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"This is the first systematic study of best approximation theory in inner product spaces and, in particular, in Hilbert space. Geometric considerations play a prominent role in developing and understanding the theory. The only prerequisites for reading the book are some knowledge of advanced calculus and linear algebra. Throughout the book, examples and applications have been interspersed with the theory.
Each chapter concludes with numerous exercises and a section in which the author puts the results of that chapter into a historical perspective. The book is based on lecture notes for a graduate course on best approximation that the author has taught for over twenty-five years."--BOOK JACKET.
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Edition | Availability |
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1
Best Approximation in Inner Product Spaces
Jan 31, 2014, Springer
paperback
1468492993 9781468492996
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2
Best Approximation in Inner Product Spaces
Dec 03, 2010, Springer New York
paperback
1441928901 9781441928900
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3
Best Approximation in Inner Product Spaces
April 20, 2001, Springer
in English
0387951563 9780387951560
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4
Best Approximation in Inner Product Spaces
2001, Springer New York
electronic resource /
in English
1468492985 9781468492989
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Book Details
First Sentence
"Problem 1. (Best least-squares polynomial approximation to data) Let {(tj,x(tj)) | j = 1,2,...,m} be a table of data (i.e., the graph of a real function x defined on the tj's)."
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- Created April 29, 2008
- 9 revisions
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November 13, 2023 | Edited by MARC Bot | import existing book |
October 4, 2021 | Edited by ImportBot | import existing book |
August 3, 2020 | Edited by MARC Bot | add LCCN |
July 29, 2020 | Edited by MARC Bot | import existing book |
April 29, 2008 | Created by an anonymous user | Imported from amazon.com record |