Numerical Solution of Partial Differential Equations: An Introduction |
| Authors: K. W. Morton, D. F. Mayers
Publisher: Cambridge University Press
Category: Book
List Price: $50.00
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Avg. Customer Rating:  1 reviews
Sales Rank: 145785
Media: Paperback
Edition: 2
Number Of Items: 1
Pages: 278
Shipping Weight (lbs): 1.1
Dimensions (in): 8.8 x 6 x 0.6
ISBN: 0521607930
Dewey Decimal Number: 518.64
EAN: 9780521607933
ASIN: 0521607930
Publication Date: April 11, 2005
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Condition: Ships next business day from NY
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Editorial Reviews:
Product Description
This second edition of a highly successful graduate text presents a complete introduction to partial differential equations and numerical analysis. Revised to include new sections on finite volume methods, modified equation analysis, and multigrid and conjugate gradient methods, the second edition brings the reader up-to-date with the latest theoretical and industrial developments. First Edition Hb (1995): 0-521-41855-0 First Edition Pb (1995): 0-521-42922-6
Book Description
Second edition of a highly succesful graduate text giving a complete introduction to partial differential equations and numerical analysis. Revised to include new sections on finite volume methods, modified equation analysis, multigrid, and conjugate gradient methods. The new text brings the reader up-to-date with the latest theoretical and industrial developments.
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Customer Reviews:
Good Starter March 8, 2001
19 out of 27 found this review helpful
This book is a good starter for understanding how to numerically solve (Partial Differential Equations)PDE's. The chapters are arranged in an orderly manner and hints are provided then and there so that you wont need to switch back and forth between them. I myself a researcher in the field of Finite Element Analysis, which extensively involves PDE's for implementing the Finite element model. A thorough knowlegde of PDE's and the nature of their solutions is very important for such fields. This book is definitely the one which describes the nature of PDE's solutions and their interpretation, boundedness and applicability.
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