Tanaka Naoki (88 results)

Paperback Bunko. Condition: Brand New. Japanese language. 5.91x3.94x0.47 inches. In Stock.

XI, 365 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

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

Condition: New.

Condition: New.

Hardcover. Condition: Brand New. 410 pages. 9.50x6.50x1.25 inches. In Stock.

Condition: New.

Taschenbuch. Condition: Neu. Neuware -This open access book gives an overview of cutting-edge work on a new paradigm called the żsublinear computation paradigm,ż which was proposed in the large multiyear academic research project żFoundations of Innovative Algorithms for Big Data.ż 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 żfast,ż 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.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Condition: Neu. Neuware -This open access book gives an overview of cutting-edge work on a new paradigm called the żsublinear computation paradigm,ż which was proposed in the large multiyear academic research project żFoundations of Innovative Algorithms for Big Data.ż 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 żfast,ż 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.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Condition: new. Hardcover. This comprehensive book highlights the importance of Cyanidioschyzon merolae (C. merolae), an ultrasmall unicellular red alga, as a model eukaryote organism. The chapters introduce recent studies on C. merolae, from culture, synchronization and isolation methods of nucleic acids, proteins and organelles for molecular biological and cytological analyses, as well as its application in genetic engineering of environmental-stress-tolerant crops and oil production. In addition to discussing recent advances based on the complete genome information and molecular biological techniques such as genetic modifications and bioinformatics, the book includes visualization aids demonstrating that both classical and recent imaging techniques of fluorescent and electron microscopy can be applied to analyses of C. merolae. This publication offers a definitive resource for both beginners and professionals studying C. merolae, particularly in the field of molecular biology, evolutionary biology, morphology, biochemistry and cell biology, as well as those interested in its applications in medical sciences and agriculture. In addition to discussing recent advances based on the complete genome information and molecular biological techniques such as genetic modifications and bioinformatics, the book includes visualization aids demonstrating that both classical and recent imaging techniques of fluorescent and electron microscopy can be applied to analyses of C. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 420 | Sprache: Englisch | Produktart: Bücher | This open access book gives an overview of cutting-edge work on a new paradigm called the żsublinear computation paradigm,ż which was proposed in the large multiyear academic research project żFoundations of Innovative Algorithms for Big Data.ż 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 żfast,ż 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.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

hardcover. Condition: New.

Condition: new.

Condition: Fine. KOS01700607.

Condition: Fine. The book is in fine condition.

Condition: Fine. The book is in fine condition.

Condition: Fine. Number of books: 1.

Condition: Fine. Number of books: 1.

Condition: Fine. Size: A5. 288 pages.