Isbn: 9789811640971 - Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era (15 results)

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  • Language: English

    Published by Springer, 2021

    9811640971 / 9789811640971

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  • Language: English

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    Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

  • Language: English

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  • Language: English

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  • Language: English

    Published by Springer-Nature New York Inc, 2021

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    Paperback. Condition: Brand New. 410 pages. 9.25x6.10x0.86 inches. In Stock.

  • Language: English

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    Taschenbuch. Condition: Neu. Sublinear Computation Paradigm | Algorithmic Revolution in the Big Data Era | Naoki Katoh (u. a.) | Taschenbuch | viii | Englisch | 2021 | Springer | EAN 9789811640971 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Language: English

    Published by Springer, 2021

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    Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand

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  • Language: English

    Published by Springer Nature Singapore Okt 2021, 2021

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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.The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book.The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms. 420 pp. Englisch.…

  • Language: English

    Published by Springer, 2021

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  • Language: English

    Published by Springer, 2021

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  • Language: English

    Published by Springer, Berlin|Springer Nature Singapore|Japan Science and Technology Agency|Springer, 2021

    9811640971 / 9789811640971

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.…

  • Language: English

    Published by Springer, Springer Okt 2021, 2021

    9811640971 / 9789811640971

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Chapter 1: What is the Sublinear Computation Paradigm .- Chapter 2: Property Testing on Graphs and Games.- Chapter 3: Constant-Time Algorithms for Continuous Optimization Problems.- Chapter 4: Oracle-based Primal-Dual Algorithms for Packing and Covering Semidefinite Programs.- Chapter 5: Almost Linear Time Algorithms for Some Problems on Dynamic Flow Networks.- Chapter 6: Sublinear Data Structure.- Chapter 7: Compression and Pattern Matching.- Chapter 8: Orthogonal Range Search Data Structures.- Chapter 9: Enhanced RAM Simulation in Succinct Space.- Chapter 10: Review of Sublinear Modeling in Markov Random Fields by Statistical-Mechanical Informatics and Statistical Machine Learning Theory.- Chapter 11: Empirical Bayes Method for Boltzmann Machines.- Chapter 12: Dynamical analysis of quantum annealing.- Chapter 13: Mean-field analysis of Sourlas codes with adiabatic reverse annealing.- Chapter 14: Rigidity theory for protein function analysis and structural accuracy validations.- Chapter 15: Optimization of Evacuating and Walking Home Routes from Osaka City with Big Road Network Data on Nankai Megathrust Earthquake.- Chapter 16: Stream-based Lossless Data Compression.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 420 pp. Englisch.…