Computational complexity and feasibility of data processing and interval computations

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Last edited by ImportBot
February 26, 2022 | History

Computational complexity and feasibility of data processing and interval computations

The input data for data processing algorithms come from measurements and are hence not precise. We therefore need to estimate the accuracy of the results of data processing. It turns out that even for the simplest data processing algorithms, this problem is, in general, intractable. This book describes for what classes of problems interval computations (i.e. data processing with automatic results verification) are feasible, and when they are intractable. This knowledge is important, e.g. for algorithm developers, because it will enable them to concentrate on the classes of problems for which general algorithms are possible.

Publish Date
Language
English
Pages
459

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Previews available in: English

Edition Availability
Cover of: Computational Complexity and Feasibility of Data Processing and Interval Computations
Computational Complexity and Feasibility of Data Processing and Interval Computations
2013, Springer London, Limited
in English
Cover of: Computational Complexity and Feasibility of Data Processing and Interval Computations
Computational Complexity and Feasibility of Data Processing and Interval Computations
Dec 10, 2010, Springer, Springer US
paperback
Cover of: Computational complexity and feasibility of data processing and interval computations
Computational complexity and feasibility of data processing and interval computations
1998, Kluwer Academic Publishers
in English
Cover of: Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization)
Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization)
December 31, 1997, Springer
Hardcover in English - 1 edition

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Book Details


Edition Notes

Includes bibliographical references (p. 413-450) and index.

Published in
Dordrecht, Boston
Series
Applied optimization ;, v. 10

Classifications

Dewey Decimal Class
519.4/0285
Library of Congress
QA267.7 .C68 1998, QA71-90

The Physical Object

Pagination
xii, 459 p. ;
Number of pages
459

ID Numbers

Open Library
OL695632M
Internet Archive
computationalcom00krei
ISBN 10
0792348656
LCCN
97043085
Goodreads
4618621

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
February 26, 2022 Edited by ImportBot import existing book
November 26, 2020 Edited by MARC Bot import existing book
June 29, 2019 Edited by MARC Bot import existing book
February 4, 2019 Edited by MARC Bot import existing book
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record