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A version of the fundamental mean-square convergence theorem is proved for stochastic differential equations (SDE) which coefficients are allowed to grow polynomially at infinity and which satisfy a one-sided Lipschitz condition.
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D. Talay. Stochastic Hamiltonian systems: exponential convergence to the invariant measure, and discretization by the implicit Euler scheme. Markov Proc. Relat. Fields
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G.N. Milstein, M.V. Tretyakov. Numerical integration of stochastic differential equations with nonglobally Lipschitz coefficients. SIAM J. Num. Anal
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G.N. Milstein, M.V. Tretyakov. Computing ergodic limits for Langevin equations. Physica D
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N. Bou-Rabee, E. Vanden-Eijnden. A patch that imparts unconditional stability to explicit integrators for Langevin-like equations. J. Comp. Phys
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M. Hutzenthaler, A. Jentzen. Numerical approximation of stochastic differential equations with non-globally Lipschitz continuous coefficients
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E. Hairer, G. Wanner. Solving Ordinary Differential Equations II: Stiff and Differential-Algebraic Problems
2004
Cited alongside, same era.
G.N. Milstein, M.V. Tretyakov. Stochastic Numerics for Mathematical Physics
2004
Cited alongside, same era.
M. Hutzenthaler, A. Jentzen, P.E. Kloeden. Strong convergence of an explicit numerical method for SDEs with non-globally Lipschitz continuous coefficients. Ann. Appl. Probab
2012
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L. Szpruch, X. Mao. Strong convergence and stability of numerical methods for non-linear stochastic differential equations under monotone condition. J. Comp. App. Math
2013
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