首页 - 学术活动This talk focuses on the first-order convergence rate for the ergodic errors and ergodic limits of numerical approximations to a class of superlinear SODEs driven by multiplicative noise. By leveraging the generator approach within the Stein method, we derive a general error representation formula for one-step numerical schemes. Our framework applies to several recently studied schemes, including the tamed Euler, projected Euler, and backward Euler methods.