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Separation of Variables for Partial Differential Equations - An Eigenfunction Approach (Hardcover) Loot Price: R5,132
Discovery Miles 51 320
Separation of Variables for Partial Differential Equations - An Eigenfunction Approach (Hardcover): George Cain, Gunter H. Meyer

Separation of Variables for Partial Differential Equations - An Eigenfunction Approach (Hardcover)

George Cain, Gunter H. Meyer

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Loot Price R5,132 Discovery Miles 51 320 | Repayment Terms: R481 pm x 12*

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Adopting the view common in the finite element analysis, the authors of Separation of Variables for Partial Differential Equations: An Eigenfunction Approach introduce a computable separation of variables solution as an analytic approximate solution. At the heart of the text, they consider a general partial differential equation in two independent variables with a source term and subject to boundary and initial conditions. They give an algorithm for approximating and solving the problem and illustrate the application of this approach to the heat, wave, and potential equations. They illustrate the power of the technique by solving a variety of practical problems, many of which go well beyond the usual textbook examples. Written at the advanced undergraduate level, the book will serve equally well as a text for students and as a reference for instructors and users of separation of variables. It requires a background in engineering mathematics, but no prior exposure to separation of variables. The abundant worked examples provide guidance for deciding whether and how to apply the method to any given problem, help in interpreting computed solutions, and give insight into cases in which formal answers may be useless.

General

Imprint: Chapman & Hall/CRC
Country of origin: United States
Release date: November 2005
First published: November 2005
Authors: George Cain • Gunter H. Meyer
Dimensions: 234 x 156 x 22mm (L x W x T)
Format: Hardcover
Pages: 304
ISBN-13: 978-1-58488-420-0
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
LSN: 1-58488-420-7
Barcode: 9781584884200

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