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Numerical Analysis and Parallel Processing, Peter R. Turner


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Автор: Peter R. Turner
Название:  Numerical Analysis and Parallel Processing
ISBN: 9783540516453
Издательство: Springer
Классификация:
ISBN-10: 354051645X
Обложка/Формат: Paperback
Страницы: 268
Вес: 0.39 кг.
Дата издания: 06.09.1989
Серия: Lecture Notes in Mathematics
Язык: English
Размер: 234 x 156 x 15
Основная тема: Mathematics
Подзаголовок: Lectures given at The Lancaster Numerical Analysis Summer School 1987
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Cover topics in parallel algorithms for large sparse linear systems and optimization, an introductory survey of level-index arithmetic and superconvergence in the finite element method.


An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms

Автор: Gene H. Golub; Paul Van Dooren
Название: Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms
ISBN: 3642755380 ISBN-13(EAN): 9783642755385
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute on Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms, held in Leuven, Belgium, August 1-12, 1988

Optimization, Parallel Processing and Applications

Автор: Alexander Kurzhanski; Klaus Neumann; Diethard Pall
Название: Optimization, Parallel Processing and Applications
ISBN: 3540190538 ISBN-13(EAN): 9783540190530
Издательство: Springer
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Цена: 15372.00 р.
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Описание: It is already a tradition that conferences on operations research are organized by the Mathematisches Forschungsinstitut in Oberwolfach/Germany. The mean point of the 1987 conference was to discuss recentl.v developed methods in optimization theory derived from various fields of mathematics. On the other hand, the practical use of results in operations research is very important. In the last few years- essenti.al progress in this direction was made at the International Insti- tute for Applied Systems Analysis (IIASA) at Laxenburg/Austria. Therefore a three days workshop on Advanced Computation Techniques, Parallel Processing and Optimi- zation organized by IIASA and the University of Karlsruhe immediately followed the Oberwolfach Conference. This volume contains selected pape s which have been presented at one of these conferences. It: is divided into five sections based on the above topics: I. Algorithms and Optimization Methods II. Optimization and Parallel Processing III. Graph Theory and Scheduling IV. Differential Equations and Operator Theory V. Applications. We would like to thank the director of the Mathematisches Forschungsinstitut Oberwolfach Prof. Dr. M. Barner and the International Institute for Applied Systems Analysis, particularly Prof. Dr. V. Kaftanov, and also to the director of the Computer Center of the University of Karlsruhe Prof. Dr. A. Schreiner for their support in organizing these conferences. We also appreciate the excellent coopera- tion of Springer Verlag. We also thank Dr. P. Recht, Dr. D. Solte and Dr. K. Wieder as well as-Mrs.

Parallel Image Processing

Автор: T. Br?unl; S. Feyrer; W. Rapf; M. Reinhardt
Название: Parallel Image Processing
ISBN: 3642086799 ISBN-13(EAN): 9783642086793
Издательство: Springer
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Цена: 9357.00 р.
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Описание: This book developed out of a series of publications in the area of image processing with massively parallel algorithms. The topic of image processing is a particularly promising area for the use of synchronous massively parallel or data-parallel compu- ter systems which work according to the SIMD principle (single instruction, multiple data). While the era of large SIMD super-computers has passed, SIMD systems have come back as dedicated vision subsystems and will soon be found even in embedded systems. In comparison to conventional sequential implementations of basic image opera- tions, this book illustrates the intrinsic parallelism which is almost always present in image processing. By utilising parallel algorithms it is even possible to illustrate oper- ations in a simpler and easier to understand way than for the sequential case. The presentation method chosen for this book assumes that short, terse excerpts of program code will significantly enhance the understanding of the material, e.g. of image operations, while longer listings are more likely to distract from the topic. For this reason, each chapter will not only define and explain the central image processing algorithms with the help of examples, but will also give an excerpt of a massively par- allel program. For image processing this means that at least virtually there should be one processor available for each pixel. The mapping onto a smaller number of exist- by compiler, and as of ing real processors is done transparently the such is not interest here.

Algorithms for Parallel Processing

Автор: Michael T. Heath; Abhiram Ranade; Robert S. Schrei
Название: Algorithms for Parallel Processing
ISBN: 1461271754 ISBN-13(EAN): 9781461271758
Издательство: Springer
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Описание: This IMA Volume in Mathematics and its Applications ALGORITHMS FOR PARALLEL PROCESSING is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on "MATHEMATICS IN HIGH-PERFORMANCE COMPUTING.


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