Theoretical Numerical Analysis: A Functional Analysis Framework (Texts in Applied Mathematics) | 
 enlarge | Authors: Kendall Atkinson, Weimin Han
Publisher: Springer
Category: Book
List Price: $79.95
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Rating:  2 reviews
Sales Rank: 783142
Media: Hardcover
Edition: 2nd
Pages: 576
Number Of Items: 1
Shipping Weight (lbs): 1.6
Dimensions (in): 9.1 x 6.2 x 1.4
ISBN: 0387258876
Dewey Decimal Number: 515
EAN: 9780387258874
Publication Date: June 21, 2007
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Condition: Brand New. Mint Condition. **US 2nd Ed**. "HARDCOVER". Deliver in 2-3 Biz Days with Tracking Number !! No APO/PO/FPO.
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Product Description
This textbook covers basic results of functional analysis and also some additional topics which are needed in theoretical numerical analysis. For this second edition, a new chapter on Fourier analysis and wavelets and over 140 new exercises have been added, almost doubling the exercise amount from the last edition. Many sections from the first edition have been revised. Some of the other topics covered in this book are functional analysis and approximation theory, nonlinear analysis, Sobolev spaces, elliptic boundary value problems and variational inequalities.
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| Customer Reviews:
 About Theoretical Numerical Analysis
by Kendall E. Atkinson April 18, 2005
Sommariva Alvise (Australia)
7 out of 7 found this review helpful
The book presents an abstract point of view of Numerical Analysis (as one can immediatly see by the title!). It is written by a master in the topic, author of more than 70 publications at the higher levels, well known for his contributions in Integral and Partial Differential Equations.
If one is interested on the basic aspects of numerical analysis, I also suggest to consider his well known manual "Elementary Numerical Analysis".
The present book presents several aspects that are not covered by most of the manuals in Numerical Analysis and highly contributes to have a wider idea of convergence and stability of some well known methods.
 not so useful for much numerical analysis March 8, 2005
W Boudville (Terra, Sol 3)
4 out of 9 found this review helpful
The emphasis on this book is on functional analysis, and secondarily numerical analysis. The former is certainly well done. But the problem is that if you are a computer scientist, say, and looking to this book to give a more rigorous understanding of numerical methods, this book might disappoint. The functional analysis requires a fairly strong background in pure maths. Candidly, the application of this to numerical methods may be too abstruse and not that understandable to you.
A typical use of numerical research is to improve the efficiency of an algorithm. This book might not be that useful in this regard. This is not meant to detract from the typical research level texts put out by Springer, of which this is one. Just that perhaps it could have been better titled.
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