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Parallel and Distributed Computation: Numerical Quantity: 1 Methods (Optimization and Neural Computation) (Paperback) by Dimitri P. Bertsekas (Author) or (1 customer review) Sign in to turn on 1-Click ordering. or List Price: $49.50 Price: $49.50 & this item ships for FREE with Super Saver Shipping. Details Amazon Prime Free Trial Share your own customer images In Stock. required. Sign up when you Publisher: learn how customers can search Ships from and sold by Amazon.com. Gift-wrap available. check out. Learn More inside this book.
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Editorial Reviews Review "This book marks an important landmark in the theory of distributed systems and I highly recommend it to students and practicing engineers in the fields of operations research and computer science, as well as to mathematicians interested in numerical methods." --L. Mason, IEEE Communications Magazine
"This major contribution to the literature belongs on the bookshelf of every scientist with an interest in computational science, directly beside Knuth's three volumes and Numerical Recipes..." --A. Nagurney, Int. J. of Supercomputer Appl.
"This major work of exceptional scholarship summarizes more than three decades of research into general-purpose algorithms for solving systems of equations and optimization problems." --W. F. Smyth, Computing Reviews
Product Description This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. Among its special features, the book: 1) Quantifies the performance of parallel algorithms, including the limitations imposed by the communication and synchronization penalties. 2) Describes communication algorithms for a variety of system architectures including tree, mesh, and hypercube. 3) Provides a comprehensive convergence analysis of asynchronous methods and a comparison with their asynchronous counterparts. 4) Covers direct and iterative algorithms for linear and nonlinear systems of equations and variational inequalities. 5) Describes optimization methods for nonlinear programming, shortest paths, dynamic programming, network flows, and large-scale decomposition. 6) Includes extensive research material on optimization methods, asynchronous algorithm convergence, rollback synchronization, asynchronous communication network protocols, and others. 7) Supplements the text material with many exercises, whose complete solutions are posted on the internet. 8) Contains a lot of material not found in any other book.
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Product Details Paperback: 718 pages Publisher: Athena Scientific; 1 edition (January 1, 1997) Language: English ISBN-10: 1886529019 ISBN-13: 978-1886529014 Product Dimensions: 9.2 x 7 x 1.9 inches Shipping Weight: 3 pounds (View shipping rates and policies) Average Customer Review: (1 customer review) Amazon.com Sales Rank: #478,032 in Books (See Bestsellers in Books) Popular in these categories: (What's this?) #42 in Books > Computers & Internet > Hardware > Parallel Processing Computers #79 in Books > Computers & Internet > Databases > Distributed Databases
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Citations (learn more) 38 books cite this book: Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science) by Behrooz Parhami on 4 pages Space-Time Processing for MIMO Communications by Alex Gershman on page 315 Communication and Control in Electric Power Systems: Applications of Parallel and Distributed Processing (IEEE Press Series on Power Engineering) by Mohammad Shahidehpour in Back Matter Numerical Recipes in Fortran 90, Vol. 2 by William H. Press on page 36 Structured Development Of Parallel Programs by Pelagatti in Back Matter
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0 of 1 people found the following review helpful: Great Book, April 3, 2000 By A Customer Excellent book. I agree with much of the editorial review. I have found this book very useful for my work in distributed computation. The authors are thorough and exact in their work and rely heavily on matrix and probabilistic methods for their results. If you are into parallel and distributed algorithms, then this is a must have book.
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