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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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Subjects
Inner product spaces, Approximation theoryEdition | 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
April 20, 2001, Springer
in English
0387951563 9780387951560
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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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November 13, 2023 | Edited by MARC Bot | import existing book |
July 29, 2020 | Edited by MARC Bot | import existing book |
May 12, 2020 | Edited by ImportBot | import new book |
April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
December 10, 2009 | Created by WorkBot | add works page |