9789810232962-9810232969-Hypercomplex Iterations: Distance Estimation and Higher Dimensional Fractals (with CD Rom) (Knots and Everything)

Hypercomplex Iterations: Distance Estimation and Higher Dimensional Fractals (with CD Rom) (Knots and Everything)

ISBN-13: 9789810232962
ISBN-10: 9810232969
Author: Louis H Kauffman, Yumei Dang, Daniel Sandin
Publication date: 2002
Publisher: World Scientific Publishing Company
Format: Hardcover 164 pages
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Book details

ISBN-13: 9789810232962
ISBN-10: 9810232969
Author: Louis H Kauffman, Yumei Dang, Daniel Sandin
Publication date: 2002
Publisher: World Scientific Publishing Company
Format: Hardcover 164 pages

Summary

Hypercomplex Iterations: Distance Estimation and Higher Dimensional Fractals (with CD Rom) (Knots and Everything) (ISBN-13: 9789810232962 and ISBN-10: 9810232969), written by authors Louis H Kauffman, Yumei Dang, Daniel Sandin, was published by World Scientific Publishing Company in 2002. With an overall rating of 3.8 stars, it's a notable title among other books. You can easily purchase or rent Hypercomplex Iterations: Distance Estimation and Higher Dimensional Fractals (with CD Rom) (Knots and Everything) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.54.

Description

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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