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Adapted $\theta$-Scheme and Its Error Estimates for Backward Stochastic Differential Equations. (arXiv:1808.02173v1 [math.NA])

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In this paper we propose a new kind of high order numerical scheme for backward stochastic differential equations(BSDEs). Unlike the traditional $\theta$-scheme, we reduce truncation errors by taking $\theta$ carefully for every subinterval according to the characteristics of integrands. We give error estimates of this nonlinear scheme and verify the order of scheme through a typical numerical experiment.


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