The tamed Euler-Maruyama approximation of Mckean-Vlasov stochastic differential equations and asymptotic error analysis
DOI10.3934/dcdss.2023029zbMath1515.60251OpenAlexW4321505101MaRDI QIDQ6107313
Publication date: 3 July 2023
Published in: Discrete and Continuous Dynamical Systems. Series S (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/dcdss.2023029
strong convergenceweak convergencelocal Lipschitz conditionMcKean-Vlasov stochastic differential equationerror processtamed Euler-Maruyama
Computational methods for problems pertaining to probability theory (60-08) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30) Stochastic particle methods (65C35)
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