Runge–Kutta Lawson schemes for stochastic differential equations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10543-020-00839-8.pdf
Reference30 articles.
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2. Arnold, L.: Stochastic differential equations: theory and applications. Wiley-Interscience [John Wiley & Sons], New York-London-Sydney (1974). Translated from the German
3. Biscay, R., Jimenez, J.C., Riera, J.J., Valdes, P.A.: Local linearization method for the numerical solution of stochastic differential equations. Ann. Inst. Statist. Math. 48(4), 631–644 (1996). https://doi.org/10.1007/BF00052324
4. Buckwar, E., Kelly, C.: Towards a systematic linear stability analysis of numerical methods for systems of stochastic differential equations. SIAM J. Numer. Anal. 48(1), 298–321 (2010). https://doi.org/10.1137/090771843
5. Buckwar, E., Kelly, C.: Non-normal drift structures and linear stability analysis of numerical methods for systems of stochastic differential equations. Comput. Math. Appl. 64(7), 2282–2293 (2012). https://doi.org/10.1016/j.camwa.2012.02.059
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