Dynamical Systems and Fractals : Computer Graphics Experiments with Pascal

Dörfler, Michael, Becker, K. H.

ISBN 10: 052136910X / ISBN 13: 9780521369107

Published by Cambridge University Press, 1989

About this Item

Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Seller Inventory # GRP16176646

Bibliographic Details

• Title: Dynamical Systems and Fractals : Computer Graphics Experiments with Pascal
• Publisher: Cambridge University Press
• Publication Date: 1989
• Language: English
• ISBN 10: 052136910X
• ISBN 13: 9780521369107
• Binding: Soft cover
• Edition: 1st Edition.
• Condition: Good

About this title

Synopsis

This 1989 book is about chaos, fractals and complex dynamics, and is addressed to all people who have some familiarity with computers and enjoy using them. The mathematics has been kept simple, with few formulae, yet the reader is introduced to and can learn about an area of current scientific research which was scarcely possible before the availability of computers. The introduction is achieved through the extensive use of computer graphics. The book is divided into two main parts: in the first the most interesting problems are described, with, in each case, a solution in the form of a computer program. A large number of exercises enable the reader to undertake his or her own experimental work. In the second part, example programs are given for specific machines and operating systems; details refer to MS-DOC and Turbo-Pascal, UNIX 4.2 BSD with Berkley Pascal and C. Other implementations of the graphics routines are given for Apple Macintosh, Apple IIE and IIGS and Atari ST.

Book Description

This 1989 book is about chaos, fractals and complex dynamics, and is addressed to all people who have some familiarity with computers and enjoy using them. The mathematics has been kept simple, with few formulae, yet the reader is introduced to and can learn about an area of current scientific research which was scarcely possible before the availability of computers.