Abstract
In this paper, we using semi-discrete method, transformed convection-diffusion equation into a ODEs: \(\frac{dU(t)}{dt}\) = AU(t), then we get the solution of the ODEs: U(t) = e tA U0. Furthermore, we give a numerical approximation for e tA and get a special difference scheme for solving the convection-diffusion equation which improve the accuracy order and stability condition greatly. The accuracy order is fourth order and second order in space and time direction respectively. Finally, numerical result shows that this method is effective.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ismail, H.N.A., Elbarbary, E.M.E. Salem, G.S.E.: Restrictive Taylor’s approximation for solving convection-diffusion equation. Appl. Math. Comput. 147, 355-363 (2004)
Salkuyeh, D.K.: On the finite difference approximation to the convection-diffusion equation. Appl. Math. Comput. 179, 79–86 (2006)
Smith, G.D.: Numerical Solution of Partial Differential Equations(finite difference method). Oxford University Press, Oxford (1990)
Sousa, E.: The controversial stability analysis. Appl. Math. Comput. 145, 777–794 (2003)
Thomas, J.W.: Numerical Partial Differential Equations(finite difference methods). Springer, New York (1995)
Varga, R.S.: Matrix Iterative Analysis. Springer, Berlin (2000)
Zhang, W.S.: Finite Difference Methods for Partial Differential Equation in Science Computation. Higher Education Press, Beijing (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ding, H., Zhang, Y. (2011). A New Numerical Method for Solving Convection-Diffusion Equations. In: Li, S., Wang, X., Okazaki, Y., Kawabe, J., Murofushi, T., Guan, L. (eds) Nonlinear Mathematics for Uncertainty and its Applications. Advances in Intelligent and Soft Computing, vol 100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22833-9_56
Download citation
DOI: https://doi.org/10.1007/978-3-642-22833-9_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22832-2
Online ISBN: 978-3-642-22833-9
eBook Packages: EngineeringEngineering (R0)