مشخصات پژوهش

عنوان	An adaptive time-stepping algorithm for a stochastic Lotka–Volterra competitive model with time-dependent delays
نوع پژوهش	مقاله ارائه شده
کلیدواژه‌ها	Variable step-size, Stochastic Lotka-Volterra model, Time-dependent delays, Milstein method.
چکیده	In this paper, a variable step-size strategy is proposed for a Lotka-Volterra stochastic competitive model with time-dependent delays. In this adaptive strategy, the numerical solution proceeds with the Milstein method and the step-sizes are determined by two local error estimators based on the drift and diffusion parts of the model. Numerical results show better accuracy of the proposed strategy compared to a reference fxed step-size mechanism.
پژوهشگران	افشین بابائی (نفر سوم)، زهرا زارعی ولوجایی (نفر دوم)، علی ولی نژاد (نفر اول)