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Partial Differential Equations – Analytical and Numerical Methods

Partial Differential Equations – Analytical and Numerical Methods

Partial Differential Equations – Analytical and Numerical Methods Hardback - 2010

by Mark S. Gockenbach

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Cambridge University Press, 2010. Hardcover. New. 2nd edition edition. 674 pages. 10.20x7.00x1.40 inches.
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Details

  • Title Partial Differential Equations – Analytical and Numerical Methods
  • Author Mark S. Gockenbach
  • Binding Hardback
  • Edition 2nd edition
  • Condition New
  • Pages 674
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2010
  • Illustrated Yes
  • Bookseller's Inventory # __0898719356
  • ISBN 9780898719352 / 0898719356
  • Weight 3 lbs (1.36 kg)
  • Dimensions 10.2 x 7.1 x 1.4 in (25.91 x 18.03 x 3.56 cm)
  • Category Mathematics
  • Library of Congress subjects Differential equations, Partial
  • Library of Congress Catalogue Number 2010034976
  • Dewey Decimal Code 515.353
  • Quantity available 1

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Reader reviews for Partial Differential Equations – Analytical and Numerical Methods

From the publisher

Undergraduate courses on partial differential equations (PDEs) have traditionally been based on the Fourier series method for analysing and solving PDEs. What this textbook offers is a fresh approach; the traditional method taught alongside the modern finite element method. Both powerful methods are introduced to the reader and emphasised equally. A further beneficial feature of the book is that it uses the language of linear algebra, in particular in emphasising the role of best approximation in function spaces and the idea of an eigenfunction expansion. Its inclusion of realistic physical experiments for many examples and exercises will make the book appealing to science and engineering students, as well as students of mathematics. This second edition has a broader coverage of PDE methods and applications than the first, with the inclusion of chapters on the method of characteristics, Green's functions, Sturm-Liouville problems and a section on finite difference methods.
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