EconPapers    
Economics at your fingertips  
 

Stabilized explicit methods for the approximation of stochastic systems driven by small additive noises

H. de la Cruz

Chaos, Solitons & Fractals, 2020, vol. 140, issue C

Abstract: We develop an approach for the construction of stable numerical schemes for the strong approximation of stochastic differential systems with small additive noises. Explicit integrators with valuable stability properties are proposed and their mean-square convergence is studied. Computer simulations are carry out to illustrate the practical performance of the methods and their advantages in comparison with other existing integrators.

Keywords: Stochastic differential equations; Stability; Small noises; Computer simulation; Local linearization approach; Additive noise (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077920305919
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:140:y:2020:i:c:s0960077920305919

DOI: 10.1016/j.chaos.2020.110195

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().

 
Page updated 2025-03-19
Handle: RePEc:eee:chsofr:v:140:y:2020:i:c:s0960077920305919