Direct Methods for Sparse Linear Systems by Timothy A. Davis
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Direct Methods for Sparse Linear Systems
By Timothy A. Davis

Direct Methods for Sparse Linear Systems

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Format: Paperback

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Direct Methods for Sparse Linear Systems by Timothy A. Davis

Book Description

Computational scientists often encounter problems requiring the solution of sparse systems of linear equations. Attacking these problems efficiently requires an in-depth knowledge of the underlying theory, algorithms, and data structures found in sparse matrix software libraries. Here, Davis presents the fundamentals of sparse matrix algorithms to provide the requisite background. The book includes CSparse, a concise downloadable sparse matrix package that illustrates the algorithms and theorems presented in the book and equips readers with the tools necessary to understand larger and more complex software packages. With a strong emphasis on MATLAB(R) and the C programming language, Direct Methods for Sparse Linear Systems equips readers with the working knowledge required to use sparse solver packages and write code to interface applications to those packages. The book also explains how MATLAB performs its sparse matrix computations.

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Book Details

ISBN: 9780898716139
ISBN-10: 0898716136
Format: Paperback
(228mm x 152mm x 13mm)
Pages: 184
Imprint: Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publish Date: 1-Sep-2006
Country of Publication: United States

Books By Author Timothy A. Davis

MATLAB Primer by Timothy A. Davis MATLAB Primer, Paperback (August 2010)

Provides an introduction to MATLAB[registered] that can be used at the undergraduate level. This book features the use of MATLAB 8.0. It covers object-oriented programming in MATLAB and the improvements that have been made to the MATLAB desktop and programming tools.

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Author Biography - Timothy A. Davis

Timothy A. Davis is an Associate Professor in Computer and Information Science and Engineering at the University of Florida. He is the author of a suite of sparse matrix packages that are widely used in industry, academia, and government research labs, and related articles in SIAM, ACM, and IEEE journals. He is the co-author of a well-used introduction to MATLAB, the MATLAB Primer (Chapman & Hall/CRC Press, 2005). He is a member of the editorial boards of the IEEE Transactions on Parallel and Distributed Systems, and Computational Optimization and Applications.

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