A class of flexible and efficient partitioned Runge-Kutta-Chebyshev methods for some time-dependent partial differential equations
Xiao Tang, Junwei Huang
公開日: 2025/9/18
Abstract
Many time-dependent partial differential equations (PDEs) can be transformed into an ordinary differential equations (ODEs) containing moderately stiff and non-stiff terms after spatial semi-discretization. In the present paper, we construct a new class of second-order partitioned explicit stabilized methods for the above ODEs. We treat the moderately stiff term with an s-stage Runge-Kutta-Chebyshev (RKC) method and treat the non-stiff term with a 4m-stage explicit Runge-Kutta (RK) method. Different from several existing partitioned explicit stabilized methods that employ fixed-stage RK methods to handle the non-stiff term, both the parameters $s$ and $m$ in our methods can be flexibly adjusted as needed for the problems. This feature endows our methods with superior flexibility and applicability compared to several existing partitioned explicit stabilized methods, as demonstrated in several specific numerical examples (including the advection-diffusion equations, the Burgers equations, the Brusselator equations and the damped wave equations).