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Numerical Solution Of Partial Differential Equations: Finite Difference Methods (Oxford Applied Mathematics & Computing Science Series) (Oxford Applied Mathematics and Computing Science Series) - Softcover
Inhaltsangabe
Numerical solution of partial differential equations editado por Oxford UP
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Reseña del editor
Substantially revised, this authoritative study covers the standard finite difference methods of parabolic, hyperbolic, and elliptic equations, and includes the concomitant theoretical work on consistency, stability, and convergence. The new edition includes revised and greatly expanded sections on stability based on the Lax-Richtmeyer definition, the application of Pade approximants to systems of ordinary differential equations for parabolic and hyperbolic equations, and a considerably improved presentation of iterative methods. A fast-paced introduction to numerical methods, this will be a useful volume for students of mathematics and engineering, and for postgraduates and professionals who need a clear, concise grounding in this discipline.
Biografía del autor
G. D. Smith is at Brunel University.
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- VerlagOxford University Press, U.S.A.
- Erscheinungsdatum1986
- ISBN 10 0198596502
- ISBN 13 9780198596509
- EinbandTapa blanda
- SpracheEnglisch
- Auflage3
- Anzahl der Seiten354
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Numerical Solution of Partial Differential Equations: Finite Difference Methods (Oxford Applied Mathematics and Computing Science Series)
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Numerical Solution of Partial Differential Equations: Finite Difference Methods (Oxford Applied Mathematics and Computing Science Series)
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Numerical Solution of Partial Differential Equations: Finite Difference Methods (Oxford Applied Mathematics and Computing Science Series)
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Numerical Solution of Partial Differential Equations: Finite Difference Methods (Oxford Applied Mathematics and Computing Science Series)
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Numerical Solution of Partial Differential Equations: Finite Difference Methods (Oxford Applied Mathematics and Computing Science Series)
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Numerical Solution of Partial Differential Equations
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