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Language: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811640971 ISBN 13: 9789811640971
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Language: English
Published by Springer-Verlag New York Inc, 2008
ISBN 10: 3540895493 ISBN 13: 9783540895497
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Language: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811640947 ISBN 13: 9789811640940
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Language: English
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540895493 ISBN 13: 9783540895497
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Language: English
Published by Springer Nature Singapore Okt 2021, 2021
ISBN 10: 9811640971 ISBN 13: 9789811640971
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Taschenbuch. Condition: Neu. Neuware -This open access book gives an overview of cutting-edge work on a new paradigm called the ¿sublinear computation paradigm,¿ which was proposed in the large multiyear academic research project ¿Foundations of Innovative Algorithms for Big Data.¿ That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as ¿fast,¿ but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 420 pp. Englisch.
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Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319485318 ISBN 13: 9783319485317
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Add to basketPaperback. Condition: Brand New. revised edition. 308 pages. 9.25x6.10x0.70 inches. In Stock.