๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Selected topics in approximation and computation

โœ Scribed by Marek Kowalski, Christopher Sikorski, Frank Stenger


Book ID
127456467
Publisher
Oxford University Press
Year
1995
Tongue
English
Weight
5 MB
Series
International Series of Monographs on Computer Science
Edition
First Edition and First Printing
Category
Library
City
New York
ISBN
142373789X

No coin nor oath required. For personal study only.

โœฆ Synopsis


Selected Topics in Approximation and Computation addresses the relationship between modern approximation theory and computational methods. The text is a combination of expositions of basic classical methods of approximation leading to popular splines and new explicit tools of computation, including Sinc methods, elliptic function methods, and positive operator approximation methods. It also provides an excellent summary of worst case analysis in information based complexity. It relates optimal computational methods with the theory of s-numbers and n-widths. It can serve as a text for senior-graduate courses in computer science and applied mathematics, and also as a reference for professionals.


๐Ÿ“œ SIMILAR VOLUMES


Selected topics in approximation and com
โœ Marek Kowalski, Christopher Sikorski, Frank Stenger ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐Ÿ› Oxford University Press ๐ŸŒ English โš– 2 MB

Selected Topics in Approximation and Computation addresses the relationship between modern approximation theory and computational methods. The text is a combination of expositions of basic classical methods of approximation leading to popular splines and new explicit tools of computation, including

Multivariate approximation theory: selec
โœ E. W. Cheney ๐Ÿ“‚ Library ๐Ÿ“… 1986 ๐Ÿ› Society for Industrial and Applied Mathematics ๐ŸŒ English โš– 602 KB

The approximation of functions of several variables continues to be a difficult problem in scientific computing because many of the algorithms required for such problems have yet to be written. This monograph is written for a broad audience of computational mathematicians and statisticians concerned