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Pietronero argues that the universe shows a definite fractal aspect over a fairly wide range of scale, with a fractal dimension of about 2. [3] The fractal dimension of a homogeneous 3D object would be 3, and 2 for a homogeneous surface, whilst the fractal dimension for a fractal surface is between 2 and 3.
Fractal branching of trees. Fractal analysis is assessing fractal characteristics of data.It consists of several methods to assign a fractal dimension and other fractal characteristics to a dataset which may be a theoretical dataset, or a pattern or signal extracted from phenomena including topography, [1] natural geometric objects, ecology and aquatic sciences, [2] sound, market fluctuations ...
It studies questions such as "how does heat diffuse in a fractal?" and "How does a fractal vibrate?" In the smooth case the operator that occurs most often in the equations modelling these questions is the Laplacian , so the starting point for the theory of analysis on fractals is to define a Laplacian on fractals.
The structure shown is made of 4 generator units and is iterated 3 times. The fractal dimension for the theoretical structure is log 50/log 10 = 1.6990. Images generated with Fractal Generator for ImageJ [23]. Generator for 50 Segment Fractal. 1.7227: Pinwheel fractal: Built with Conway's Pinwheel tile.
Research papers from more than 55 disciplines Free & Subscription No Elsevier: HAL: Multidisciplinary: 760,000 (2,000,000 metadata) [14] An open-access database for French researchers. Organized into institution and domain portals. Free Yes CNRS's Centre pour la Communication Scientifique Directe (CCSD) RePEc: Research Papers in Economics [15 ...
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The Koch snowflake (also known as the Koch curve, Koch star, or Koch island [1] [2]) is a fractal curve and one of the earliest fractals to have been described. It is based on the Koch curve, which appeared in a 1904 paper titled "On a Continuous Curve Without Tangents, Constructible from Elementary Geometry" [3] by the Swedish mathematician Helge von Koch.
The fractal, self-similar nature of the spectrum was discovered in the 1976 Ph.D. work of Douglas Hofstadter [1] and is one of the early examples of modern scientific data visualization. The name reflects the fact that, as Hofstadter wrote, "the large gaps [in the graph] form a very striking pattern somewhat resembling a butterfly."