Shanshan liu (36 risultati)

Paperback. Condizione: Very Good. Vol 102, No 6, pp. 1329-1347, Maps, 4to, Extracted from orig vol, thus begins with title page, trimmed & stapled paperback, else VG.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Paperback. Condizione: Brand New. 262 pages. 9.19x6.13x9.21 inches. In Stock.

Condizione: Good. : Este libro presenta un mapa de la arquitectura antigua de Jiangsu y Shanghái, centrándose en edificios históricos construidos antes de 1911 que se conservan en buen estado y tienen un alto valor. También incluye una selección de importantes edificios históricos construidos después de 1911 con logros arquitectónicos significativos. Abarca tipos de arquitectura antigua como ciudades, templos, santuarios, oficinas gubernamentales, academias, pagodas, jardines, residencias civiles, puentes y grutas. EAN: 9787302402572 Tipo: Libros Categoría: Arte y Cultura|Historia Título: Jiangsu Shanghai Ancient Architecture Map Autor: Jia Jun| Huang Xiao| Shanshan Liu Editorial: Tsinghua University Press Idioma: zh Páginas: 577 Formato: tapa blanda.…

Condizione: New.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their application to diverse fields. This is achieved by chapters covering the entire spectrum of research activities to include design and applications, with a focus on high performance and dependable operation. The entire hardware stack (from circuit, to architecture, up to the system level) is discussed in detail. The book will cover innovative material as well as tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications over a wide spectrum of scope for an enlarged readership, so to include engineers as well as scientists.Discusses a wide range of topics for Machine Learning-based computer systems;Covers design and application for the entire hardware stack, with a focus on high performance and dependability;Includes innovative material, as well as tutorials, reviews and surveys of current theoretical/experimental results.…

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Hardcover. Condizione: Brand New. 312 pages. 9.18x6.12x0.78 inches. In Stock.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Liu Dachun is a Distinguished Professor at Renmin University of China and also a pioneer and leading scholar of Chinese philosophy of science and technology. He specializes in philosophy of science, STS (science, technology and society) .…

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their application to diverse fields. This is achieved by chapters covering the entire spectrum of research activities to include design and applications, with a focus on high performance and dependable operation. The entire hardware stack (from circuit, to architecture, up to the system level) is discussed in detail. The book will cover innovative material as well as tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications over a wide spectrum of scope for an enlarged readership, so to include engineers as well as scientists.Discusses a wide range of topics for Machine Learning-based computer systems;Covers design and application for the entire hardware stack, with a focus on high performance and dependability;Includes innovative material, as well as tutorials, reviews and surveys of current theoretical/experimental results. 413 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.