Logo

Strange Attractors: Creating Patterns in Chaos

Small book cover: Strange Attractors: Creating Patterns in Chaos

Strange Attractors: Creating Patterns in Chaos
by

Publisher: M & T Books
ISBN/ASIN: 1558512985
ISBN-13: 9781558512986
Number of pages: 591

Description:
Chaos and fractals are new mathematical ideas that have revolutionized our view of the world. They have application in virtually every academic discipline. This book shows examples of the artistic beauty that can arise from very simple equations, and teaches the reader how to produce an endless variety of such patterns.

Home page url

Download or read it online for free here:
Download link
(7.7MB, PDF)

Similar books

Book cover: Algorithmic MathematicsAlgorithmic Mathematics
by - Queen Mary University of London
This text is a course in mathematical algorithms, intended for second year mathematics students. It introduces the algorithms for computing with integers, polynomials and vector spaces. The course requires no computing experience.
(23873 views)
Book cover: Algorithms in Real Algebraic GeometryAlgorithms in Real Algebraic Geometry
by - Springer
The monograph gives a detailed exposition of the algorithmic real algebraic geometry. It is well written and will be useful both for beginners and for advanced readers, who work in real algebraic geometry or apply its methods in other fields.
(17930 views)
Book cover: Computer Algebra, Algorithms, Systems and ApplicationsComputer Algebra, Algorithms, Systems and Applications
by - Czech Technical University
From the table of contents: Introduction; Algorithms for algebraic computation; Integrated mathematical systems; Basic possibilities of integrated mathematical systems; Applications of computer algebra; Another sources of study.
(17957 views)
Book cover: Probabilistic Programming and Bayesian Methods for HackersProbabilistic Programming and Bayesian Methods for Hackers
by - GitHub, Inc.
This book is designed as an introduction to Bayesian inference from a computational understanding-first, and mathematics-second, point of view. The book assumes no prior knowledge of Bayesian inference nor probabilistic programming.
(22957 views)