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Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

In geometry objects are often defined by explicit rules and transformations which can easily be translated into mathematical formulae. For example, a circle is the set of all points which are at a fixed distance r from a centre. In contrast to this, the objects of fractal geometry are usually given by a recursion. These fractal sets (fractals) have recently found many interesting applications, e.g., in computer graphics (modelling of clouds, plants, trees, landscapes), in image compression and data analysis. Furthermore, fractals have a certain importance in modelling growth processes.

Typical properties of fractals are often taken to be their non-integer dimension and the self-similarity of the entire set with its parts. The latter can frequently be found in nature, e.g. in geology. There it is often difficult to decide from a photo without a given scale whether the object in question is a grain of sand, a pebble or a large piece of rock. For that reason fractal geometry is often exuberantly called the geometry of nature.

In this chapter we exemplarily have a look at fractals in ℝ2 and ℂ. Furthermore, we give a short introduction to L-systems and discuss, as an application, a simple concept for modelling the growth of plants.

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Notes

  1. 1.

    H. von Koch, 1870–1924.

  2. 2.

    B. Mandelbrot, 1924–2010.

  3. 3.

    G. Julia, 1893–1978.

  4. 4.

    A. Lindenmayer, 1925–1989.

References

Further Reading

  1. M. Barnsley: Fractals Everywhere, Academic Press, Boston 1988.

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  2. J.P. Eckmann: Savez-vous résoudre z 3=1? La Recherche 14 (1983), 260–262.

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  3. H.-O. Peitgen, H. Jürgens, D. Saupe: Fractals for the Classroom. Part One: Introduction to Fractals and Chaos. Springer, New York 1992.

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  4. H.-O. Peitgen, H. Jürgens, D. Saupe: Fractals for the Classroom. Part Two: Complex Systems and Mandelbrot Set. Springer, New York 1992.

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Correspondence to Michael Oberguggenberger .

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© 2011 Springer-Verlag London Limited

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Oberguggenberger, M., Ostermann, A. (2011). Fractals and L-Systems. In: Analysis for Computer Scientists. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-0-85729-446-3_9

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  • DOI: https://doi.org/10.1007/978-0-85729-446-3_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-445-6

  • Online ISBN: 978-0-85729-446-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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