Parallel Algorithms and Matrix Computation Download

Author: Jagdish J. Modi
Edition:
Binding: Paperback
ISBN: 0198596707

Parallel Algorithms and Matrix Computation (Oxford Applied Mathematics and Computing Science)

One of the first textbooks on the topic, this book brings together and further articulates the fundamental concepts in parallel computing. Get Parallel Algorithms and Matrix Computation computer books for free.
It covers the application of parallel algorithms to numerical linear algebra, with an emphasis on the design and analysis of algorithms that are of particular importance in both industrial and academic research. The first part is devoted to a discussion of the general principles and techniques involved, and is illustrated by numerous examples. Dr. Modi goes on to describe some key areas of application, such as sorting, linear systems, partial differential equations, singular-value decomposition, and eigenvalue analysis. Based on a lecture course at the University of Cambridge, the text will appeal to those Check Parallel Algorithms and Matrix Computation our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Parallel Algorithms and Matrix Computation Download

It covers the application of parallel algorithms to numerical linear algebra, with an emphasis on the design and analysis of algorithms that are of particular importance in both industrial and academic research. The first part is devoted to a discussion of the general principles and techniques involved, and is illustrated by numerous examples. Dr. Modi goes on to describe some key areas of application, such as sorting, linear systems, partial differential equations, singular-value decomposition, and eigenvalue analysis t covers the application of parallel algorithms to numerical linear algebra, with an emphasis on the design and analysis of algorithms that are of particular importance in both industrial and academic research. The first part is devoted to a discussion of the general principles and techniques involved, and is illustrated by numerous examples. Dr. Modi goes on to describe some key areas of application, such as sorting, linear systems, partial differential equations, singular-value decomposition, and eigenvalue analysis. Based on a lecture course at the University of Cambridge, the text will appeal to those

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