Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4627440 | Applied Mathematics and Computation | 2014 | 15 Pages |
Abstract
This paper shows several classes of numerical algorithms, which we call GIP integrators, that can solve for X past its singularities. Furthermore, none of the algorithms require knowledge of the placement or even existence of singularities in X. Also, it is shown how embedded Runge-Kutta methods can be used to construct GIP integrators to not only approximate X past singularities but also provide for error estimation to allow efficient time stepping. Finally, several examples are shown to validate the theory.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
C. Kristopher Garrett, Ren-Cang Li,