Approximations of Euler-Maruyama type for stochastic differential equations with Markovian switching, under non-Lipschitz conditions
DOI10.1016/j.cam.2006.01.052zbMath1121.65011OpenAlexW2054324811MaRDI QIDQ885945
Xuerong Mao, Chenggui Yuan, G. George Yin
Publication date: 14 June 2007
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2006.01.052
stochastic differential equationconvergenceBrownian motionMarkov chainnon-Lipschitz conditionEuler-Maruyama method
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Brownian motion (60J65) Ordinary differential equations and systems with randomness (34F05) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (28)
Cites Work
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- Higher-order implicit strong numerical schemes for stochastic differential equations
- Necessary and sufficient condition for robust stability and stabilizability of continuous-time linear systems with Markovian jumps
- Convergence of the Euler--Maruyama method for stochastic differential equations with Markovian switching.
- Stability of stochastic differential equations with Markovian switching
- A Theory of the Term Structure of Interest Rates
- Stochastic stability properties of jump linear systems
- Strong Convergence of Euler-Type Methods for Nonlinear Stochastic Differential Equations
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Some remarks on the duality of continuous time markov chains
- Stochastic Equations in Infinite Dimensions
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