Applications and Computation of Orthogonal Polynomials - Info and Reading Options
Conference at the Mathematical Research Institute Oberwolfach, Germany March 22-28, 1998
By Walter Gautschi

"Applications and Computation of Orthogonal Polynomials" was published by Birkhäuser Basel in 1999 - Basel, it has 282 pages and the language of the book is English.
“Applications and Computation of Orthogonal Polynomials” Metadata:
- Title: ➤ Applications and Computation of Orthogonal Polynomials
- Author: Walter Gautschi
- Language: English
- Number of Pages: 282
- Publisher: Birkhäuser Basel
- Publish Date: 1999
- Publish Location: Basel
“Applications and Computation of Orthogonal Polynomials” Subjects and Themes:
- Subjects: Orthogonal polynomials - Mathematics - Mathematics, general
Edition Specifications:
- Format: [electronic resource] :
- Pagination: 1 online resource (282 pages).
Edition Identifiers:
- The Open Library ID: OL27017453M - OL19827137W
- Online Computer Library Center (OCLC) ID: 840290632
- ISBN-13: 9783034886857
- ISBN-10: 3034886853
- All ISBNs: 3034886853 - 9783034886857
AI-generated Review of “Applications and Computation of Orthogonal Polynomials”:
"Applications and Computation of Orthogonal Polynomials" Description:
The Open Library:
This volume contains a collection of papers dealing with applications of orthogonal polynomials and methods for their computation. The applications address problems in applied mathematics as well as problems in engineering and the sciences. Prominent among the former are least-squares approximations, Gauss and related quadrature, iterative methods in linear algebra, the detection of singularities, and integral equations. Applications of the latter kind include the use of wavelets in medical diagnostics and the relevance of orthogonal polynomials in optimal control, dynamical systems, and gas dynamics. Computational methods relate to numerical and symbolic computation and include, in particular, matrix interpretation and convergence, perturbation, and stability analyses of relevant algorithms. Generalizations of orthogonal polynomials are also considered, for example, s-orthogonal, matrix- and tensor-valued, Müntz-type, and complex orthogonal polynomials. This volume is of interest to a wide audience of numerical analysts, engineers, and scientists.
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