Strong convergence of the truncated Euler–Maruyama method for stochastic functional differential equations
DOI10.1080/00207160.2017.1395871zbMath1499.65299OpenAlexW2766939755MaRDI QIDQ5028587
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Publication date: 10 February 2022
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2017.1395871
strong convergencelocal Lipschitz conditionstochastic functional differential equationKhasminskii-type conditiontruncated Euler-Maruyama method
Numerical methods for initial value problems involving ordinary differential equations (65L05) Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations (65L60)
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Cites Work
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- Khasminskii-type theorems for stochastic functional differential equations
- The truncated Euler-Maruyama method for stochastic differential equations
- Generalised theory on asymptotic stability and boundedness of stochastic functional differential equations
- Exponential stability in mean square of neutral stochastic differential functional equations
- Strong convergence rates for backward Euler on a class of nonlinear jump-diffusion problems
- Convergence rates of the truncated Euler-Maruyama method for stochastic differential equations
- Random differential inequalities
- Stochastic differential delay equations of population dynamics
- Approximate solutions for a class of stochastic evolution equations with variable delays
- Strong Convergence of Euler-Type Methods for Nonlinear Stochastic Differential Equations
- Numerical Solutions of Stochastic Functional Differential Equations
- Stochastic Differential Equations with Markovian Switching
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