2014
DOI: 10.5120/14970-3157
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A Review on Natural Phenomenon of Fractal Geometry

Abstract: Today Fractal geometry is completely new area of research in the field of computer science and engineering. It has wide range of applications. Fractals in nature are so complicated and irregular that it is hopeless to model them by simply using classical geometry objects. Benoit Mandelbrot, the father of fractal geometry, from his book The Fractal Geometry of Nature, 1982. This paper explor various concepts of fractal i.e. fractal dimension, various techniques to generate fractal, their characteristics and the… Show more

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Cited by 4 publications
(4 citation statements)
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“…Let's consider other methods of mathematics: fractal geometry and graph theory [8][9][10][11]. The choice of mathematical methods depends on the specific technological process, the set research goal and the capabilities of the software.…”
Section: Mathematical Methods For Modeling Plant Objectsmentioning
confidence: 99%
“…Let's consider other methods of mathematics: fractal geometry and graph theory [8][9][10][11]. The choice of mathematical methods depends on the specific technological process, the set research goal and the capabilities of the software.…”
Section: Mathematical Methods For Modeling Plant Objectsmentioning
confidence: 99%
“…Today, fractal geometry is a completely new direction of computer science and engineering research. Its possibilities are numerous and are demonstrated by fractal modeling of objects of complex geometry in nature [1,6]. This article introduces the fractal dimension related to fractals, the different methods of creating fractals, their properties and their applications.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, if a function is f(y) and the initial value is y = x, then f(x), f(f(x)), f(f(f(x))), etc.That would have been the outcome. It could be possible that after each iteration it will give greater and greater value by iterating function(Negi et al, 2014).…”
mentioning
confidence: 99%
“…Fig.13. Comparison of cp1 and cp2 computation time onGPU CUDAFrom the table(2) and Fig (11), Fig(12), and Fig(13) …”
mentioning
confidence: 99%