Strong convergence rate of the stochastic theta method for nonlinear hybrid stochastic differential equations with piecewise continuous arguments
Crossref DOI link: https://doi.org/10.1007/s40314-022-02089-6
Published Online: 2022-11-02
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhang, Yuhang
Song, Minghui http://orcid.org/0000-0002-0570-0124
Liu, Mingzhu
Zhao, Bowen
Funding for this research was provided by:
National Natural Science Foundation of China (12071101, 11671113)
Text and Data Mining valid from 2022-11-02
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Article History
Received: 26 April 2022
Revised: 14 July 2022
Accepted: 17 October 2022
First Online: 2 November 2022