ito atsuki (20 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. Ito, Atsuki (illustrator). May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

HRD. Zustand: New. Ito, Atsuki (illustrator). New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. Ito, Atsuki (illustrator). New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Ito, Atsuki (illustrator).

Hardcover. Zustand: Brand New. Ito, Atsuki (illustrator). 64 pages. 6.50x7.13x0.44 inches. In Stock.

Zustand: New. Ito, Atsuki (illustrator). 2023. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. Ito, Atsuki (illustrator). In.

Zustand: NEW. Ito, Atsuki (illustrator).

Zustand: New. In.

Zustand: New. Ito, Atsuki (illustrator). Yokomitsu (1989-1947) was a modernist writer and co-founder of the magazine Bungei jidai (Literary Era), locus for the New Sensation School, which also included Nobel laureate Yasunari Kawabata. Yokomitsu is best known in English for his novel Shanghai.

Buch. Zustand: Neu. Ito, Atsuki (illustrator). Neuware - A more intimate and romantic entry in the Maiden's Bookshelf series, this tale of doomed romance brings together the so-called 'God of Literature' with the gorgeous artwork of Atsuki Ito, author of A Love-Letter in 26 Characters."I can't imagine how wonderful it will be to die." Confined to a sickbed by the seaside, a woman waits for death as her husband nurses her. This is no tragic idyll, however; the space between them is filled with antagonism, fear, suspicion, pain.and love.Riichi Yokomitsu brings a bitingly realistic sensibility to this claustrophobic tale of love and death, asmoving as it is agonizing.

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

Zustand: New.

Buch. Zustand: Neu. Ito, Atsuki (illustrator). Spring Comes Riding in a Carriage: Maiden's Bookshelf | Riichi Yokomitsu | Buch | Einband - fest (Hardcover) | Englisch | 2023 | Vertical Inc. | EAN 9781647291822 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Zustand: New.

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

Taschenbuch. Zustand: 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.

Taschenbuch. Zustand: 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. Zustand: 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.

Zustand: 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 ¿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.