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Hypercomplex iterations : distance estimation and higher dimensional fractals / Yumei Dang, Louis H. Kauffman, Daniel Sandin.

By: Contributor(s): Material type: TextTextSeries: K & E series on knots and everything ; v. 17.Publication details: River Edge, NJ : World Scientific, ©2002.Description: 1 online resource (xv, 144 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789812778604
  • 9812778608
  • 9810232969
  • 9789810232962
Other title:
  • Distance estimation and higher dimensional fractals
Subject(s): Additional physical formats: Print version:: Hypercomplex iterations.DDC classification:
  • 511.4 22
LOC classification:
  • QA297.8 .D25 2002eb
Online resources:
Contents:
pt. 1. Introduction. ch. 1. Hypercomplex iterations in a nutshell -- ch. 2. Deterministic fractals and distance estimation -- pt. 2. Classical analysis: complex and quaternionic. ch. 3. Distance estimation in complex space -- ch. 4. Quaternion analysis -- ch. 5. Quaternions and the Dirac string trick -- pt. 3. Hypercomplex iterations. ch. 6. Quaternion Mandelbrot sets -- ch. 7. Distance estimation in higher dimensional spaces -- pt. 4. inverse iteration, ray tracing and virtual reality. ch. 8. Inverse iteration: an interactive visualization -- ch. 9. Ray tracing methods by distance estimation -- ch. 10. Quaternion deterministic fractals in virtual reality.
Summary: This book is based on the authors' research on rendering images of higher dimensional fractals by a distance estimation technique. It is self-contained, giving a careful treatment of both the known techniques and the authors' new methods. The distance estimation technique was originally applied to Julia sets and the Mandelbrot set in the complex plane. It was justified, through the work of Douady and Hubbard, by deep results in complex analysis. In this book, the authors generalise the distance estimation to quaternionic and other higher dimensional fractals, including fractals derived from iteration in the Cayley numbers (octonionic fractals). The generalization is justified by new geometric arguments that circumvent the need for complex analysis. This puts on a firm footing the authors' present work and the second author's earlier work with John Hart and Dan Sandin. The results of this book will be of great interest to mathematicians and computer scientists interested in fractals and computer graphics.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

Includes bibliographical references (pages 139-141) and index.

Accompanied by CD-ROM containing an interactive tour of the space of hypercomplex Julia sets and an educational mini-documentary introducing fractals and hypercomplex geometry.

Print version record.

pt. 1. Introduction. ch. 1. Hypercomplex iterations in a nutshell -- ch. 2. Deterministic fractals and distance estimation -- pt. 2. Classical analysis: complex and quaternionic. ch. 3. Distance estimation in complex space -- ch. 4. Quaternion analysis -- ch. 5. Quaternions and the Dirac string trick -- pt. 3. Hypercomplex iterations. ch. 6. Quaternion Mandelbrot sets -- ch. 7. Distance estimation in higher dimensional spaces -- pt. 4. inverse iteration, ray tracing and virtual reality. ch. 8. Inverse iteration: an interactive visualization -- ch. 9. Ray tracing methods by distance estimation -- ch. 10. Quaternion deterministic fractals in virtual reality.

This book is based on the authors' research on rendering images of higher dimensional fractals by a distance estimation technique. It is self-contained, giving a careful treatment of both the known techniques and the authors' new methods. The distance estimation technique was originally applied to Julia sets and the Mandelbrot set in the complex plane. It was justified, through the work of Douady and Hubbard, by deep results in complex analysis. In this book, the authors generalise the distance estimation to quaternionic and other higher dimensional fractals, including fractals derived from iteration in the Cayley numbers (octonionic fractals). The generalization is justified by new geometric arguments that circumvent the need for complex analysis. This puts on a firm footing the authors' present work and the second author's earlier work with John Hart and Dan Sandin. The results of this book will be of great interest to mathematicians and computer scientists interested in fractals and computer graphics.

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