9783642628016-364262801X-Hierarchical and Geometrical Methods in Scientific Visualization (Mathematics and Visualization)

Hierarchical and Geometrical Methods in Scientific Visualization (Mathematics and Visualization)

ISBN-13: 9783642628016
ISBN-10: 364262801X
Edition: Softcover reprint of the original 1st ed. 2003
Author: Hans Hagen, Gerald Farin, Bernd Hamann
Publication date: 2012
Publisher: Springer
Format: Paperback 373 pages
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Book details

ISBN-13: 9783642628016
ISBN-10: 364262801X
Edition: Softcover reprint of the original 1st ed. 2003
Author: Hans Hagen, Gerald Farin, Bernd Hamann
Publication date: 2012
Publisher: Springer
Format: Paperback 373 pages

Summary

Hierarchical and Geometrical Methods in Scientific Visualization (Mathematics and Visualization) (ISBN-13: 9783642628016 and ISBN-10: 364262801X), written by authors Hans Hagen, Gerald Farin, Bernd Hamann, was published by Springer in 2012. With an overall rating of 3.5 stars, it's a notable title among other books. You can easily purchase or rent Hierarchical and Geometrical Methods in Scientific Visualization (Mathematics and Visualization) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The nature of the physical Universe has been increasingly better understood in recent years, and cosmological concepts have undergone a rapid evolution (see, e.g., [11], [2],or [5]). Although there are alternate theories, it is generally believed that the large-scale relationships and homogeneities that we see can only be explainedby having the universe expand suddenlyin a very early "in?ationary" period. Subsequent evolution of the Universe is described by the Hubble expansion, the observation that the galaxies are ?ying away from each other. We can attribute di?erent rates of this expansion to domination of di?erent cosmological processes, beginning with radiation, evolving to matter domination, and, relatively recently, to vacuum domination (the Cosmological Constant term)[4]. We assume throughout that we will be relying as much as possible on observational data, with simulations used only for limited purposes, e.g., the appearance of the Milky Wayfrom nearbyintergalactic viewpoints. The visualization of large-scale astronomical data sets using?xed, non-interactive animations has a long history. Several books and ?lms exist, ranging from "Cosmic View: The Universe in Forty Jumps" [3] by Kees Boeke to "Powers of 10" [6,13] by Charles and Ray Eames, and the recent Imax ?lm "Cosmic Voyage" [15]. We have added our own contribution [9], "Cosmic Clock," which is an animation based entirely on the concepts and implementation described in this paper.

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