finelybook
Encounters with Chaos and Fractals (Textbooks in Mathematics)
by 作者: Denny Gulick (Author), Jeff Ford (Author)
Publisher Finelybook 出版社: Chapman and Hall/CRC
Edition 版本: 3rd
Publication Date 出版日期: 2024-05-10
Language 语言: English
pages 页数: : 414 pages
ISBN-10 书号: 1032677864
ISBN-13 书号: 9781032677866
Book Description
"Encounters with Chaos and Fractals, Third Edition provides an accessible introduction to chaotic dynamics and fractal geometry. It incorporates important mathematical concepts and backs up the definitions and results with motivation, examples, and applications. The Third Edition updates this classic book for a modern audience. New applications on contemporary topics, like data science and mathematical modelling, appear throughout. Coding activities are transitioned to open-source programming languages, including Python. The text begins with examples of mathematical behavior exhibited by chaotic systems, first in one dimension and then in two and three dimensions. Focusing on fractal geometry, the authors introduce famous infinitely complicated fractals. How to obtain computer renditions of them are explained. The book concludes with Julia sets and the Mandelbrot set"--
About the Author
Denny Gulick is Professor Emeritus in the Department of Mathematics at the University of Maryland. His research interests include operator theory and fractal geometry. He earned a PhD from Yale University.
Jeff Ford is a Visiting Assistant Professor of Mathematics at Gustavus Adolphus College. He earned his Bachelor’s degree from Gustavus Adolphus College, his Master’s degree in mathematics from Minnesota State University-Mankato, and his Ph.D. in mathematics from Auburn University, studying under Dr. Krystyna Kuperberg. Jeff is interested in the existence of volume-preserving dynamical systems with unique properties. Jeff uses and assesses a variety of active learning techniques in his class including inquiry-based learning and team-based learning. His scholarship in this area centers on understanding how active learning techniques improve confidence and reduce anxiety in undergraduate students.
