@Article{JCM-26-838,
author = {Dong Wang and Steven J. Ruuth},
title = {Variable Step-Size Implicit-Explicit Linear Multistep Methods for Time-Dependent Partial Differential Equations},
journal = {Journal of Computational Mathematics},
year = {2008},
volume = {26},
number = {6},
pages = {838--855},
abstract = {<p style="text-align: justify;">Implicit-explicit (IMEX) linear multistep methods are popular techniques for solving partial differential equations (PDEs) with terms of different types. While fixed time-step versions of such schemes have been developed and studied, implicit-explicit schemes also naturally arise in general situations where the temporal smoothness of the solution changes. In this paper we consider easily implementable variable step-size implicit-explicit (VSIMEX) linear multistep methods for time-dependent PDEs. Families of order-$p$, $p$-step VSIMEX schemes are constructed and analyzed, where $p$ ranges from 1 to 4. The corresponding schemes are simple to implement and have the property that they reduce to the classical IMEX schemes whenever constant time step-sizes are imposed. The methods are validated on the Burgers&#39; equation. These results demonstrate that by varying the time step-size, VSIMEX methods can outperform their fixed time step counterparts while still maintaining good numerical behavior.</p>},
issn = {1991-7139},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jcm/8663.html}
}