Fractalize That! : A Visual Essay On Statistical Geometry

- A Visual Essay on Statistical Geometry

af

indgår i serie Fractals and Dynamics in Mathematics Science and the Arts Theory and Applications


Fractalize That! : A Visual Essay On Statistical Geometry
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  • Forventet levering 31-05-2021
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Format:
Bog, hardback
Udgivelsesdato:
24-01-2019
Sprog:
Engelsk
Sidetal:
110
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Fractalize That! A Visual Essay on Statistical Geometry brings a new class of geometric fractals to a wider audience of mathematicians and scientists. It describes a recently discovered random fractal space-filling algorithm. Connections with tessellations and known fractals such as Sierpinski are developed. And, the mathematical development is illustrated by a large number of colorful images that will charm the readers.The algorithm claims to be universal in scope, in that it can fill any spatial region with smaller and smaller fill regions of any shape. The filling is complete in the limit of an infinite number of fill regions. This book presents a descriptive development of the subject using the traditional shapes of geometry such as discs, squares, and triangles. It contains a detailed mathematical treatment of all that is currently known about the algorithm, as well as a chapter on software implementation of the algorithm.The mathematician will find a wealth of interesting conjectures supported by numerical computation. Physicists are offered a model looking for an application. The patterns generated are often quite interesting as abstract art. Readers can also create these computer-generated art with the advice and examples provided.

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Udgivelsesdato:
24-01-2019
ISBN13:
9789813275164
Vægt:
594 g
Dybde:
11 mm
Bredde:
221 mm
Højde:
286 mm
Nummer i serien:
3
Format:
Hardback
Forfattere
Bibliotekernes beskrivelse The book describes a recently discovered random fractal space-filling algorithm beginning with tessellations and Sierpinski, illustrating the relationship to statistical geometry and bringing together all that is known about it to a wider audience of mathematicians and scientists.

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