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Numerical Solution of Partial Differential Equations

Numerical Solution of Partial Differential Equations

Numerical Solution of Partial Differential Equations Paperback - 1995

by Mayers, D. F

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Paperback. Very Good.
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Details

  • Title Numerical Solution of Partial Differential Equations
  • Author Mayers, D. F
  • Binding Paperback
  • Edition first
  • Condition Used - Very good
  • Pages 239
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, Cambridge
  • Publication date 1995-01
  • Illustrated Yes
  • Bookseller's Inventory # GOR002158856
  • ISBN 9780521429221 / 0521429226
  • Weight 0.82 lbs (0.37 kg)
  • Dimensions 9 x 5.98 x 0.6 in (22.86 x 15.19 x 1.52 cm)
  • Category Mathematics
  • Library of Congress subjects Differential equations, Partial - Numerical
  • Library of Congress Catalogue Number 94006670
  • Dewey Decimal Code 515.353
  • Quantity available 2

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Reader reviews for Numerical Solution of Partial Differential Equations

From the publisher

Partial differential equations are the chief means of providing mathematical models in science, engineering and other fields. Generally these models must be solved numerically. This book provides a concise introduction to standard numerical techniques, ones chosen on the basis of their general utility for practical problems. The authors emphasise finite difference methods for simple examples of parabolic, hyperbolic and elliptic equations; finite element, finite volume and spectral methods are discussed briefly to see how they relate to the main theme. Stability is treated clearly and rigorously using maximum principles, energy methods, and discrete Fourier analysis. Methods are described in detail for simple problems, accompanied by typical graphical results. A key feature is the thorough analysis of the properties of these methods. Plenty of examples and exercises of varying difficulty are supplied. The book is based on the extensive teaching experience of the authors, who are also well-known for their work on practical and theoretical aspects of numerical analysis. It will be an excellent choice for students and teachers in mathematics, engineering and computer science departments seeking a concise introduction to the subject.
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