应用数值线性代数
2011-2
清华大学出版社
戴梅尔
419
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Designed for use by first-year graduate students from a variety of engineering and scientific disciplines, 《Applied Numerical Linear Algebra》comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems,and the singular value decomposition. The author James Demmel, who helped design the widely used LAPACK and ScaLAPACK linear algebra libraries, draws on this experience to present state-of-the-art techniques for these problems, 《Applied Numerical Linear Algebra》including recommendations of which algorithms to use in a variety of practical situations.
作者：（美国）戴梅尔（James W.Demmel）James Demmel is a Professor in the Computer Science Division and Mathematics Department at the University of California, Berkeley.
《应用数值线性代数(英文影印版)》
preface
1 introduction
1.1 basic notation
1.2 standard problems of numerical linear algebra
1.3 general techniques
1.3.1 matrix factorizations
1.3.2 perturbation theory and condition numbers
1.3.3 effects of roundoff error on algorithms
1.3.4 analyzing the speed of algorithms
1.3.5 engineering numerical software
1.4 example: polynomial evaluation
1.5 floating point arithmetic
1.5.1 further details
1.6 polynomial evaluation revisited
1.7 vector and matrix norms
1.8 references and other topics for chapter 1
1.9 questions for chapter 1
2 linear equation solving
2.1 introduction
版权页：插图：
This book is a friendly treatment of numerical linear algebra tailored to first-year graduate students from a variety of engineering and scientific disciplines. The treatment of rounding error analysis and perturbation theory is exceptionally thorough and careful.... The author's writing style is very clear and a pleasure to read. —— William W. Hager, Mathematical Reviews, Issue 98m.Compare Demmel with the standard work by G. Golub and C. Van Loan, Matrix Computations (3rd ed., 1996)... Demmel offers a smaller number of topics but focuses on the most important, and provides o more readable introduction for beginners. —— B. Borchers, CHOICE, Vol. 35, No. 7, March 1998.The disposition is very much like a series of lectures, new concepts ore introduced precisely where needed...Illustrating examples are given, some reporting really heavy computations, but the author does not shy away from giving mathematical proofs where that is needed... —— A. Ruhe, Zeitschrift f?r Mathematik und ihre Grenzgebiete, Band 879/98.If you do any computing with matrices—— including linear systems, least squares and eigenvolues—— this book cannot but help you understand what you are doing and why. It presents state-of-the art material (as of June 1997) and can serve as a text or a reference... —— L. Ehrlich, Computing Reviews, February 1998.2im Demmel's book on applied numerical linear algebra is a wonderful text blending together the mathematical basis, good numerical software, and practical knowledge for solving real problems. It is destined to be o classic. —— Jack Dongarra, University of Tennessee, Knoxville.This is on excellent graduate-level textbook for people who want to learn or teach the state of the art of numerical linear algebra. It covers systematically all the fundamental topics in theory, as well as software implementation. The book is very easy to use in the classroom since it provides pointers, in the book and the author's home page, to lots of available Matlab and LAPACK routines, and it has a large number of homework problems marked Easy, Medium, and Hard. The book requires the students to have a stronger background in linear algebra than most other engineering books on numerical linear algebra. —— Xia-Chuan Cai, University Of Colorado.
《应用数值线性代数(影印版)》：国际著名数学图书
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中文版都买不到了，买到英文版更开心。发现这一个系列还有数值计算的几本好书，也是清华引进的，不知道何时出版。
这是一本从事计算数学的很好的参考书。
还不错，比较好，内容较丰富先进。
书的质量不错，但为什么没发票
看过中文版的，又来买原版了。很好的书。
书的质量还是很好的。这是一本经典的教材，正在阅读中……
比较基础，比较边缘化，但是看看也无妨
读原版的味道太舒服了本书非常优秀
这本是做数值代数必备的一本参考书，写的比较深，突出数值计算。很好。 Demmel 是数值代数方向的大牛。。
其他一切都好，就是书的纸张对不起这么好的书。
送货速度很快，印刷清楚，就是纸张质量稍差，不过还说得过去，总体很好，我很满意！
这本书的内容与质量是无需多言的，是数值代数的经典之作。但是这本书的纸质实在太差，让人感觉像是盗版的一样。不过以前买过Higham的一本书（也是这个系列）的，纸质也差不多，估计是出版社的问题。送货很快。
如果需要，不要犹豫，买了吧