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Hierarchical and Geometrical Methods in Scientific Visualization [Hardcover]

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Item description for Hierarchical and Geometrical Methods in Scientific Visualization by Gerald Farin...

This book emerged from a DoE/NSF-sponsored workshop, held in Tahoe City, California, October 2000. About fifty invited participants presented state-of-the-art research on topics such as:
- terrain modeling
- multiresolution subdivision
- wavelet-based scientific data compression
- topology-based visualization
- data structures, data organization and indexing schemes for scientific data visualization.
All invited papers were carefully refereed, resulting in this collection. The book will be of great interest to researchers, graduate students and professionals dealing with scientific visualization and its applications.

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Item Specifications...

Pages   330
Est. Packaging Dimensions:   Length: 9.4" Width: 6.4" Height: 0.7"
Weight:   1.4 lbs.
Binding  Hardcover
Release Date   Feb 12, 2003
Publisher   Springer
ISBN  3540433139  
ISBN13  9783540433132  

Availability  143 units.
Availability accurate as of May 29, 2017 02:00.
Usually ships within one to two business days from La Vergne, TN.
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More About Gerald Farin

Register your artisan biography and upload your photo! Gerald Farin has an academic affiliation as follows - Arizona State University, Tempe, USA.

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Reviews - What do customers think about Hierarchical and Geometrical Methods in Scientific Visualization?

perhaps considered as a fractal-like approach to displaying data  Jun 24, 2006
The book is a conference proceedings writeup. Unfortunately, it lacks an introduction that attempts to put some perspective or overall theme on the papers. So you might end up trolling the contents pages and the abstracts of each paper, in the hope of finding something relevant to your needs.

One paper on better ways to model terrain, via Voronoi decompositions. While another paper studies how to display large scale dynamical astrophysics. This is an extreme problem, where time and spatial dimensions can vary by several orders of magnitude. So displaying an animation consisting of equal time steps often proves inadequate. The authors suggest a hierarchical approach, somewhat fractal-like in spirit, if you will.

There are numerous other papers that urge similar approaches.

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