Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-23T07:59:17.343Z Has data issue: false hasContentIssue false

A Revisit of the Semi-Adaptive Method for Singular Degenerate Reaction-Diffusion Equations

Published online by Cambridge University Press:  28 May 2015

Qin Sheng*
Affiliation:
Department of Mathematics, Center for Astrophysics, Space Physics and Engineering Research, Baylor University, Waco, TX 76798-7328, USA
A. Q. M. Khaliq
Affiliation:
Department of Mathematical Sciences, Center for Computational Science, Middle Tennessee State University, Murfreesboro, TN 37132, USA
*
Corresponding author. Email: Qin_Sheng@baylor.edu
Get access

Abstract

This article discusses key characteristics of a semi-adaptive finite difference method for solving singular degenerate reaction-diffusion equations. Numerical stability, monotonicity, and convergence are investigated. Numerical experiments illustrate the discussion. The study reconfirms and improves several of our earlier results.

Type
Research Article
Copyright
Copyright © Global-Science Press 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Baker, G. A. and Graves-Morris, A., Padé Approximants, Cambridge University Press, London and New York, 1995.Google Scholar
[2]Bao, G., Wei, G. W. and Zhao, S., Numerical solution of the Helmholtz equation with high wavenumbers, Int. J. Numer. Meth. Engng., 59 (2004), 389408.Google Scholar
[3]Beauregard, M. and Sheng, Q., Solving degenerate quenching-combustion equations by an adaptive splitting method on evolving grids, Computers Struct., (2012), in press.Google Scholar
[4]Chan, C.Y. and Ke, L., Parabolic quenching for nonsmooth convex domains, J. Math. Anal. Appl., 186 (1994), 5265.CrossRefGoogle Scholar
[5]Cheng, H., Lin, P., Sheng, Q. and Tan, R. C. E., Solving degenerate reaction-diffusion equations via variable step Peaceman-Rachford splitting, SIAM J. Sci. Comput., 25 (2003), 12731292.CrossRefGoogle Scholar
[6]Ferreira, P., Numerical quenching for the semilinear heat equation with a singular absorption, J. Comput. Appl. Math., 228 (2009), 92103.CrossRefGoogle Scholar
[7]Furzeland, R. M., Verwer, J. G. and Zegeling, P. A., A numerical study of three moving-grid methods for one-dimensional partial differential equations which are based on the method of lines, J. Comput. Phys., 89 (1990), 349388.Google Scholar
[8]Iserles, A., A First Course in the Numerical Analysis of Differential Equations, Cambridge University Press, 2nd Ed., New York, 2011.Google Scholar
[9]Jain, B. and Sheng, A., An exploration of the approximation of derivative functions via finite differences, Rose-Hulman Undergrd. Math J., 8 (2007), 172188.Google Scholar
[10]Levine, H., Quenching, nonquenching, and beyond quenching for solutions of some parabolic equations, Ann. Math. Pure Appl., 4 (1989), 243260.CrossRefGoogle Scholar
[11]Nouaili, N., A Liouville theorem for a heat equation and applications for quenching, Nonlinearity, 24 (2011), 797832.Google Scholar
[12]Poole, G. and Boullion, T., A survey on M-matrices, SIAM Review, 16 (1974), 419427.CrossRefGoogle Scholar
[13]Qiao, Z., Zhang, Z. and Tang, T., An adaptive time-stepping strategy for the molecular beam epitaxy models, SIAM J. Sci. Comput., 33 (2011), 13951414.Google Scholar
[14]Sheng, Q., Adaptive decomposition finite difference methods for solving singular problems, Frontiers Math. China, 4 (2009), 599626.Google Scholar
[15]Sheng, Q. and Agarwal, R., Nonlinear variation of parameter methods for summary difference equations in several independent variables, J. Appl. Math. Comput., 61 (1994), 3960.CrossRefGoogle Scholar
[16]Sheng, Q. and Cheng, H., An adaptive grid method for degenerate semilinear quenching problems, Computers Math. Appl., 39 (2000), 5771.Google Scholar
[17]Sheng, Q. and Khaliq, A. Q. M., A compound adaptive approach to degenerate nonlinear quenching problems, Numer. Meth. Partial Diff. Eqns, 15 (1999), 2947.Google Scholar
[18]Sheng, Q. and Khaliq, A. Q. M., Linearly implicit adaptive schemes for singular reaction-diffusion equations, Chapter 9, Adaptive Method of Lines, CRC Press, London and New York, 2001.Google Scholar
[19]Sheng, Q. and Khaliq, A. Q. M., Modified arc-length adaptive algorithms for degenerate reaction-diffusion equations, Appl. Math. Comput., 126 (2002), 279297.Google Scholar
[20]Tan, Z. J., Zhang, Z. R., Huang, Y. Q. and Tang, T., Moving mesh methods with locally varying time steps, J. Comput. Phys., 200 (2004), 347367.CrossRefGoogle Scholar
[21]Trevelyan, J. and Honnor, M. E., A numerical coordinate transformation for efficient evaluation of oscillatory integrals over wave boundary elements, J. Integ. Eqn, 21 (2009), 447468.Google Scholar