common sense -- Chaos in context : determinism, randomness, and noise -- Chaos in mathematical models -- Fractals, strange attractors, and dimension(s) -- Quantifying the dynamics of uncertainty -- Real numbers, real observations, and computers -- Sorry, wrong number : statistics and chaos -- Predictability : does chaos constrain our forecasts? -- Applied chaos : can we see through our models? -- Philosophy in chaos.

Chaos: A Very Short Introduction shows that we all have an intuitive understanding of chaotic systems. It uses accessible maths and physics (replacing complex equations with simple examples like pendulums, railway lines, and tossing coins) to explain the theory, and points to numerous examples in philosophy and literature (Edgar Allen Poe, Chang-Tzu, and Arthur Conan Doyle) that illuminate the problems. The beauty of fractal patterns and their relation to chaos, as well as the history of chaos, and its uses in the real world and implications for the philosophy of science are all discussed in this Very Short Introduction. Keywords: computer, dimensions, ensemble, exponential growth, infinitesimal, model, noise, series, statistics, time, transient

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