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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis

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Orthogonal Polynomials of Several Variables (Hardcover, 2nd Revised edition) Loot Price: R3,085
Discovery Miles 30 850
You Save: R841 (21%)
Orthogonal Polynomials of Several Variables (Hardcover, 2nd Revised edition): Charles F. Dunkl, Yuan Xu

Orthogonal Polynomials of Several Variables (Hardcover, 2nd Revised edition)

Charles F. Dunkl, Yuan Xu

Series: Encyclopedia of Mathematics and its Applications

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Was R3,926 Loot Price R3,085 Discovery Miles 30 850 | Repayment Terms: R289 pm x 12* You Save R841 (21%)

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Serving both as an introduction to the subject and as a reference, this book presents the theory in elegant form and with modern concepts and notation. It covers the general theory and emphasizes the classical types of orthogonal polynomials whose weight functions are supported on standard domains. The approach is a blend of classical analysis and symmetry group theoretic methods. Finite reflection groups are used to motivate and classify symmetries of weight functions and the associated polynomials. This revised edition has been updated throughout to reflect recent developments in the field. It contains 25% new material, including two brand new chapters on orthogonal polynomials in two variables, which will be especially useful for applications, and orthogonal polynomials on the unit sphere. The most modern and complete treatment of the subject available, it will be useful to a wide audience of mathematicians and applied scientists, including physicists, chemists and engineers.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Series: Encyclopedia of Mathematics and its Applications
Release date: August 2014
Authors: Charles F. Dunkl • Yuan Xu
Dimensions: 240 x 159 x 28mm (L x W x T)
Format: Hardcover
Pages: 426
Edition: 2nd Revised edition
ISBN-13: 978-1-107-07189-6
Categories: Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
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LSN: 1-107-07189-5
Barcode: 9781107071896

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