Convergence of numerical solutions for variable delay differential equations driven by Poisson random jump measure
DOI10.1016/j.amc.2009.02.041zbMath1172.65008OpenAlexW2029471792MaRDI QIDQ1026318
Publication date: 24 June 2009
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2009.02.041
convergencestrong convergenceWiener processdelay differential equationsPoisson processsemi-implicit Euler methodcompensated Poisson random measure
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stochastic functional-differential equations (34K50) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (9)
Cites Work
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- The semi-implicit Euler method for stochastic differential delay equation with jumps
- Higher-order implicit strong numerical schemes for stochastic differential equations
- Almost sure exponential stability of neutral stochastic differential difference equations
- Continuous \(\Theta\)-methods for the stochastic pantograph equation
- Weak discrete time approximation of stochastic differential equations with time delay
- Numerical solutions of stochastic differential delay equations under local Lipschitz condition
- One-step approximations for stochastic functional differential equations
- Exponential stability in \(p\)-th mean of solutions, and of convergent Euler-type solutions, of stochastic delay differential equations
- Probability with Martingales
- Numerical Solutions of Stochastic Functional Differential Equations
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