9780387566856-0387566856-Fractal Modelling: Growth and Form in Biology

Fractal Modelling: Growth and Form in Biology

ISBN-13: 9780387566856
ISBN-10: 0387566856
Author: David G. Luenberger, Yinyu Ye
Publication date: 2008
Publisher: Springer
Format: Paperback 568 pages
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Book details

ISBN-13: 9780387566856
ISBN-10: 0387566856
Author: David G. Luenberger, Yinyu Ye
Publication date: 2008
Publisher: Springer
Format: Paperback 568 pages

Summary

Fractal Modelling: Growth and Form in Biology (ISBN-13: 9780387566856 and ISBN-10: 0387566856), written by authors David G. Luenberger, Yinyu Ye, was published by Springer in 2008. With an overall rating of 4.0 stars, it's a notable title among other Graphics & Design (Graphics & Multimedia, Programming, Software Design, Testing & Engineering, Biology, Biological Sciences, Geology, Earth Sciences) books. You can easily purchase or rent Fractal Modelling: Growth and Form in Biology (Paperback) from BooksRun, along with many other new and used Graphics & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.39.

Description

New developments in computer science, biology, mathematics and physics offer possibilities to obtain deeper understanding of growth and forms of organisms. It is now possible to carry out simulation experiments in which the growth process can be simulated in virtual computer objects. In this book, methods from fractal geometry are applied to model growth forms. As a case study, a type of growth process is used which can be found among various taxonomic classes of organisms such as sponges and corals. The growth of these organisms is simulated with 2D and 3D geometrical objects. The models presented in the book provide a rendering method for natural objects which is based on the actual growth process. The models can be used, for example, to understand the amazing variety of forms to be found in a coral reef. Models which mimic the growth of forms and the environmental influence on the growth process are also useful for ecologists. A combination of simulation models and the actual growth forms can be used to detect the effects of slow changes in the environment.

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