Course in Approximation Theory (Graduate Studies in Mathematics Vol 101)

Cheney, Ward; Light, Will

ISBN 10: 0821847988 / ISBN 13: 9780821847985

Published by American Mathematical Society, 2009

About this Item

As New in publisher's shrink wrap. No jacket as issued.

Seller Inventory # 007227

Bibliographic Details

• Title: Course in Approximation Theory (Graduate Studies in Mathematics Vol 101)
• Publisher: American Mathematical Society
• Publication Date: 2009
• Language: English
• ISBN 10: 0821847988
• ISBN 13: 9780821847985
• Binding: Hardcover
• Condition: As New
• Dust Jacket Condition: No Jacket as Issued
• Seller catalogs:
  • Mathematics

About this title

Synopsis

This textbook is designed for graduate students in mathematics, physics, engineering, and computer science. Its purpose is to guide the reader in exploring contemporary approximation theory. The emphasis is on multi-variable approximation theory, i.e., the approximation of functions in several variables, as opposed to the classical theory of functions in one variable. Most of the topics in the book, heretofore accessible only through research papers, are treated here from the basics to the currently active research, often motivated by practical problems arising in diverse applications such as science, engineering, geophysics, and business and economics. Among these topics are projections, interpolation paradigms, positive definite functions, interpolation theorems of Schoenberg and Micchelli, tomography, artificial neural networks, wavelets, thin-plate splines, box splines, ridge functions, and convolutions. An important and valuable feature of the book is the bibliography of almost 600 items directing the reader to important books and research papers. There are 438 problems and exercises scattered through the book allowing the student reader to get a better understanding of the subject.

About the Author

Ward Cheney is Professor of Mathematics at the University of Texas at Austin. His research interests include approximation theory, numerical analysis, and extremum problems.