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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations

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Wavelet Methods for Elliptic Partial Differential Equations (Hardcover, New) Loot Price: R5,612
Discovery Miles 56 120
Wavelet Methods for Elliptic Partial Differential Equations (Hardcover, New): Karsten Urban

Wavelet Methods for Elliptic Partial Differential Equations (Hardcover, New)

Karsten Urban

Series: Numerical Mathematics and Scientific Computation

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Loot Price R5,612 Discovery Miles 56 120 | Repayment Terms: R526 pm x 12*

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The origins of wavelets go back to the beginning of the last century and wavelet methods are by now a well-known tool in image processing (jpeg2000). These functions have, however, been used successfully in other areas, such as elliptic partial differential equations, which can be used to model many processes in science and engineering. This book, based on the author's course and accessible to those with basic knowledge of analysis and numerical mathematics, gives an introduction to wavelet methods in general and then describes their application for the numerical solution of elliptic partial differential equations. Recently developed adaptive methods are also covered and each scheme is complemented with numerical results, exercises, and corresponding software tools.

General

Imprint: Oxford UniversityPress
Country of origin: United Kingdom
Series: Numerical Mathematics and Scientific Computation
Release date: November 2008
First published: June 2008
Authors: Karsten Urban
Dimensions: 242 x 164 x 33mm (L x W x T)
Format: Hardcover
Pages: 510
Edition: New
ISBN-13: 978-0-19-852605-6
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
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LSN: 0-19-852605-9
Barcode: 9780198526056

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