Convergence Estimates In Approximation Theory

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Last edited by MARC Bot
October 6, 2024 | History

Convergence Estimates In Approximation Theory

The study of linear positive operators is an area of mathematical studies with significant relevance to studies of computer-aided geometric design, numerical analysis, and differential equations. This book focuses on the convergence of linear positive operators in real and complex domains. The theoretical aspects of these operators have been an active area of research over the past few decades. In this volume, authors Gupta and Agarwal explore new and more efficient methods of applying this research to studies in Optimization and Analysis. The text will be of interest to upper-level students seeking an introduction to the field and to researchers developing innovative approaches.

Publish Date
Pages
361

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Edition Availability
Cover of: Convergence Estimates In Approximation Theory
Convergence Estimates In Approximation Theory
2014, Springer International Publishing AG

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Book Details


Classifications

Library of Congress
QA401-425QA329-329.9, QA221 .G87 2014

ID Numbers

Open Library
OL26016307M
ISBN 13
9783319027647
LCCN
2013956134
OCLC/WorldCat
870962634

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
October 6, 2024 Edited by MARC Bot import existing book
October 10, 2020 Edited by ImportBot import existing book
August 3, 2020 Edited by ImportBot import existing book
October 14, 2016 Edited by Mek Added new cover
October 14, 2016 Created by Mek Added new book.