Approximation Theory, Wavelets and Applications - Info and Reading Options
By S.P. Singh

"Approximation Theory, Wavelets and Applications" is published by Springer in Dec 08, 2010 - Dordrecht and it has 600 pages.
“Approximation Theory, Wavelets and Applications” Metadata:
- Title: ➤ Approximation Theory, Wavelets and Applications
- Author: S.P. Singh
- Number of Pages: 600
- Publisher: Springer
- Publish Date: Dec 08, 2010
- Publish Location: Dordrecht
“Approximation Theory, Wavelets and Applications” Subjects and Themes:
- Subjects: ➤ Approximation theory - Wavelets (mathematics) - Algorithms - Operator theory - Functional analysis - Mathematics - Integral Transforms - Approximations and Expansions - Operational Calculus Integral Transforms
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL28016622M - OL8360948W
- ISBN-13: 9789048145164 - 9789401585774
- ISBN-10: 9048145163
- All ISBNs: 9048145163 - 9789048145164 - 9789401585774
AI-generated Review of “Approximation Theory, Wavelets and Applications”:
"Approximation Theory, Wavelets and Applications" Description:
The Open Library:
Approximation Theory, Wavelets and Applications draws together the latest developments in the subject, provides directions for future research, and paves the way for collaborative research. The main topics covered include constructive multivariate approximation, theory of splines, spline wavelets, polynomial and trigonometric wavelets, interpolation theory, polynomial and rational approximation. Among the scientific applications were de-noising using wavelets, including the de-noising of speech and images, and signal and digital image processing. In the area of the approximation of functions the main topics include multivariate interpolation, quasi-interpolation, polynomial approximation with weights, knot removal for scattered data, convergence theorems in Padé theory, Lyapunov theory in approximation, Neville elimination as applied to shape preserving presentation of curves, interpolating positive linear operators, interpolation from a convex subset of Hilbert space, and interpolation on the triangle and simplex. Wavelet theory is growing extremely rapidly and has applications which will interest readers in the physical, medical, engineering and social sciences.
Open Data:
Approximation Theory, Wavelets and Applications draws together the latest developments in the subject, provides directions for future research, and paves the way for collaborative research. The main topics covered include constructive multivariate approximation, theory of splines, spline wavelets, polynomial and trigonometric wavelets, interpolation theory, polynomial and rational approximation. Among the scientific applications were de-noising using wavelets, including the de-noising of speech and images, and signal and digital image processing. In the area of the approximation of functions the main topics include multivariate interpolation, quasi-interpolation, polynomial approximation with weights, knot removal for scattered data, convergence theorems in Padé theory, Lyapunov theory in approximation, Neville elimination as applied to shape preserving presentation of curves, interpolating positive linear operators, interpolation from a convex subset of Hilbert space, and interpolation on the triangle and simplex. Wavelet theory is growing extremely rapidly and has applications which will interest readers in the physical, medical, engineering and social sciences
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