Numerical Linear Algebra on High-Performance Computers

Front Cover
This book presents a unified treatment of recently developed techniques and current understanding about solving systems of linear equations and large scale eigenvalue problems on high-performance computers. It provides a rapid introduction to the world of vector and parallel processing for these linear algebra applications. Topics include major elements of advanced-architecture computers and their performance, recent algorithmic development, and software for direct solution of dense matrix problems, direct solution of sparse systems of equations, iterative solution of sparse systems of equations, and solution of large sparse eigenvalue problems. This book supercedes the SIAM publication Solving Linear Systems on Vector and Shared Memory Computers, which appeared in 1990. The new book includes a considerable amount of new material in addition to incorporating a substantial revision of existing text.
 

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Contents

SE07_ch1
1
SE07_ch2
31
SE07_ch3
39
SE07_ch4
57
SE07_ch5
71
SE07_ch6
107
SE07_ch7
149
SE07_ch8
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SE07_ch10
231
SE07_ch11
263
SE07_appendixa
273
SE07_appendixb
277
SE07_appendixc
291
SE07_appendixd
295
SE07_backmatter
301
Copyright

SE07_ch9
195

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