A computational method for solving nonlinear stochastic Volterra integral equations

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摘要

In this paper, an efficient method for solving nonlinear stochastic Itô–Volterra integral equations (NSIVIEs) is proposed. By using new adjustment of hat basis functions and their stochastic operational matrix of integration, the NSIVIE is reduced to a nonlinear system of algebraic equations. Also, the error analysis of the proposed method is investigated and proved that the order of convergence is O(h4). Finally, numerical examples affirm the efficiency of the proposed method.

论文关键词:Adjustment of hat basis functions,Stochastic operational matrix,Nonlinear stochastic Itô–Volterra integral equations,Standard Brownian motion,Error analysis

论文评审过程:Received 7 August 2015, Revised 15 March 2016, Available online 19 April 2016, Version of Record 4 May 2016.

论文官网地址:https://doi.org/10.1016/j.cam.2016.04.012