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High Performance Scientific and Engineering Computing: Proceedings of the International Fortwihr Conference on Hpsec, Munich, March 16-18, 1998 Softcover Repri Edition
Contributor(s): Bungartz, Hans-Joachim (Editor), Durst, Franz (Editor), Zenger, Christoph (Editor)

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 ISBN: 3540657304     ISBN-13: 9783540657309
Publisher: Springer
OUR PRICE: $104.49  

Binding Type: Paperback - See All Available Formats & Editions
Published: August 1999
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Click for more in this series: Lecture Notes in Computational Science and Engineering
Additional Information
BISAC Categories:
- Mathematics | Discrete Mathematics
- Mathematics | Probability & Statistics - General
- Mathematics | Counting & Numeration
Dewey: 502.85
LCCN: 99030073
Series: Lecture Notes in Computational Science and Engineering
Physical Information: 0.98" H x 6.14" W x 9.21" L (1.49 lbs) 471 pages
Features: Illustrated
 
Descriptions, Reviews, Etc.
Publisher Description:
Since the creation of the term "Scientific Computing" and of its German counterpart "Wissenschaftliches Rechnen" (whoever has to be blamed for that), scientists from outside the field have been confused about the some- what strange distinction between scientific and non-scientific computations. And the insiders, i. e. those who are, at least, convinced of always comput- ing in a very scientific way, are far from being happy with this summary of their daily work, even if further characterizations like "High Performance" or "Engineering" try to make things clearer - usually with very modest suc- cess, however. Moreover, to increase the unfortunate confusion of terms, who knows the differences between "Computational Science and Engineering", as indicated in the title of the series these proceedings were given the honour to be published in, and "Scientific and Engineering Computing", as chosen for the title of our book? Actually, though the protagonists of scientific com- puting persist in its independence as a scientific discipline (and rightly so, of course), the ideas behind the term diverge wildly. Consequently, the variety of answers one can get to the question "What is scientific computing?" is really impressive and ranges from the (serious) "nothing else but numerical analysis" up to the more mocking "consuming as much CPU-time as possible on the most powerful number crunchers accessible" .
 
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