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Fractal 3D Magic Free
FREE FRACTAL 3D MAGIC PDF Clifford A. Pickover | 160 pages | 07 Sep 2014 | Sterling Publishing Co Inc | 9781454912637 | English | New York, United States Fractal 3D Magic | Banyen Books & Sound Option 1 Usually ships in business days. Option 2 - Most Popular! This groundbreaking 3D showcase offers a rare glimpse into the dazzling world of computer-generated fractal art. Prolific polymath Clifford Pickover introduces the collection, which provides background on everything from Fractal 3D Magic classic Mandelbrot set, to the infinitely porous Menger Sponge, to ethereal fractal flames. The following eye-popping gallery displays mathematical formulas transformed into stunning computer-generated 3D anaglyphs. More than intricate designs, visible in three dimensions thanks to Fractal 3D Magic enclosed 3D glasses, will engross math and optical illusions enthusiasts alike. If an item you have purchased from us is not working as expected, please visit one of our in-store Knowledge Experts for free help, where they can solve your problem or even exchange the item for a product that better suits your needs. If you need to return an item, simply bring it back to any Micro Center store for Fractal 3D Magic full refund or exchange. All other products may be returned within 30 days of purchase. Using the software may require the use of a computer or other device that must meet minimum system requirements. It is recommended that you familiarize Fractal 3D Magic with the system requirements before making your purchase. Software system requirements are typically found on the Product information specification page. Aerial Drones Micro Center is happy to honor its customary day return policy for Aerial Drone returns due to product defect or customer dissatisfaction. -
The Oxford Democrat
The Oxford Democrat. NUMBER 24 VOLUME 80. SOUTH PARIS, MAINE, TUESDAY, JUNE 17, 1913. where hit the oat "Hear Hear The drearily. "That's you look out for that end of the business. to an extent. low Voted Out the Saloons called ye! ye! poll· D. *ΆΚΚ. increase the aupply quite They he said. on | are now closed." Everyone drew a aigb nail on the head," "Mouey. ▲11 I want you to do 1b to pass this AMONG THE FARMERS. Some Kansas experiment· show an in- The following extract from λ lettei Auctioneer, DON'T HURRY OR WORRY of and went borne to aopper, ex- the mean and dirty thing that can here note." Lictjnsed crease after a crop of clover was turned 'rom Mrs. Benj. H. Fiab of Santa Bar relief, — who ate theirs world—that's «"»«· At Meals Follows. TH* cept tbe election board, the best man In the "Colonel Tod hunter," replied tlie »IU>. Dyspepsia "SPKED PLOW." under. The yield of corn was Increased >ara, Calif., may be of interest bott whip âû0TH and oat of pail· and boxes, and afterwards Thurs." "the Indorsement and the col- Moderate- 20 bushel· an acre, oats 10 bushels, rom the temperance and tbe suffrage Colonel the trouble. banker, Tera» I went to A serene mental condition and time began counting votes. aleep other man's mon- a Correspondence on practical agricultural topics potatoes 30 bushel*. itand point. "Ifs generally the lateral make this note good, and it's to chow your food is more la bearing them count. thoroughly aollcHed. -
Rendering Hypercomplex Fractals Anthony Atella [email protected]
Rhode Island College Digital Commons @ RIC Honors Projects Overview Honors Projects 2018 Rendering Hypercomplex Fractals Anthony Atella [email protected] Follow this and additional works at: https://digitalcommons.ric.edu/honors_projects Part of the Computer Sciences Commons, and the Other Mathematics Commons Recommended Citation Atella, Anthony, "Rendering Hypercomplex Fractals" (2018). Honors Projects Overview. 136. https://digitalcommons.ric.edu/honors_projects/136 This Honors is brought to you for free and open access by the Honors Projects at Digital Commons @ RIC. It has been accepted for inclusion in Honors Projects Overview by an authorized administrator of Digital Commons @ RIC. For more information, please contact [email protected]. Rendering Hypercomplex Fractals by Anthony Atella An Honors Project Submitted in Partial Fulfillment of the Requirements for Honors in The Department of Mathematics and Computer Science The School of Arts and Sciences Rhode Island College 2018 Abstract Fractal mathematics and geometry are useful for applications in science, engineering, and art, but acquiring the tools to explore and graph fractals can be frustrating. Tools available online have limited fractals, rendering methods, and shaders. They often fail to abstract these concepts in a reusable way. This means that multiple programs and interfaces must be learned and used to fully explore the topic. Chaos is an abstract fractal geometry rendering program created to solve this problem. This application builds off previous work done by myself and others [1] to create an extensible, abstract solution to rendering fractals. This paper covers what fractals are, how they are rendered and colored, implementation, issues that were encountered, and finally planned future improvements. -
Generating Fractals Using Complex Functions
Generating Fractals Using Complex Functions Avery Wengler and Eric Wasser What is a Fractal? ● Fractals are infinitely complex patterns that are self-similar across different scales. ● Created by repeating simple processes over and over in a feedback loop. ● Often represented on the complex plane as 2-dimensional images Where do we find fractals? Fractals in Nature Lungs Neurons from the Oak Tree human cortex Regardless of scale, these patterns are all formed by repeating a simple branching process. Geometric Fractals “A rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole.” Mandelbrot (1983) The Sierpinski Triangle Algebraic Fractals ● Fractals created by repeatedly calculating a simple equation over and over. ● Were discovered later because computers were needed to explore them ● Examples: ○ Mandelbrot Set ○ Julia Set ○ Burning Ship Fractal Mandelbrot Set ● Benoit Mandelbrot discovered this set in 1980, shortly after the invention of the personal computer 2 ● zn+1=zn + c ● That is, a complex number c is part of the Mandelbrot set if, when starting with z0 = 0 and applying the iteration repeatedly, the absolute value of zn remains bounded however large n gets. Animation based on a static number of iterations per pixel. The Mandelbrot set is the complex numbers c for which the sequence ( c, c² + c, (c²+c)² + c, ((c²+c)²+c)² + c, (((c²+c)²+c)²+c)² + c, ...) does not approach infinity. Julia Set ● Closely related to the Mandelbrot fractal ● Complementary to the Fatou Set Featherino Fractal Newton’s method for the roots of a real valued function Burning Ship Fractal z2 Mandelbrot Render Generic Mandelbrot set. -
Sphere Tracing, Distance Fields, and Fractals Alexander Simes
Sphere Tracing, Distance Fields, and Fractals Alexander Simes Advisor: Angus Forbes Secondary: Andrew Johnson Fall 2014 - 654108177 Figure 1: Sphere Traced images of Menger Cubes and Mandelboxes shaded by ambient occlusion approximation on the left and Blinn-Phong with shadows on the right Abstract Methods to realistically display complex surfaces which are not practical to visualize using traditional techniques are presented. Additionally an application is presented which is capable of utilizing some of these techniques in real time. Properties of these surfaces and their implications to a real time application are discussed. Table of Contents 1 Introduction 3 2 Minimal CPU Sphere Tracing Model 4 2.1 Camera Model 4 2.2 Marching with Distance Fields Introduction 5 2.3 Ambient Occlusion Approximation 6 3 Distance Fields 9 3.1 Signed Sphere 9 3.2 Unsigned Box 9 3.3 Distance Field Operations 10 4 Blinn-Phong Shadow Sphere Tracing Model 11 4.1 Scene Composition 11 4.2 Maximum Marching Iteration Limitation 12 4.3 Surface Normals 12 4.4 Blinn-Phong Shading 13 4.5 Hard Shadows 14 4.6 Translation to GPU 14 5 Menger Cube 15 5.1 Introduction 15 5.2 Iterative Definition 16 6 Mandelbox 18 6.1 Introduction 18 6.2 boxFold() 19 6.3 sphereFold() 19 6.4 Scale and Translate 20 6.5 Distance Function 20 6.6 Computational Efficiency 20 7 Conclusion 2 1 Introduction Sphere Tracing is a rendering technique for visualizing surfaces using geometric distance. Typically surfaces applicable to Sphere Tracing have no explicit geometry and are implicitly defined by a distance field. -
Computer-Generated Music Through Fractals and Genetic Theory
Ouachita Baptist University Scholarly Commons @ Ouachita Honors Theses Carl Goodson Honors Program 2000 MasterPiece: Computer-generated Music through Fractals and Genetic Theory Amanda Broyles Ouachita Baptist University Follow this and additional works at: https://scholarlycommons.obu.edu/honors_theses Part of the Artificial Intelligence and Robotics Commons, Music Commons, and the Programming Languages and Compilers Commons Recommended Citation Broyles, Amanda, "MasterPiece: Computer-generated Music through Fractals and Genetic Theory" (2000). Honors Theses. 91. https://scholarlycommons.obu.edu/honors_theses/91 This Thesis is brought to you for free and open access by the Carl Goodson Honors Program at Scholarly Commons @ Ouachita. It has been accepted for inclusion in Honors Theses by an authorized administrator of Scholarly Commons @ Ouachita. For more information, please contact [email protected]. D MasterPiece: Computer-generated ~1usic through Fractals and Genetic Theory Amanda Broyles 15 April 2000 Contents 1 Introduction 3 2 Previous Examples of Computer-generated Music 3 3 Genetic Theory 4 3.1 Genetic Algorithms . 4 3.2 Ylodified Genetic Theory . 5 4 Fractals 6 4.1 Cantor's Dust and Fractal Dimensions 6 4.2 Koch Curve . 7 4.3 The Classic Example and Evrrvday Life 7 5 MasterPiece 8 5.1 Introduction . 8 5.2 In Detail . 9 6 Analysis 14 6.1 Analysis of Purpose . 14 6.2 Analysis of a Piece 14 7 Improvements 15 8 Conclusion 16 1 A Prelude2.txt 17 B Read.cc 21 c MasterPiece.cc 24 D Write.cc 32 E Temp.txt 35 F Ternpout. txt 36 G Tempoutmid. txt 37 H Untitledl 39 2 Abstract A wide variety of computer-generated music exists. -
Herramientas Para Construir Mundos Vida Artificial I
HERRAMIENTAS PARA CONSTRUIR MUNDOS VIDA ARTIFICIAL I Á E G B s un libro de texto sobre temas que explico habitualmente en las asignaturas Vida Artificial y Computación Evolutiva, de la carrera Ingeniería de Iistemas; compilado de una manera personal, pues lo Eoriento a explicar herramientas conocidas de matemáticas y computación que sirven para crear complejidad, y añado experiencias propias y de mis estudiantes. Las herramientas que se explican en el libro son: Realimentación: al conectar las salidas de un sistema para que afecten a sus propias entradas se producen bucles de realimentación que cambian por completo el comportamiento del sistema. Fractales: son objetos matemáticos de muy alta complejidad aparente, pero cuyo algoritmo subyacente es muy simple. Caos: sistemas dinámicos cuyo algoritmo es determinista y perfectamen- te conocido pero que, a pesar de ello, su comportamiento futuro no se puede predecir. Leyes de potencias: sistemas que producen eventos con una distribución de probabilidad de cola gruesa, donde típicamente un 20% de los eventos contribuyen en un 80% al fenómeno bajo estudio. Estos cuatro conceptos (realimentaciones, fractales, caos y leyes de po- tencia) están fuertemente asociados entre sí, y son los generadores básicos de complejidad. Algoritmos evolutivos: si un sistema alcanza la complejidad suficiente (usando las herramientas anteriores) para ser capaz de sacar copias de sí mismo, entonces es inevitable que también aparezca la evolución. Teoría de juegos: solo se da una introducción suficiente para entender que la cooperación entre individuos puede emerger incluso cuando las inte- racciones entre ellos se dan en términos competitivos. Autómatas celulares: cuando hay una población de individuos similares que cooperan entre sí comunicándose localmente, en- tonces emergen fenómenos a nivel social, que son mucho más complejos todavía, como la capacidad de cómputo universal y la capacidad de autocopia. -
Analysis of the Fractal Structures for the Information Encrypting Process
INTERNATIONAL JOURNAL OF COMPUTERS Issue 4, Volume 6, 2012 Analysis of the Fractal Structures for the Information Encrypting Process Ivo Motýl, Roman Jašek, Pavel Vařacha The aim of this study was describe to using fractal geometry Abstract— This article is focused on the analysis of the fractal structures for securing information inside of the information structures for purpose of encrypting information. For this purpose system. were used principles of fractal orbits on the fractal structures. The algorithm here uses a wide range of the fractal sets and the speed of its generation. The system is based on polynomial fractal sets, II. PROBLEM SOLUTION specifically on the Mandelbrot set. In the research were used also Bird of Prey fractal, Julia sets, 4Th Degree Multibrot, Burning Ship Using of fractal geometry for the encryption is an alternative to and Water plane fractals. commonly solutions based on classical mathematical principles. For proper function of the process is necessary to Keywords—Fractal, fractal geometry, information system, ensure the following points: security, information security, authentication, protection, fractal set Generate fractal structure with appropriate parameters I. INTRODUCTION for a given application nformation systems are undoubtedly indispensable entity in Analyze the fractal structure and determine the ability Imodern society. [7] to handle a specific amount of information There are many definitions and methods for their separation use of fractal orbits to alphabet mapping and classification. These systems are located in almost all areas of human activity, such as education, health, industry, A. Principle of the Fractal Analysis in the Encryption defense and many others. Close links with the life of our Process information systems brings greater efficiency of human endeavor, which allows cooperation of man and machine. -
Fractal-Bits
fractal-bits Claude Heiland-Allen 2012{2019 Contents 1 buddhabrot/bb.c . 3 2 buddhabrot/bbcolourizelayers.c . 10 3 buddhabrot/bbrender.c . 18 4 buddhabrot/bbrenderlayers.c . 26 5 buddhabrot/bound-2.c . 33 6 buddhabrot/bound-2.gnuplot . 34 7 buddhabrot/bound.c . 35 8 buddhabrot/bs.c . 36 9 buddhabrot/bscolourizelayers.c . 37 10 buddhabrot/bsrenderlayers.c . 45 11 buddhabrot/cusp.c . 50 12 buddhabrot/expectmu.c . 51 13 buddhabrot/histogram.c . 57 14 buddhabrot/Makefile . 58 15 buddhabrot/spectrum.ppm . 59 16 buddhabrot/tip.c . 59 17 burning-ship-series-approximation/BossaNova2.cxx . 60 18 burning-ship-series-approximation/BossaNova.hs . 81 19 burning-ship-series-approximation/.gitignore . 90 20 burning-ship-series-approximation/Makefile . 90 21 .gitignore . 90 22 julia/.gitignore . 91 23 julia-iim/julia-de.c . 91 24 julia-iim/julia-iim.c . 94 25 julia-iim/julia-iim-rainbow.c . 94 26 julia-iim/julia-lsm.c . 98 27 julia-iim/Makefile . 100 28 julia/j-render.c . 100 29 mandelbrot-delta-cl/cl-extra.cc . 110 30 mandelbrot-delta-cl/delta.cl . 111 31 mandelbrot-delta-cl/Makefile . 116 32 mandelbrot-delta-cl/mandelbrot-delta-cl.cc . 117 33 mandelbrot-delta-cl/mandelbrot-delta-cl-exp.cc . 134 34 mandelbrot-delta-cl/README . 139 35 mandelbrot-delta-cl/render-library.sh . 142 36 mandelbrot-delta-cl/sft-library.txt . 142 37 mandelbrot-laurent/DM.gnuplot . 146 38 mandelbrot-laurent/Laurent.hs . 146 39 mandelbrot-laurent/Main.hs . 147 40 mandelbrot-series-approximation/args.h . 148 41 mandelbrot-series-approximation/emscripten.cpp . 150 42 mandelbrot-series-approximation/index.html . -
Extending Mandelbox Fractals with Shape Inversions
Extending Mandelbox Fractals with Shape Inversions Gregg Helt Genomancer, Healdsburg, CA, USA; [email protected] Abstract The Mandelbox is a recently discovered class of escape-time fractals which use a conditional combination of reflection, spherical inversion, scaling, and translation to transform points under iteration. In this paper we introduce a new extension to Mandelbox fractals which replaces spherical inversion with a more generalized shape inversion. We then explore how this technique can be used to generate new fractals in 2D, 3D, and 4D. Mandelbox Fractals The Mandelbox is a class of escape-time fractals that was first discovered by Tom Lowe in 2010 [5]. It was named the Mandelbox both as an homage to the classic Mandelbrot set fractal and due to its overall boxlike shape when visualized, as shown in Figure 1a. The interior can be rich in self-similar fractal detail as well, as shown in Figure 1b. Many modifications to the original algorithm have been developed, almost exclusively by contributors to the FractalForums online community. Although most explorations of Mandelboxes have focused on 3D versions, the algorithm can be applied to any number of dimensions. (a) (b) (c) Figure 1: Mandelbox 3D fractal examples: (a) Mandelbox exterior , (b) same Mandelbox, but zoomed in view of small section of interior , (c) Juliabox indexed by same Mandelbox. Like the Mandelbrot set and other escape-time fractals, a Mandelbox set contains all the points whose orbits under iterative transformation by a function do not escape. For a basic Mandelbox the function to apply iteratively to each point �" is defined as a composition of transformations: �#$% = ��ℎ�������1,3 �������6 �# ∗ � + �" Boxfold and Spherefold are modified reflection and spherical inversion transforms, respectively, with parameters F, H, and L which are described below. -
Fractals: an Introduction Through Symmetry
Fractals: an Introduction through Symmetry for beginners to fractals, highlights magnification symmetry and fractals/chaos connections This presentation is copyright © Gayla Chandler. All borrowed images are copyright © their owners or creators. While no part of it is in the public domain, it is placed on the web for individual viewing and presentation in classrooms, provided no profit is involved. I hope viewers enjoy this gentle approach to math education. The focus is Math-Art. It is sensory, heuristic, with the intent of imparting perspective as opposed to strict knowledge per se. Ideally, viewers new to fractals will walk away with an ability to recognize some fractals in everyday settings accompanied by a sense of how fractals affect practical aspects of our lives, looking for connections between math and nature. This personal project was put together with the input of experts from the fields of both fractals and chaos: Academic friends who provided input: Don Jones Department of Mathematics & Statistics Arizona State University Reimund Albers Center for Complex Systems & Visualization (CeVis) University of Bremen Paul Bourke Centre for Astrophysics & Supercomputing Swinburne University of Technology A fourth friend who has offered feedback, whose path I followed in putting this together, and whose influence has been tremendous prefers not to be named yet must be acknowledged. You know who you are. Thanks. ☺ First discussed will be three common types of symmetry: • Reflectional (Line or Mirror) • Rotational (N-fold) • Translational and then: the Magnification (Dilatational a.k.a. Dilational) symmetry of fractals. Reflectional (aka Line or Mirror) Symmetry A shape exhibits reflectional symmetry if the shape can be bisected by a line L, one half of the shape removed, and the missing piece replaced by a reflection of the remaining piece across L, then the resulting combination is (approximately) the same as the original.1 In simpler words, if you can fold it over and it matches up, it has reflectional symmetry. -
Fractal Modeling and Fractal Dimension Description of Urban Morphology
Fractal Modeling and Fractal Dimension Description of Urban Morphology Yanguang Chen (Department of Geography, College of Urban and Environmental Sciences, Peking University, Beijing 100871, P. R. China. E-mail: [email protected]) Abstract: The conventional mathematical methods are based on characteristic length, while urban form has no characteristic length in many aspects. Urban area is a measure of scale dependence, which indicates the scale-free distribution of urban patterns. Thus, the urban description based on characteristic lengths should be replaced by urban characterization based on scaling. Fractal geometry is one powerful tool for scaling analysis of cities. Fractal parameters can be defined by entropy and correlation functions. However, how to understand city fractals is still a pending question. By means of logic deduction and ideas from fractal theory, this paper is devoted to discussing fractals and fractal dimensions of urban landscape. The main points of this work are as follows. First, urban form can be treated as pre-fractals rather than real fractals, and fractal properties of cities are only valid within certain scaling ranges. Second, the topological dimension of city fractals based on urban area is 0, thus the minimum fractal dimension value of fractal cities is equal to or greater than 0. Third, fractal dimension of urban form is used to substitute urban area, and it is better to define city fractals in a 2-dimensional embedding space, thus the maximum fractal dimension value of urban form is 2. A conclusion can be reached that urban form can be explored as fractals within certain ranges of scales and fractal geometry can be applied to the spatial analysis of the scale-free aspects of urban morphology.