Overview

There are many reasons for writing this first volume of strategic activities on fractals. The most pervasive is the compelling desire to provide students of mathematics with a set of accessible, hands-on experiences with fractals and their underlying mathematical principles and characteristics. Another is to show how fractals connect to many different aspects of mathematics and how the study of fractals can bring these ideas together. A third is to share the beauty of their structure and shape both through what the eye sees and what the mind visualizes. Fractals have captured the attention, enthusiasm, and interest of many people around the world. To the casual observer, their color, beauty, and geometric structure captivates the visual senses like few other things they have ever experienced in mathematics. To the computer scientist, fractals offer a rich environment in which to explore, create, and build a new visual world as an artist creating a new work. To the student, fractals bring mathematics out of past history and into the twenty-first century. To the mathematics teacher, fractals offer a unique, new opportunity to illustrate both the dynamics of mathematics and its many connecting links.

Full Product Details

Author:   Heinz-Otto Peitgen ,  Hartmut Jürgens ,  Dietmar Saupe ,  Evan Maletsky
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1991
Dimensions:   Width: 21.00cm , Height: 1.10cm , Length: 27.90cm
Weight:   0.400kg
ISBN:  

9780387973463

ISBN 10:   038797346
Pages:   129
Publication Date:   18 April 1991
Audience:   College/higher education ,  Adult education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Unit 1 Self-Similarity.- Key Objectives, Notions, and Connections.- Mathematical Background.- Using the Activities Sheets.- 1.1 Sierpinski Triangle and Variations.- 1.2 Number Patterns and Variations.- 1.3 Square Gasket.- 1.4 Sierpinski Tetrahedron.- 1.5 Trees.- 1.6 Self-Similarity: Basic Properties.- 1.7 Self-Similarity: Specifics.- 1.8 Box Self-Similarity: Grasping the Limit.- 1.9 Pascal’s Triangle.- 1.10 Sierpinski Triangle Revisited.- 1.11 New Coloring Rules and Patterns.- 1.12 Cellular Automata.- Unit 2 The Chaos Game.- Key Objectives, Notions, and Connections.- Mathematical Background.- Using the Activities Sheets.- 2.1 The Chaos Game.- 2.2 Simulating the Chaos Game.- 2.3 Addresses in Triangles and Trees.- 2.4 Chaos Game and Sierpinski Triangle.- 2.5 Chaos Game Analysis.- 2.6 Sampling and the Chaos Game.- 2.7 Probability and the Chaos Game.- 2.8 Trees and the Cantor Set.- 2.9 Trees and the Sierpinski Triangle.- Unit 3 Complexity.- Key Objectives, Notions, and Connections.- Mathematical Background.- Using the Activities Sheets.- 3.1 Construction and Complexity.- 3.2 Fractal Curves.- 3.3 Curve Fitting.- 3.4 Curve Fitting Using Logs.- 3.5 Curve Fitting Using Technology.- 3.6 Box Dimension.- 3.7 Box Dimension and Coastlines.- 3.8 Box Dimension for Self-Similar Objects.- 3.9 Similarity Dimension.- Answers.

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