logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Hypercomplex Iterations Distance Estimation And Higher Dimensional Fractals Yumei Dang

  • SKU: BELL-988686
Hypercomplex Iterations Distance Estimation And Higher Dimensional Fractals Yumei Dang
$ 31.00 $ 45.00 (-31%)

4.3

48 reviews

Hypercomplex Iterations Distance Estimation And Higher Dimensional Fractals Yumei Dang instant download after payment.

Publisher: World Scientific Publishing Company
File Extension: PDF
File size: 6.84 MB
Pages: 162
Author: Yumei Dang, Louis H. Kauffman, Daniel J. Sandin
ISBN: 9789810232962, 9810232969
Language: English
Year: 2002

Product desciption

Hypercomplex Iterations Distance Estimation And Higher Dimensional Fractals Yumei Dang by Yumei Dang, Louis H. Kauffman, Daniel J. Sandin 9789810232962, 9810232969 instant download after payment.

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 generalize 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.

Related Products