
Parallel and Distributed Computation: Numerical Methods (Optimization and Neural Computation)
Author(s): Dimitri P. Bertsekas (Author), Dimitri P Bertsekas (Author), John Tsitsiklis (Author)
- Publisher finelybook 出版社: Athena Scientific
- Publication Date 出版日期: January 1, 1997
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 718 pages
- ISBN-10: 1886529019
- ISBN-13: 9781886529014
Book 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) Cove
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
About the Author
The authors are Professors of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and are members of the National Academy of Engineering.
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