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      Finite Difference Schemes for Linear Stochastic Integro-Differential Equations

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          Abstract

          We study the rate of convergence of an explicit and an implicit-explicit finite difference scheme for linear stochastic integro-differential equations of parabolic type arising in non-linear filtering of jump-diffusion processes. We show that the rate is of order one in space and order one-half in time.

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          Rate of Convergence of Space Time Approximations for stochastic evolution equations

          Stochastic evolution equations in Banach spaces with unbounded nonlinear drift and diffusion operators driven by a finite dimensional Brownian motion are considered. Under some regularity condition assumed for the solution, the rate of convergence of various numerical approximations are estimated under strong monotonicity and Lipschitz conditions. The abstract setting involves general consistency conditions and is then applied to a class of quasilinear stochastic PDEs of parabolic type.
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            A numerical approximation of parabolic stochastic partial differential equations driven by a Poisson random measure

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              Finite Element Approximation of Stochastic Partial Differential Equations driven by Poisson Random Measures of Jump Type

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                Author and article information

                Journal
                2013-10-15
                2016-03-19
                Article
                10.1016/j.spa.2016.04.025
                1310.4117
                d835734a-cdb9-453b-9150-0190dd7ce75d

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                60H15, 65M06
                math.PR math.NA

                Numerical & Computational mathematics,Probability
                Numerical & Computational mathematics, Probability

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