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A fast Euler-Maruyama scheme and its strong convergence for multi-term Caputo tempered fractional stochastic differential equations
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报告人:
Jingna Zhang, Assistant Professor, Yangzhou University
邀请人:
Yifa Tang, Professor
题目:
A fast Euler-Maruyama scheme and its strong convergence for multi-term Caputo tempered fractional stochastic differential equations
时间地点:
9:00-10:00 August 21 (Thursday), N933
摘要:

In this report, we consider a kind of multi-term Caputo tempered fractional stochastic differential equations and prove the existence and uniqueness of the true solution. Then we derive an Euler-Maruyama (EM) scheme to solve the considered equations. In view of the huge computational cost caused by the EM scheme to achieve reasonable accuracy, a fast EM scheme is proposed based on the sum-of-exponentials approximation to improve its computational efficiency. Moreover, the strong convergence of our two numerical schemes are proved. Finally, several numerical examples are carried out to support our theoretical results and demonstrate the superior computational efficiency of the fast EM scheme.