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Spectral Methods Using Multivariate Polynomials on the Unit Ball (Hardcover) Loot Price: R4,565
Discovery Miles 45 650
Spectral Methods Using Multivariate Polynomials on the Unit Ball (Hardcover): Rory Cox, Faye Donnelly, Anthony Lang Jr.

Spectral Methods Using Multivariate Polynomials on the Unit Ball (Hardcover)

Rory Cox, Faye Donnelly, Anthony Lang Jr.

Series: Chapman & Hall/CRC Monographs and Research Notes in Mathematics

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Loot Price R4,565 Discovery Miles 45 650 | Repayment Terms: R428 pm x 12*

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Spectral Methods Using Multivariate Polynomials on the Unit Ball is a research level text on a numerical method for the solution of partial differential equations. The authors introduce, illustrate with examples, and analyze 'spectral methods' that are based on multivariate polynomial approximations. The method presented is an alternative to finite element and difference methods for regions that are diffeomorphic to the unit disk, in two dimensions, and the unit ball, in three dimensions. The speed of convergence of spectral methods is usually much higher than that of finite element or finite difference methods. Features Introduces the use of multivariate polynomials for the construction and analysis of spectral methods for linear and nonlinear boundary value problems Suitable for researchers and students in numerical analysis of PDEs, along with anyone interested in applying this method to a particular physical problem One of the few texts to address this area using multivariate orthogonal polynomials, rather than tensor products of univariate polynomials.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Monographs and Research Notes in Mathematics
Release date: November 2019
First published: 2020
Editors: Rory Cox • Faye Donnelly • Anthony Lang Jr.
Dimensions: 234 x 156 x 21mm (L x W x T)
Format: Hardcover
Pages: 262
ISBN-13: 978-0-367-34547-1
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN: 0-367-34547-1
Barcode: 9780367345471

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