Gallivan Michael (43 results)

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

Soft cover. Condition: Very Good. 1st Edition. Light edge and corner wear with minor creasing on the spine and some wear on the upper left of the back cover; earlier price in ink on the front endpaper. This story collection contains: The Fenian Rescue; Six Went Free; Jail Break; The Eagle Flies Free; Escape from Lincoln; Adventure at Innsbruck; The General Went Free; Lynchehaun; Flight from Van Dieman's Land; Dragnet in Dublin; Death in Wicklow; The Seven Years' Manhunt; The Captain and the Crown; Hue and Cry; Woodcock Carden in Flight; and Escape from Barbary. Size: 12mo. Michael Gallivan; (illustrator). Book.…

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

Paperback. Condition: New. Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms.Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra - direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.…

Paperback. Condition: Brand New. illustrated edition edition. 207 pages. 10.00x6.75x0.75 inches. In Stock.

Paperback. Condition: New. Print on Demand. This book delves into the complexities of implementing radical change within organizations. It challenges the prevailing notion that rapid implementation is the sole path to success. The author presents a case study of a company that successfully implemented a series of radical changes gradually, arguing that under certain conditions, this approach can be more effective. The book highlights the importance of tailoring the pace of change to the specific organizational context and technological innovation, providing valuable insights for managers and change agents. The author emphasizes the need to distinguish between the pace and nature of change, arguing that they can be managed separately. The gradual implementation strategy employed in the case study allowed for greater employee participation, reduced resistance, and facilitated organizational learning. This book offers a nuanced perspective on implementing radical change, providing a framework for evaluating and managing change processes more effectively. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.…

Condition: New. pp. 207.

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Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

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Paperback. Condition: New. Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms.Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra - direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.…

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Condition: New. pp. 364.

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Hardcover. Condition: Brand New. 2012 edition. 359 pages. 9.50x6.25x1.00 inches. In Stock.

Taschenbuch. Condition: Neu. High-Performance Scientific Computing | Algorithms and Applications | Michael W. Berry (u. a.) | Taschenbuch | xiv | Englisch | 2014 | Springer | EAN 9781447158882 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context. Advances in the development of parallel algorithms and system software now enable the ever-increasing power of scalable high-performance computers to be harnessed for scientific computing applications at fidelities that rival and in many cases exceed experimental methodologies.This comprehensive text/reference, inspired by the visionary work of Prof. Ahmed H. Sameh, represents the state of the art in parallel numerical algorithms, applications, architectures, and system software. Articles in this collection address various challenges arising from concurrency, scale, energy efficiency, and programmability, and associated solutions that have shaped the current high-performance computing landscape. These solutions are discussed in the context of diverse applications, ranging from scientific simulations to large-scale data analysis and mining.Topics and features: includes contributions from an international selection of world-class authorities, inspired by the work of Prof. Ahmed H. Sameh and his involvement in parallel numerical algorithm design since Illiac IV and the University of Illinois Cedar multiprocessor; examines various aspects of parallel algorithm-architecture interaction through articles on computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.This authoritative reference is a must-read for researchers and graduate students in disciplines as diverse as computational fluid dynamics, signal processing, and structural mechanics. Professionals involved in applications that rely on high-performance computers will also find the text an essential resource. Advances in the development of parallel algorithms and system software now enable the ever-increasing power of scalable high-performance computers to be harnessed for scientific computing applications at fidelities that rival and in many cases exceed experimental methodologies.This comprehensive text/reference, inspired by the visionary work of Prof. Ahmed H. Sameh, represents the state of the art in parallel numerical algorithms, applications, architectures, and system software. Articles in this collection address solutions to various challenges arising from concurrency, scale, energy efficiency, and programmability. These solutions are discussed in the context of diverse applications, ranging from scientific simulations to large-scale data analysis and mining.Topics and features:Includes contributions from an international selection of world-class authorities, inspired by the work of Prof. Ahmed H. SamehExamines various aspects of parallel algorithm-architecture interaction through articles on computational capacity-based codesign and automatic restructuring of programs using compilation techniquesReviews emerging applications of numerical methods in information retrieval and data miningDiscusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systemsPresents outstanding challenges and developing technologies, and puts these in their historical contextThis authoritative reference is a must-read for researchers and graduate students in disciplines as diverse as computational fluid dynamics, signal processing, and structural mechanics. Professionals involved in applications that rely on high-performance computers will also find the text an essential resource.…

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