Best Approximation in Inner Product Spaces

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Last edited by MARC Bot
November 13, 2023 | History

Best Approximation in Inner Product Spaces

"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.

Publish Date
Publisher
Springer
Language
English
Pages
360

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Edition Availability
Cover of: Best Approximation in Inner Product Spaces
Best Approximation in Inner Product Spaces
Jan 31, 2014, Springer
paperback
Cover of: Best Approximation in Inner Product Spaces
Best Approximation in Inner Product Spaces
April 20, 2001, Springer
in English

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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)."

Classifications

Library of Congress
QA1-939, QA322.4 .D48 2001

Edition Identifiers

Open Library
OL7448755M
ISBN 10
0387951563
ISBN 13
9780387951560
LCCN
00047092
OCLC/WorldCat
45024471

Work Identifiers

Work ID
OL8058861W

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History

Download catalog record: RDF / JSON
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