Name
Abstract | ||
|---|---|---|
Random ordinary differential equations (RODEs) are ordinary differential equations (ODEs) which have a stochastic process in their vector field functions. They have been used in a wide range of applications such as biology, medicine and engineering and play an important role in the theory of random dynamical systems. RODEs can be investigated pathwise as deterministic ODEs, however, the classical numerical methods for ODEs do not attain original order of convergence because the stochastic process has at most Hölder continuous sample paths and the resulting vector is also at most Hölder continuous in time. Recently, Jenzen & Kloeden derived new class of numerical methods for RODEs using integral versions of implicit Taylor-like expansions and developed arbitrary higher order schemes for RODEs. Their idea can be applied to random ordinary delay differential equations (RODDEs) by implementing Taylor-like expansions in the corresponding delay term. In this paper, numerical methods for RODDEs are systematically constructed based on Taylor-like expansions and they are applied to virus dynamics model with random fluctuations and time delay. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.amc.2018.11.033 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Random ODE,Delay ODE,Pathwise convergence,Virus dynamics | Ordinary differential equation,Mathematical analysis,Vector field,Stochastic process,Dynamical systems theory,Hölder condition,Rate of convergence,Numerical analysis,Delay differential equation,Mathematics | Journal |
Volume | ISSN | Citations |
347 | 0096-3003 | 0 |
PageRank | References | Authors |
0.34 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yusuke asai | 1 | 0 | 1.35 |
| Peter E. Kloeden | 2 | 87 | 21.04 |