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CONVERGENCE ANALYSIS OF PARAREAL ALGORITHM BASED ON MILSTEIN SCHEME FOR STOCHASTIC DIFFERENTIAL EQUATIONS 被引量:1

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摘要 In this paper,we propose a parareal algorithm for stochastic differential equations(SDEs),which proceeds as a two-level temporal parallelizable integrator with the Milstein scheme as the coarse propagator and the exact solution as the fine propagator.The convergence order of the proposed algorithm is analyzed under some regular assumptions.Finally,numerical experiments are dedicated to illustrate the convergence and the convergence order with respect to the iteration number k,which show the efficiency of the proposed method.
出处 《Journal of Computational Mathematics》 SCIE CSCD 2020年第3期487-501,共15页 计算数学(英文)
基金 We are very grateful to the reviewers for reading our paper carefully and providing many useful comments and suggestions.The first author is supported by NNSFC(Nos.11601514,11771444,11801556 and 11971458) The fourth author is supported by Beijing Nature Science Foundation(No.1152002) This work is also supported by NSF of Jiangsu Province of China(BK.20130779).
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